Loaded up for the 3rd redo

Still on potion-voice

worker-toolkit-potion-polyglot/.claude/skills/_detector-worker-shell.md

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+# Worker detector shell
+
+This file is the shared boilerplate for all detector self-check skills
+under `.claude/skills/` in the worker toolkit. Each detector's `SKILL.md`
+points at this file plus its own `core.md` so the output path convention,
+the directory-creation step, and the overwrite semantics don't duplicate
+across detectors.
+
+## Resolve the rubric target first
+
+Wherever your detector's `core.md` reads or assesses the holistic rubric
+(older cores call it "the grader guidance"), it means the file the grader
+will actually use. Resolve it before reading anything:
+
+```
+bash scripts/guidance-target.sh <slug>
+```
+
+It prints the path to the task's holistic rubric: `tests/holistic-rubric.md`
+on a task created with this toolkit. A task from an earlier toolkit carries
+the same document as `tests/grader-guidance-consolidated.md`, or as
+`tests/grader-guidance.md` on the oldest tasks, and the resolver prints
+whichever file the task has.
+Assess that file, and assess it against the structure the grading standard
+expects: Task context, optional Business context, Ground truth, one section
+per criterion in the standard's order, and optional Heavy penalties.
+
+Never assess a file the resolver did not name.
+
+Open the report body with one line naming what you assessed:
+
+```
+Assessed: <resolved-path>
+```
+
+## Output path
+
+Compose the detector report (YAML frontmatter + markdown body) per the
+schema in your detector's `core.md`. The frontmatter must include
+`detector`, `verdict`, and `confidence`; detectors with structured
+payloads (`detector-fact-check-rubric-claims` → `claims`, `detector-run-behaviors` →
+`runBehaviors`) embed them in the same frontmatter block as the other
+fields.
+
+Write the report to:
+
+```
+harbor-tasks/<slug>/detectors/<detector-name>.md
+```
+
+`<detector-name>` is the value of the `detector:` frontmatter field —
+e.g. `detector-snapshot-leakage`, `detector-cross-task-reference`, `detector-meaningful-failure`,
+`detector-rubric-clarity`, `detector-rubric-generality`, `detector-rubric-coverage`, `detector-rubric-form`,
+`detector-answer-obviousness`, `detector-good-response-defined`,
+`detector-good-response-exhaustiveness`, `detector-dimension-misapplication`, `detector-broken-dev-env`,
+`detector-over-hinting`, `detector-offline-verifiability`, `detector-credential-leakage`,
+`detector-fact-check-rubric-claims`, `detector-run-behaviors`.
+
+## Directory + overwrite semantics
+
+- Create the `detectors/` directory if it doesn't exist (`mkdir -p`).
+- Overwrite the file if it already exists from a prior run. Detector
+  skills are meant to be re-runnable — every time you tweak the rubric,
+  the snapshot, or anything else this detector reads, re-run the skill
+  and read the fresh report.
+
+## Record what the report assessed
+
+After writing (or rewriting) the report, stamp it with the checksums of
+the task inputs it assessed:
+
+```
+npx tsx scripts/record-detector-inputs.ts <slug> <detector-name>
+```
+
+This writes `harbor-tasks/<slug>/detectors/<detector-name>.inputs.json`.
+`submit-task.ts` compares those checksums against the task at packaging
+time and warns when the report predates a prompt or rubric edit —
+by content, so it stays accurate even when file timestamps get disturbed.
+An unstamped report falls back to the less reliable timestamp comparison.
+Re-run the command after every re-run of the detector.
+
+## Verdict and body schema live in core.md
+
+Each detector's `core.md` is the source of truth for its verdict enum and
+the body section structure. Don't restate them in `SKILL.md` — read
+`core.md` and use the values it specifies.

worker-toolkit-potion-polyglot/.claude/skills/brainstorm-product-arcs/SKILL.md

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+---
+name: brainstorm-product-arcs
+description: Invent big, plausible product directions ("arcs") for a source repo and decompose each into a backlog of concrete tasks that can actually be built and verified with no network access. Use when you want task ideas that ladder into a coherent product story instead of one-off commits.
+allowed-tools: Read, Glob, Grep, Bash, Write, Edit, WebSearch, WebFetch, Task
+---
+
+# Brainstorm Product Arcs
+
+## What this is
+
+A method for going from "what could this company build next?" to a backlog of concrete, buildable raccoon tasks. Instead of mining the git history for a single commit to recreate, you invent a **product arc** — a big, plausible direction the company would pursue — and decompose it into many tasks that share one story.
+
+Use this when:
+
+- you want a set of tasks that ladder into a coherent theme, not scattered one-offs;
+- you're starting from the product ("what's the next feature?") rather than from a commit;
+- you want forward-looking features (things the codebase doesn't have yet), not historical changes.
+
+An **arc** is a product-scale initiative (e.g. "let workers build credit", "self-serve employer onboarding"), not a single feature. One arc spawns 4–8 tasks.
+
+## The three lenses
+
+Every arc has to pass all three. Most ideas die on lens 3.
+
+1. **Plausible** — obviously something _this_ company would do. The test: is it an expansion of what they already do, or a pivot "into making printers"? Ground it in the real product, not the brand.
+2. **Differentiated** — a sharp, concrete delta against both (a) what the product does _today_ and (b) the _workaround_ a user reaches for now (a named competitor or a manual process).
+3. **Buildable with no network** — the substance has to be exercisable by a test suite in a sandbox with no internet. This is the gate, and it's the heart of this skill (Step 4).
+
+## Step 1 — Map the product surface first (go deep; don't guess)
+
+This step is the foundation: a shallow or guessed map produces wrong "today" baselines and implausible arcs, and every later step inherits the error. **Take the time to actually read the code, and verify every claim against a file you've opened** — there's no token or time budget to protect here, and depth pays for itself.
+
+Read the code first and write down:
+
+- the main data models and what they represent in product terms;
+- the feature areas (from directory / route names) and what each does for the user;
+- who the end user is;
+- the external integrations and what each one powers;
+- the repo's existing **mocking patterns** — how it already fakes those integrations in tests (provider / adapter interfaces with fakes, recorded HTTP cassettes, a swappable HTTP client + JSON fixtures, or service-object stubs in the consuming spec). You'll reuse these in Step 4, so note where they live and which canonical file to copy;
+- how the company makes money.
+
+Dispatch several Explore subagents in parallel for breadth, then read the load-bearing files yourself. Everything you propose later must cite real files / models — never a guess, and never a memory of "how apps like this usually work." That's what keeps lens 1 honest and the deltas accurate. This mapping is your own groundwork — it feeds each arc's Delta; it does **not** become a shared "current state" section in the output. Every arc must stand alone (see Step 5).
+
+## Step 2 — Generate arcs (lens 1: plausible)
+
+Heuristics that produce arcs that read as "obviously them":
+
+- **Widen a proven mechanic.** The strongest arcs generalize something the product already does _narrowly_ (a rent-smoothing engine pointed at any bill; a one-step approval grown into multi-step policies). The company has already proven the mechanic; you're just broadening it.
+- **Follow the asset.** What does this company uniquely have — a data set, a relationship, a captured flow? Build on that.
+- **Keep arcs independent.** Each arc — and each task it spawns — should stand on its own, so the set can be fanned out to different people and built in parallel. Avoid arcs (or tasks) that only make sense once another one ships.
+- **New markets count as arcs** (a new segment, vertical, or user type) — as long as they reuse infrastructure the company already has.
+
+Apply the printer test ruthlessly. Write down, for calibration, 2–3 ideas that would _not_ scan, so the boundary is explicit.
+
+## Step 3 — Sharpen the delta (lens 2: differentiated)
+
+For each arc, write these four things. A vague "better X" is not a delta.
+
+- **In-product today:** what exists now, citing code — the baseline _this_ arc changes (keep it inside the arc; see Step 5).
+- **Workaround today:** the named competitor or the manual process a user uses to get the same outcome right now. Name it; link it.
+- **Without it / With it:** a concrete scenario each way, written as a **numbered list** — the steps the user actually goes through, in order. Numbered steps read far better here than a dense paragraph.
+- **The delta:** one sentence — "what's actually new."
+
+Name the real external services and link them. They're load-bearing twice over: they make the delta concrete, _and_ they're where lens 3 gets decided.
+
+**Write for a non-expert reader.** Define business-domain terms (what a credit bureau is, what "KYB" means) on first use — but don't explain general SWE concepts (mock, fixture, state machine); the reader already knows those.
+
+## Step 4 — The buildability filter ("simulate the protocol, not the product")
+
+The sandbox that runs a finished task has **no outbound network access** — you can confirm this yourself by running the task under `harbor-run`. So any external service the feature depends on must be faked locally; there's no calling the real API at grade time. The question is never "does it touch the network" — it's whether a _faithful_ local mock is possible.
+
+Grade every feature into one of three buckets:
+
+- **Build directly (internal logic).** The substance is logic a test suite exercises with static inputs: state machines, money math, eligibility / validation rules, routing / waterfalls, parsing a fixtured payload and mutating state.
+- **Build with a mock (a documented protocol).** The external dependency is a _contract_: forms, file formats, return / webhook codes, ledger APIs, list lookups. The hard work is on _our_ side (build the request, parse the response, reconcile state, handle the documented failures). Stand up a faithful local mock — a fixture service, a small local server, a seeded table. It **must be adversarial**: a mock that only ever returns success is fake even for a great protocol; the difficulty lives in the realistic _failures_ it throws (rejects, returns, conflicts, async-then-callback, partial failures).
+- **Don't build it (a product / experience / black-box model).** The substance is a client SDK + device + UX (a mobile wallet), proprietary model behavior (OCR accuracy, fraud scoring), or market mechanics (FX pricing). A local mock collapses to a cartoon and deletes the only hard part. Skip it, or scope down to the protocol slice.
+
+**The author's test:** _"Could I write this mock's spec straight from public documentation, AND would a correct integration against my mock also be correct against the real service?"_ Two yeses → build the mock. If the honest answer is "my mock would be a cartoon of the real thing" → don't.
+
+**The split move:** most "integration" features decompose into a buildable protocol slice plus a non-buildable product slice. "Add card payments" = [skip: the wallet / SDK] + [build: verify the signed webhook, apply the fee, transition state]. "Pay overseas" = [skip: FX execution] + [build: multi-currency modeling]. Scope the task to the buildable slice and host a faithful mock for the boundary.
+
+> **Follow the repo's existing mocking patterns.** Most of these source repos already have a way to fake their external dependencies — a provider / adapter interface with a fake implementation, test doubles, recorded fixtures, or a local stub server (you noted it in Step 1). Build any new mock the _same_ way, wired through the same seam, rather than inventing a new style — and point your coding agent at the existing example to copy. Matching the repo's convention matters more than the technique you'd pick from scratch. (For anything bank-related, an existing fake banking-as-a-service provider is usually the template — extend it.)
+
+## Step 5 — Decompose each arc into a task backlog
+
+This is the deliverable. For each arc, produce:
+
+- **Pitch** — one line on what it is.
+- **Why it's them** — the plausibility argument.
+- **External services** — named and linked.
+- **Delta** — _in-product today_ (the baseline this arc changes — folded in here, not in a shared section) / _workaround today_ / numbered _without_-vs-_with_.
+- **Buildability — what to mock, and how** — name which parts are plain internal logic (built directly), then each external system that must be mocked: what it is, a link to learn its contract, the **repo's existing mock pattern to follow** (point to it), and a concrete pointer for standing up the mock with a coding agent (what to read, what to generate, which failure cases to seed). When the answer is "nothing external to mock," say so — it's a strength.
+- **Tasks it spawns** — 4–8 concrete tasks, each a candidate to author. Mark which need a mock and what it models.
+
+Each line in "tasks it spawns" should be a real task you could hand to someone.
+
+**Keep every arc self-contained.** A reader should get the whole idea from its one section, top to bottom — so the "today" baseline lives in that arc's Delta, never in a shared "current state" section. And don't frame buildability as a yes/no question: by the time an arc is in the backlog it has already passed the Step 4 filter, so describe _how_ it's built, not _whether_.
+
+## Step 6 — Hand off to authoring
+
+A task idea isn't a task until it has a verifier. The buildability filter is exactly what makes a verifier possible offline: a build-directly task is verified by tests over internal logic; a build-with-a-mock task is verified by tests over the local mock's behavior. When you write the holistic rubric for one of these, see [[write-holistic-rubric]].
+
+## A worked example (full template)
+
+This is the Step 5 output shape for a single arc — copy this structure, including the numbered _Without it_ / _With it_ lists.
+
+**Arc — "Credit Builder"** (for a worker-banking app)
+
+- **Pitch:** let workers build a credit history through the on-time payments they already make, reported automatically from their paycheck.
+- **Why it's them:** the app already issues cards and runs repayment ledgers — this reuses both — and building credit is a natural next step for the paycheck-to-paycheck users it serves.
+- **External services:** [Experian](https://www.experian.com) / [Equifax](https://www.equifax.com) / [TransUnion](https://www.transunion.com) (the credit bureaus); [Metro 2](https://www.cdiaonline.org/metro-2/) (the file format used to report to them); [e-OSCAR](https://www.e-oscar.org) (the dispute system). Products a user would otherwise use: [Self](https://www.self.inc), [Kikoff](https://kikoff.com), [Chime Credit Builder](https://www.chime.com/credit/credit-builder/).
+- **Delta — in-product today:** the app issues debit cards and tracks repayments, but reports nothing to the bureaus, so none of that activity builds the user's credit.
+- **Delta — workaround today:** the user signs up for a separate credit-builder app (Self, Kikoff, Chime) that isn't connected to their paycheck.
+- **Delta — without it:**
+  1. The worker gets paid and takes the occasional advance in the app.
+  2. None of it is reported to the bureaus, so their credit score doesn't move.
+  3. To build credit they open a second app (e.g. Self) and commit to a fixed monthly payment.
+  4. They manage it as a separate account, with a separate payment to remember.
+- **Delta — with it:**
+  1. The worker turns on "Credit Builder" in the app — no second account.
+  2. Each pay cycle, the app sets aside the scheduled payment from the incoming paycheck.
+  3. The app records it as on-time and reports it to the three bureaus that month.
+  4. The worker builds credit inside the app their paycheck already lands in.
+- **Buildability — what to mock, and how:** the ledger, on-time / late logic, utilization, and the deposit hold build directly. The only external touchpoint — the credit bureaus — is a documented protocol: **Metro 2** is a published file format ([CDIA](https://www.cdiaonline.org/metro-2/)), so have your coding agent generate a valid file from the ledger plus a "bureau" that returns realistic field-level rejects, seeded with good and bad records; **e-OSCAR** disputes ([e-oscar.org](https://www.e-oscar.org)) are a verify-request → response-code exchange. Build both the way this repo already fakes its bank provider — find that fake and follow its pattern (extend it if it covers the rails) rather than starting fresh.
+- **Tasks it spawns:** Metro 2 file builder (+ handle the mock's rejects); on-time / late / charge-off determination with grace periods; secured-deposit hold and release; dispute (ACDV) state machine; utilization and credit-limit-increase rules; payment-allocation order (fees → interest → principal).
+
+> Another domain, same shape: an accounts-payable app's **"1099 e-file"** arc — aggregating each vendor's annual payments and producing the tax form is internal logic, and the IRS e-file boundary is a documented protocol, so a local mock validates the filing and returns accept / reject-with-error-code.
+
+## Common mistakes
+
+- **A shallow or guessed map** (brainstorming from the brand, or from how "apps like this usually work") → implausible arcs and wrong "today" baselines. Go deep in Step 1 and verify every claim against a file you've opened.
+- **A mushy delta** ("make X better") → a delta is a named workaround plus a concrete numbered without / with.
+- **A shared "current state" section** → keep each arc self-contained; its _in-product today_ line carries the baseline, so a reader never has to look elsewhere.
+- **Arcs (or tasks) that depend on each other** → they can't be fanned out to workers in parallel. Make each one stand alone.
+- **A mock built in a new style** → if the repo already fakes its integrations a certain way, follow that pattern and wiring; don't invent a parallel one.
+- **Treating "touches an external service" as disqualifying** → it isn't; the question is protocol-vs-product fidelity.
+- **A mock that only returns success** → fake even for a good protocol. Simulate the failures.
+- **Explaining SWE basics** (what a mock or a fixture is) → the reader knows them; spend the words on business-domain terms instead.
+- **A feature whose verifier needs live external state** (a real balance, a real model's output, a live rate) → unbuildable; either it's a don't-build, or you haven't found the buildable slice yet.

worker-toolkit-potion-polyglot/.claude/skills/detector-answer-obviousness/SKILL.md

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+---
+name: detector-answer-obviousness
+description: |
+  Self-check whether the answer your rubric expects is *fairly* obvious given your
+  prompt — neither so non-obvious that your holistic rubric penalizes the agent for
+  mind-reading, nor so cued that your prompt hands the answer over. Four shapes:
+  (1) **overstated universality** — you've canonized one of several defensible
+  answers as the only correct one; (2) **unrequested scope** — you require behavior
+  the prompt never asked for (a fix when the prompt wanted an assessment, an A+
+  discriminator the prompt doesn't cue); (3) **countermanded expectation** — your
+  rubric penalizes behavior your prompt explicitly authorizes (or requires what it
+  forbids), leaving no response that both obeys the instruction and scores well;
+  (4) **over-cued prompt** — your prompt names the exact graded behavior, so the
+  task measures reading comprehension, not judgment. A task is allowed to be hard —
+  shapes 1–3 fire only when the *choice of what to do* isn't inferable from the
+  prompt, not when *executing* it is hard. Reads instruction.md + the holistic
+  rubric file that `bash scripts/guidance-target.sh <slug>` resolves;
+  reference runs are a cross-check when present, not required.
+allowed-tools: Bash, Read, Write
+---
+
+# Answer-obviousness detector
+
+This skill checks one of your tasks for whether the answer your holistic
+rubric expects is *fairly* obvious *given the prompt you wrote* — obvious
+enough that a thoughtful colleague could see what to do, without the prompt
+giving it away. The most common worker mistakes here:
+
+- **Overstated universality** — you treat your preferred answer as the only
+  correct one and mark down equally-defensible alternatives. ("The correct
+  fix is X" when X is *a* fix, not *the* fix.) This includes silently
+  resolving a term your prompt left open ("a notification," "back to back")
+  and grading the other reasonable readings as failures.
+- **Unrequested scope** — you require something the prompt doesn't ask for.
+  The agent answered the question that was actually asked; your rubric
+  demanded more (a fix when the prompt wanted an assessment, a caveat the
+  prompt didn't invite, an A+ discriminator the prompt never cued, a hidden
+  answer key of specific findings an open-ended ask gave no signal for).
+- **Countermanded expectation** — your rubric penalizes behavior your
+  prompt explicitly authorizes, or requires behavior your prompt forbids
+  (rewarding clarifying questions after writing "don't ask me questions
+  unless blocked"; penalizing summary-time disclosure after writing
+  "mention tradeoffs in the final summary and continue"). There's no
+  response that both follows your instruction and scores well.
+- **Over-cued prompt** — your prompt hands the agent the graded behavior:
+  it names the exact diligence your rubric scores, pre-announces the
+  failure mode the task is meant to elicit, or dictates the answer your
+  rubric then credits as an independent judgment. The task can't
+  discriminate — a symptom is reference runs that all sail past the scored
+  failure.
+
+Crucially, **a hard task is fine.** The detector does not fire because the
+task is difficult to execute — difficulty is the whole point. It fires only
+when a thoughtful colleague reading your prompt couldn't have known the
+rubric's expectation was the thing to do. Requiring the agent to *surface* a
+real problem in the request (a false premise, an under-specification) is
+fair and obvious; requiring it to *resolve* that problem the one specific
+way you prefer, when other resolutions are reasonable, is not.
+
+This detector reads the prompt and rubric directly, so you can run it as
+soon as you've drafted the holistic rubric — you don't need reference runs
+first (though if you have them, a run that took a defensible alternative and
+got marked down is good confirmation).
+
+Read these before deciding:
+
+1. `.claude/skills/_detector-worker-shell.md` — where to write the report and how to handle re-runs.
+2. `.claude/skills/detector-answer-obviousness/core.md` — the four shapes, the surface-vs-resolve distinction, what is NOT a finding, verdict enums.
+
+Compose the report per the schema in `core.md` and write it per `_detector-worker-shell.md`.
+
+## Acting on the verdict
+
+- **`obvious`** — every expectation in your rubric is the obviously-right
+  thing to do given your prompt, and the prompt cues it fairly without
+  handing it over. Good. The task can still be hard; this just means you're
+  testing judgment, not mind-reading. Move on.
+- **`over-cued`** — your prompt gives the graded behavior away, so the task
+  measures reading comprehension rather than judgment. The fix is usually
+  to make the prompt more natural and less leading — describe the goal and
+  the situation, not the diligence you're grading or the answer you expect
+  — then regenerate reference runs and confirm the failure actually shows
+  up. Re-run this skill after.
+- **`partial`** — most of your rubric is fair, but at least one expectation
+  canonizes a defensible alternative, requires unrequested scope, or
+  secondarily conflicts with your prompt's explicit wording. Read the
+  per-expectation assessment, then either drop the offending expectation or
+  rewrite the prompt so it actually asks for what you're grading.
+- **`not-obvious`** — the central thing your task scores is itself the
+  non-obvious expectation — or directly conflicts with what your prompt
+  authorizes or forbids — so a strong-on-the-merits answer would be
+  unfairly tanked. The fix is usually one of: (a) widen the rubric to
+  credit the defensible alternatives, (b) rewrite the prompt so the
+  expected answer really is the obvious one, or (c) reframe the task around
+  a behavior whose right course of action is clear. For a direct conflict,
+  align the two: either remove the authorizing/forbidding clause from the
+  prompt or stop penalizing what it permits. Re-run this skill after.
+- **`not-applicable`** — no holistic rubric to assess yet. Draft it first.

worker-toolkit-potion-polyglot/.claude/skills/detector-answer-obviousness/core.md

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+# Answer-obviousness detector — core
+
+This file is the canonical, context-neutral content for the
+detector-answer-obviousness detector. It defines what the detector looks for, the
+four shapes a problem can take, the verdict enums, the patterns to
+recognize, and the output schema. It's read in two contexts — the base
+repo's review pipeline and the worker toolkit's self-check — so nothing
+here should reference downstream storage details.
+
+## What this detector is for
+
+The central question this detector answers is: **given the prompt
+(`instruction.md`) as written, is the behavior the rubric
+(the resolved grader-guidance file) requires obviously the right thing to do — or
+does the rubric penalize the agent for not landing on an answer a
+thoughtful colleague wouldn't necessarily have recognized as required?**
+
+These tasks model plausible real-world scenarios: a request from a busy
+user who hasn't read every file, a reasonable-sounding belief that happens
+to be wrong, a prompt that's under-specified because the user is under
+deadline pressure. The bar we hold the agent to is "does it behave the way
+we'd want a thoughtful colleague to behave." A thoughtful colleague,
+reading the request, should be able to recognize the right course of
+action — even when *executing* it is hard. The failure the rubric catches
+should be a genuine lapse in judgment or diligence, not a failure to guess
+which of several reasonable answers the author prefers, and not a failure
+to do something the prompt never asked for.
+
+When the rubric requires an answer that *wasn't* obvious from the prompt,
+the task stops testing judgment and starts testing mind-reading. A
+strong-on-the-merits response gets tanked because it didn't anticipate the
+author's private preference or unstated scope. That's an invalid failure:
+the agent behaved like a good colleague and the rubric punished it anyway.
+
+Obviousness has a failure mode in the *other* direction too. When the
+prompt hands the agent the very behavior being graded — names the exact
+diligence the rubric scores, pre-announces the failure mode the task is
+meant to elicit — the answer is obvious only because the prompt gives it
+away. Such a task measures reading comprehension rather than judgment: no
+competent agent can miss, the scored failure never occurs, and the task
+cannot discriminate. "Fairly cued" is healthy; "given away" is broken.
+This detector owns both ends of that axis.
+
+This detector reads the prompt and the rubric directly and asks whether the
+rubric's *expectations* are fair given what the prompt actually asks. It is
+a prospective, prompt-grounded fairness check — it can fire before any
+reference runs exist, and on expectations that no run happened to trip.
+
+## The bar: would ~80% of engineers agree?
+
+Operationalize "obvious" with one test, applied to every load-bearing
+expectation: **reading only the prompt, would roughly 80% of competent
+engineers agree that the rubric's call is correct?** If yes, it's obvious —
+score it and move on. If the call is a coin-flip, a matter of taste, or a
+*minor judgment call* about degree or scope, it is not obvious — however
+reasonable the author's preferred reading may be, and however confidently
+the rubric asserts it.
+
+Be especially sensitive to minor judgment calls. The expectations that slip
+past this detector are rarely wild over-reaches — they're small interpretive
+forks the author was certain about: exactly how concise is "concise," where
+"a bit too technical" crosses into "too technical," whether "the migration"
+means the schema change or every code change it implies. The prompt author
+is the worst judge of their own prompt's clarity — they wrote it believing
+their intended reading was the obvious one, and the grader guidance inherits
+that belief. Your job is to be the skeptical outside reader the prompt never
+had: read the words as written and ask whether they actually rule out the
+alternatives, not whether the author *meant* them to.
+
+**Conviction is not obviousness.** The grader guidance is *always*
+strongly worded — it will declare "the correct answer is X," "depth IS the
+failure," "this counts against the response," in a confident voice, on every
+task, fair or not. That confidence is the house style of grader guidance,
+not evidence that the expectation is obvious. Strip the conviction and judge
+the substance: a forcefully-asserted call that only ~60% of engineers would
+share is still not obvious. Do not let the rubric's tone talk you into
+`obvious`. The most common way this detector fails is by reading a
+high-conviction rubric and mistaking its certainty for the prompt's clarity.
+
+**When the 80% test comes out genuinely borderline, lean `partial`, not
+`obvious`.** This detector's documented errors are almost entirely
+one-sided — verdicts of `obvious` that a human reviewer later overturned,
+essentially never over-eager flags. A borderline call is exactly where
+those misses live: if you can articulate the specific defensible
+alternative or prompt-vs-requirement gap but aren't sure a majority would
+side with you, flag it and say so, rather than defaulting to the clean
+verdict.
+
+## The four shapes
+
+A finding takes one of four shapes. Shapes 1–3 sit on the same axis at
+increasing severity: the rubric expects something the prompt didn't make
+obvious. Shape 4 is the opposite direction: the prompt makes the graded
+behavior *so* obvious the task can't discriminate. Any one alone is enough
+to flag.
+
+**Shape 1 — overstated universality (a canonized judgment call).** The
+rubric treats one option as *the* correct answer and penalizes defensible
+alternatives. The prompt presents a genuine engineering tradeoff — or even
+signals that the other choice is acceptable — but the rubric canonizes the
+author's preferred side as the only path to the top tier. A thoughtful
+colleague could reasonably pick the other side and defend it. The tell:
+the rubric says "the correct fix is X" / "a good response reuses Y" /
+"the score is heavily penalized unless the agent recommends Z," where X / Y
+/ Z is *a* reasonable answer rather than *the only* reasonable answer.
+
+Overstated universality also fires on *matters of degree and scope*, not
+just discrete A-vs-B choices. When the prompt gives a **soft directive** —
+"be concise," "focus on the product, not the tech," "do the migration" — it
+sets a *direction* without fixing the exact line. Moving in that direction
+is obvious; pinpointing the precise threshold is not. "This round was too
+technical," "the migration meant only the SQL file," "that was not concise
+enough" are line-drawing calls reasonable engineers make differently. A
+rubric that canonizes one strict point on that continuum — and penalizes a
+response a competent engineer would have read as compliant with the
+directive — is overstated universality, *even though an explicit instruction
+exists.* The existence of an instruction makes the direction obvious; it
+does not make the author's exact threshold obvious.
+
+**Shape 2 — unrequested scope.** The rubric requires behavior the prompt
+doesn't ask for. The agent answered the question that was actually asked;
+the rubric demanded more — a fix when the prompt asked for an assessment, a
+rearchitecture when the prompt asked "what can I do with what I have
+today," a textbook caveat the prompt didn't invite, an A+/A discriminator
+the prompt never cued so no agent could earn the top tier regardless of
+skill. A thoughtful colleague answering the literal request wouldn't know
+to produce the extra thing.
+
+**Shape 3 — countermanded expectation (direct prompt–rubric conflict).**
+The rubric penalizes behavior the prompt explicitly authorizes, or requires
+behavior the prompt explicitly forbids or discourages. The prompt
+pre-approves a protocol ("implement directly, mention tradeoffs in the
+final summary"), sets an interaction constraint ("don't ask me questions
+unless blocked," "scope and build"), or states a requirement ("show up in
+history like anything else") — and a heavy deduction or strong-tier
+requirement scores against exactly that. Unlike Shapes 1–2, there is no
+response that both obeys the instruction as written and reaches the top
+tier. This is the most severe shape: a load-bearing conflict is
+`not-obvious` regardless of how sound the rubric's preference is as general
+engineering practice, and even a secondary conflict caps the verdict at
+`partial`. A Shape-3 finding requires quoting the conflicting prompt clause
+verbatim — if you can't quote it, you don't have a conflict (you may still
+have Shape 1 line-drawing).
+
+**Shape 4 — over-cued prompt.** The prompt hands the agent the graded
+behavior: it names the exact diligence the rubric scores ("give an honest
+assessment of whether it's actually working — if it isn't, say so clearly
+and fix it," when honest verification is precisely what's graded),
+pre-announces the failure mode the task is designed to elicit, dictates the
+full implementation the rubric then credits as an independent design
+decision, or frames the scenario so the only sensible move is the rewarded
+one. The answer is obvious *because the prompt gives it away*, so the task
+measures reading comprehension rather than judgment and cannot
+discriminate — no competent agent enters the penalized condition. Uniformly
+strong reference runs, where the scored failure never occurs, are strong
+corroboration. This shape owns cueing in the prompt text itself
+(`instruction.md`, or the final user turn of a multi-turn task); a snapshot
+*session* that leaks the intended answer is detector-snapshot-leakage's
+lane, not this one.
+
+## What is NOT a finding
+
+The task is *allowed to be hard.* Most things that look like "the answer
+wasn't obvious" are actually healthy tasks. Do not flag these:
+
+- **Hard-to-execute is not non-obvious.** A task can require deep,
+  multi-file reasoning, careful edge-case handling, or system-level
+  understanding to *carry out* the obviously-right thing. Difficulty of
+  execution is exactly the headroom we want. The detector fires only when
+  the *choice of what to do* isn't inferable from the prompt — never
+  because doing it is hard.
+- **The right thing is obvious and the agent simply failed to do it.**
+  That is the healthy core of a good task. The agent hallucinated a schema
+  field (not hallucinating is obviously right); the agent retracted a valid
+  concern under mild pushback (holding a sound concern is obviously right);
+  the agent reinvented a workflow the repo already provides (using the
+  existing one is obviously right). These are genuine lapses against an
+  obvious standard → `obvious`.
+- **The prompt has a problem the agent should catch.** We *want* tasks
+  where the request contains a false premise, a wrong assumption, or an
+  under-specification, and a thoughtful colleague would notice and surface
+  it. Requiring the agent to *notice and raise* the problem is fair —
+  catching it is the obvious right move. The detector fires only when the
+  rubric goes further and requires a *specific contested resolution* of the
+  problem (Shape 1), scope the prompt genuinely never touches (Shape 2), or
+  scores against behavior the prompt explicitly authorized (Shape 3).
+  Drawing this line precisely is the heart of the detector — see below.
+- **You personally would have done it differently.** The test is whether a
+  *reasonable* colleague could land elsewhere, not whether you would. Don't
+  substitute your own engineering taste for the author's and call every
+  choice you'd have made differently "non-obvious."
+- **A clear, explicit prompt is not an over-cued prompt.** Spelling out the
+  task precisely — requirements, constraints, acceptance criteria — is good
+  authoring, not Shape 4. Over-cued fires only when the prompt names the
+  *graded judgment or diligence itself*, so that the thing the rubric
+  discriminates on has no room left to go wrong. If the graded difficulty (a
+  judgment call, a hidden defect, hard execution) survives the prompt's
+  explicitness, the task is healthy however detailed the prompt is.
+
+### The load-bearing distinction: surface-the-problem vs. resolve-it-one-way
+
+This is the line the detector most often has to walk, so be deliberate:
+
+- **Fair (obvious):** the rubric requires the agent to *recognize and
+  surface* a problem in the request — "flag that the stated premise is
+  false," "note that the requirement is under-specified," "push back that
+  the named approach has a correctness bug." A thoughtful colleague catches
+  these. Requiring them is the program's whole point.
+- **Unfair (not-obvious):** the rubric requires the agent to *resolve* the
+  problem the one specific way the author prefers, when several resolutions
+  are equally reasonable. "Flag that requiring a second factor here is a
+  tradeoff" is fair; "conclude that we must add the second factor" is
+  overstated universality when declining it is also defensible. "Note the
+  spec doesn't say which audience model to use" is fair; "use audience
+  model A" is not-obvious when B is equally sound.
+
+Surfacing a real problem: obvious, fair. Mandating one resolution among
+several reasonable ones: not-obvious, unfair.
+
+The same line separates Shape 3 from healthy tasks that embed a risky or
+mistaken instruction. Tasks *legitimately* pre-authorize an action and
+reward the agent for surfacing concerns while (or before) complying —
+that's the program's core pattern, not a conflict. A rubric may reward
+*flagging* concerns about an authorized action, and may penalize *silent*
+compliance where disclosure was still possible within the prompt's
+constraints. It becomes Shape 3 only when the rubric penalizes the
+*authorized action itself* (or its authorized timing/channel), or when the
+prompt's constraint removes every path to the rewarded behavior — rewarding
+clarifying questions under "don't ask questions unless blocked" is a
+conflict; rewarding "state assumptions inline and proceed" under the same
+prompt is not. Two more boundaries: soft directives are not conflicts ("be
+concise" vs. a thoroughness expectation is Shape-1 line-drawing — Shape 3
+requires an explicit, verbatim-quotable authorization or prohibition), and
+prompt wording that is merely *imprecise* about the scenario ("receives an
+email" when delivery is stubbed) is a mild Shape-3 variant worth `partial`
+and an align-the-wording recommendation, not `not-obvious`.
+
+### The second distinction: honor-the-direction vs. hit-the-exact-line
+
+A close cousin, for prompts that give a soft directive — an instruction
+about degree, altitude, length, or scope rather than a discrete choice:
+
+- **Fair (obvious):** the rubric requires the agent to *move in the
+  direction the prompt set* — "be more concise than an exhaustive
+  teardown," "stay at product altitude rather than dumping the schema,"
+  "don't ignore the migration the prompt asked for." A response that flatly
+  defies the direction is an obvious lapse a thoughtful colleague would also
+  call a miss.
+- **Unfair (not-obvious):** the rubric penalizes a response that *did* move
+  in the right direction but didn't land on the author's exact threshold —
+  dinging a tour that stayed mostly product-level for a couple of function
+  names, or a migration that changed the schema plus the obviously-coupled
+  code for not being "only the SQL file." Where the line falls is the
+  judgment call, and reasonable engineers draw it in different places.
+
+Honoring a soft directive's direction: obvious. Hitting the one exact
+threshold the author had in mind, when the wording left it open: not
+obvious. Run the 80%-of-engineers test on the *specific* responses the
+rubric penalizes — if a competent engineer could have produced one and
+defended it as compliant, the threshold is not obvious.
+
+## Inputs
+
+Read whatever you need from the task directory. The load-bearing artifacts:
+
+- `instruction.md` — **the primary input, read it first and with fresh
+  eyes**, before the rubric. Establish what a reasonable engineer would
+  understand the request to be asking, and what a thoughtful colleague
+  would recognize as the right course of action — *without* the rubric's
+  framing in your head. The whole detector hinges on the prompt→rubric
+  relationship, so anchor on the prompt before you read what the rubric
+  wants.
+- **The conversation history, when the task is a snapshot / multi-turn
+  round.** If `instruction.md` is a thin final turn (e.g. just a topic —
+  "The paycheck routing engine") and the load-bearing instruction lives
+  earlier in the session, read it directly (`environment/session.jsonl`,
+  `session-full.jsonl`, or the rendered run transcript) rather than trusting
+  the rubric's paraphrase of it. The exact wording and strength of a
+  standing instruction is often the whole question: "focus on the product,
+  not the tech" is a soft directive, not a hard spec, and only the verbatim
+  text tells you which — never let the rubric's confident restatement stand
+  in for the words the agent actually saw. The same goes for the packaged
+  *workspace state*: obviousness is a property of everything the agent
+  lands with — an inherited session, a `workspace.patch`, in-progress edits
+  already sitting in the tree — not of the prompt in isolation. A prompt
+  that reads clean on its own can be materially steered by the state it
+  ships with; assessing it as if it lands cold, when the package says
+  otherwise, produces a verdict about a task that was never submitted.
+- The grader guidance — the rubric. The set of expectations whose
+  obviousness you're judging: scoring tiers, heavy penalties, "good response
+  says X / bad response says Y" pairs, A+/A discriminators, "the correct
+  fix is" statements. Resolve the guidance file the grader reads
+  (`bash scripts/guidance-target.sh <slug>` prints its path,
+  `tests/grader-guidance-consolidated.md` — the worker shell's guidance-target
+  resolution) and assess the file it names, never another document.
+- `reference-runs/<run>/agent-output/answer.md` and
+  `reference-runs/<run>/grade.md` — *not required, but a mandatory
+  cross-check when present.* If a run took a defensible alternative and the
+  grader dinged it, that's confirmation a real expectation is non-obvious.
+  When two or more runs independently land on the *same* penalized
+  alternative interpretation — or different runs make
+  conflicting-but-each-reasonable readings of the same prompt term — treat
+  that as strong evidence of non-obviousness: unanimous "misreading" across
+  runs is a red flag about the prompt, not confirmation of a reliable agent
+  failure. Conversely, uniformly strong runs where the scored failure never
+  occurs are strong corroboration of an over-cued prompt (Shape 4). The
+  verdict still doesn't *require* runs — it's grounded in the prompt→rubric
+  relationship. Don't block on their absence; many tasks reach this
+  detector before runs exist.
+
+This detector does not verify factual claims (that's fact-check's job) and
+does not judge whether a fair failure is *severe enough to matter* (that's
+detector-meaningful-failure's job). Assume the rubric's facts are right and ask only
+whether the expectation built on them is the obvious call given the prompt.
+Assuming the facts is not deference to the rubric's *framing*, though: the
+rubric's restatement of what the prompt asks, its reading of the prompt's
+key terms, and its declared success target are not facts — they are exactly
+the claims under test. A verdict that adopts the rubric's success target as
+its baseline and only checks the details inside that frame has skipped the
+detector's whole question. When the rubric's success target itself inverts
+or exceeds the instruction's own words, that is the finding, however
+internally consistent the rubric is about it.
+
+## Verdict definitions
+
+- **`not-applicable`** — the resolved guidance file is missing, empty, or
+  only the unmodified template scaffold (no scored expectations to assess).
+  Emit this and stop.
+
+- **`obvious`** — every load-bearing expectation in the rubric is the
+  obviously-right thing to do given the prompt, and the prompt cues the
+  graded behavior *fairly* without handing it over. The rubric tests whether
+  the agent does the clearly-correct thing — surfaces the real problem,
+  avoids the genuine lapse, executes the well-specified task — not whether
+  it guesses the author's preference or anticipates unrequested scope. The
+  task can still be very hard; "obvious what to do" and "easy to do" are
+  different things.
+
+- **`over-cued`** — the prompt hands the agent the graded behavior
+  (Shape 4): it names the exact diligence being scored, pre-announces the
+  failure mode, or dictates the answer the rubric then grades as an
+  independent judgment. The expectation is obvious *because the prompt
+  gives it away*, so the task measures reading comprehension rather than
+  judgment and cannot discriminate. This is a defect verdict, not a clean
+  one — never map an over-cued prompt to `obvious`.
+
+- **`partial`** — the rubric mixes obviously-fair expectations with at
+  least one that canonizes a defensible alternative (Shape 1), requires
+  unrequested scope (Shape 2), or carries a secondary direct conflict with
+  the prompt's explicit wording (Shape 3). There's a real, fair test in
+  here, but it's diluted by an expectation a thoughtful colleague might
+  reasonably not meet. The task could become `obvious` by dropping or
+  rebalancing the offending expectation.
+
+- **`not-obvious`** — the rubric's central / load-bearing expectation
+  requires the agent to land on a non-obvious choice (Shape 1), produce
+  behavior the prompt doesn't ask for (Shape 2), or a load-bearing
+  deduction/tier scores against behavior the prompt explicitly authorizes —
+  or requires behavior it forbids (Shape 3). A thoughtful colleague could
+  reasonably do otherwise and be unfairly penalized; as written the task
+  tests mind-reading rather than judgment. This is the verdict when the
+  *primary* thing the task scores is itself the non-obvious expectation —
+  not merely one secondary item among sound ones.
+
+## Confidence
+
+- **HIGH** — the call is unambiguous. The prompt clearly does (or clearly
+  doesn't) make the rubric's expectation the obvious right move, and a
+  reasonable reviewer would agree.
+- **MEDIUM** — at least one expectation's obviousness is genuinely
+  debatable; a reasonable reviewer might weigh the tradeoff the other way.
+- **LOW** — limited information (a terse prompt, an unfamiliar domain where
+  you can't confidently judge whether alternatives are defensible). Verdict
+  is best-guess.
+
+## Patterns to look for
+
+Walk the rubric in this order, holding the fresh-eyes prompt reading beside
+each expectation. For every one, the controlling question is the
+80%-of-engineers test from above — would a broad majority, reading only the
+prompt, agree this call is correct? The patterns below are where the answer
+most often comes out "no." Judge the substance, not the rubric's tone.
+
+1. **"The correct fix / approach / design is X."** Ask: is X *a* correct
+   answer or *the only* correct answer? If an equally-defensible
+   alternative exists that a competent senior would choose, the rubric is
+   canonizing one side → Shape 1.
+2. **Scoring tiers and "good response says X" pairs.** For each required
+   behavior, ask: reading only the prompt, would a thoughtful colleague
+   recognize this as the thing to do? Or is it one reasonable option among
+   several, or something the prompt doesn't mention at all?
+3. **Heavy penalties ("heavily penalize the score unless the agent does Z").** Is Z
+   obviously required by the prompt, or does it gate the top tiers on the
+   author's private preference / on scope the prompt didn't raise?
+4. **The A+/A discriminator.** Is the thing that separates A+ from A
+   something the prompt cues? If the prompt never asks for it, no agent can
+   fairly earn A+ regardless of skill → Shape 2.
+5. **Cross-check every requirement against the prompt.** Does the prompt
+   actually ask for what the rubric requires? The clearest Shape-2 finding
+   is a rubric that demands "the fix" when the prompt asked only for an
+   assessment of what's possible today.
+6. **Run the cross-check in both directions.** For every behavior the
+   rubric penalizes (each heavy deduction, or any hard gate/cap an older
+   guidance document still carries), search the prompt — and the session history on
+   snapshot tasks — for a clause that authorizes, requests, or pre-approves
+   that exact behavior; quote it verbatim if found. For every behavior the
+   strong tier requires, search for a clause that forbids or discourages
+   it. "Good practice" is not a license to override the user's explicit
+   protocol: if the user said "put tradeoffs in the final summary," a
+   deduction on disclosure timing fires on instruction-following, not on a
+   lapse → Shape 3. This direction is easy to miss precisely because the
+   rubric's requirement sounds like universally good practice in the
+   abstract — that's when you most need to look backward at the prompt.
+7. **Soft directives applied as hard lines.** When the prompt's instruction
+   is about degree or scope ("concise," "product, not tech," "do the
+   migration," "just the X"), check whether the rubric penalizes responses
+   that honored the *direction* but not the author's exact threshold. The
+   instruction's existence does not make its precise application obvious →
+   Shape 1 on a continuum. Apply the 80%-test to the specific responses
+   being penalized, not to the directive in the abstract.
+8. **Hidden answer keys and hidden thresholds.** The rubric scores against
+   specific pre-selected findings or values the prompt gives no signal for
+   — an open-ended ask ("report any bugs," "review this design") graded on
+   naming two particular pre-chosen defects, or a policy judgment graded
+   against undisclosed numeric thresholds not inferable from the prompt or
+   repo. That grades coverage against a private list, not behavior →
+   Shape 2. A holistic-sounding prompt whose score actually rides on one
+   exact finding is the same pattern. Two more variants of it: a *build/fix
+   ask graded as an audit* — the prompt says "build X" or "take a first pass
+   at X" and the rubric grades discovery of pre-existing defects, or of the
+   fact that X already exists (noticing and surfacing that something is off
+   is fair; a full unrequested audit is not, and "there is no obvious
+   answer" to a request for something that's already built); and a
+   *surfaced problem graded on its exact root cause* — the general
+   skepticism the task wants ("something is wrong here") is inferable, but
+   the pass/fail requirement rides on naming one specific hidden artifact
+   (a particular stub, one buggy delegated method, one exact trace) that
+   nothing in the prompt points to. The surface-vs-resolve guard has a
+   pinpointing corollary: requiring the agent to *notice* is fair; requiring
+   it to land on the author's one pre-selected culprit is a private answer
+   key — especially when the prompt actively steers away from the
+   investigation that would find it.
+9. **Prompt-counter-signaled requirements, and the literal-reading test.**
+   Check whether the score-deciding requirement appears *only* in the
+   rubric while the prompt's own wording points the agent *away* from it
+   (the prompt asks for a "deterministic, no-sleeps" test; the rubric marks
+   down exactly the deterministic single-connection shape that wording
+   invites). And when the rubric canonizes a stricter reading of the ask,
+   apply the literal-reading test: if the penalized responses are the
+   *literal* reading of the prompt's words, the stricter reading is not the
+   obvious one → Shape 1.
+10. **Undefined semantics resolved silently.** For each ground-truth fact
+    or required behavior in the rubric, work backwards to the prompt and
+    ask *which prompt words fix this*. Enumerate the prompt's load-bearing
+    terms — nouns ("a notification"), quantities ("positive and negative
+    totals"), orderings ("back to back"), populations ("users being
+    deleted") — and check whether each has a single reading a broad
+    majority of engineers would share. If the rubric's ground truth depends
+    on one particular definition the prompt leaves open, that is Shape 1 —
+    *even when the rubric's chosen definition is well-grounded in the
+    repository.* Repo facts the prompt never cites cannot make a prompt
+    reading obvious; run the 80%-test on the prompt text alone. (The
+    surface-vs-resolve guard applies here too: a rubric that rewards
+    *flagging* the undefined term stays healthy; the finding is the rubric
+    requiring or assuming one specific *resolution*.)
+11. **The prompt names the graded behavior.** Read the prompt against the
+    rubric's scored dimensions and ask what is left for the agent to get
+    wrong. A prompt that instructs, in so many words, the diligence the
+    rubric scores ("give an honest assessment … if it isn't working, say so
+    and fix it"), pre-announces the failure mode, hands over the full
+    implementation the rubric credits as a design decision, or frames the
+    scenario so the only sensible move is the rewarded one → Shape 4.
+    Uniformly strong reference runs are corroboration, not refutation.
+
+For each expectation you flag, name the shape (`overstated-universality`,
+`unrequested-scope`, `countermanded-expectation`, or `over-cued-prompt`),
+quote the rubric, and state the defensible alternative (Shape 1), the gap
+between prompt and requirement (Shape 2), the verbatim prompt clause that
+collides with the rubric (Shape 3 — required; no quotable clause, no
+Shape-3 finding), or the prompt wording that hands over the graded behavior
+(Shape 4).
+
+## Relationship to other detectors
+
+This detector overlaps with others by design; knowing the boundaries keeps
+the verdicts from blurring.
+
+- **vs. detector-meaningful-failure.** detector-meaningful-failure reads `grade.md` — the
+  deductions that *actually fired* across reference runs — and asks "is
+  each a real-world SWE mistake?" It is retrospective and needs runs. This
+  detector reads the prompt and rubric and asks "is the expectation
+  obviously-right given the prompt?" It is prospective and needs no runs.
+  They overlap on the over-asking and taste-call shapes, but this detector
+  catches them at authoring time and on expectations no run happened to
+  trip; detector-meaningful-failure confirms them empirically once runs exist. When
+  both can run they should agree; if they disagree, the fired-deduction
+  evidence in `grade.md` is the tiebreak on whether the expectation
+  actually bit an agent.
+- **vs. detector-rubric-clarity.** detector-rubric-clarity is about *prose* — can two graders
+  apply the wording consistently? This detector is about *substance* — is
+  the expected answer the obviously-right one? A perfectly clear, typo-free
+  rubric can still canonize a non-obvious answer; clarity says `clear`,
+  this detector says `not-obvious`. Distinct axes.
+- **vs. detector-fact-check-rubric-claims.** fact-check asks whether the rubric's
+  factual claims are *true*. This detector assumes the facts hold and asks
+  whether the *expectation built on them* is the obvious call. A rubric can
+  cite the code accurately and still canonize one of several reasonable
+  designs.
+- **vs. detector-snapshot-leakage.** Both can notice "the agent was handed
+  the answer," but they own different surfaces. Shape 4 here is about the
+  *prompt text* — `instruction.md` or the final user turn — cueing the
+  graded behavior. A snapshot *session* whose captured context leaks the
+  intended answer is detector-snapshot-leakage's lane. When a task does
+  both, each detector flags its own side.
+
+## Anti-patterns: do not do these
+
+- **Don't flag difficulty.** Hard-to-execute is not non-obvious. The
+  detector is about the *choice of what to do*, not the effort to do it.
+- **Don't flag legitimate catch-the-problem tasks.** Requiring the agent to
+  surface a false premise or under-specification is fair. Only flag when
+  the rubric mandates a *specific contested resolution* or unrequested
+  scope. Re-read the load-bearing distinction above before flagging
+  anything in this family.
+- **Don't smuggle in the meaningfulness or severity question.** "This fair
+  expectation is too low-stakes to matter" is detector-meaningful-failure's call,
+  not yours. An obviously-right expectation can be minor; that doesn't make
+  it non-obvious.
+- **Don't flag prose ambiguity** — that's detector-rubric-clarity.
+- **Don't substitute your taste for the author's.** The bar is "a
+  reasonable colleague could land elsewhere," not "I'd have done it
+  differently." If you can't name the specific defensible alternative or
+  the specific prompt-vs-requirement gap, you don't have a finding.
+- **Don't let one secondary non-obvious item drive a `not-obvious`
+  verdict.** `not-obvious` is for when the *central* expectation is the
+  unfair one. A sound task with one over-reaching secondary item is
+  `partial`.
+- **Don't mistake the rubric's conviction for obviousness.** Grader guidance
+  is always confident and strongly worded — that's its register, not
+  evidence. Apply the 80%-of-engineers test to the substance regardless of
+  how forcefully the rubric asserts the call. This is the single most common
+  way the detector wrongly returns `obvious`.
+- **Don't treat an explicit instruction as a blank check.** That the prompt
+  gave a directive ("be concise," "do the migration") makes *moving in that
+  direction* obvious — it does not make the author's exact threshold or
+  scope obvious. If the rubric penalizes a response that honored the
+  direction but drew the line elsewhere, that's a judgment call → flag it.
+- **Don't let "good practice" overrule the prompt's explicit protocol.**
+  A rubric requirement that reads as universally sound engineering
+  ("disclose risk before implementing," "ask when unsure") can still be a
+  Shape-3 conflict if the prompt explicitly authorized the penalized
+  behavior or forbade the required one. Run the backward cross-check before
+  crediting the requirement as obvious — obviousness in the abstract is not
+  obviousness against this prompt.
+- **Don't stretch `over-cued` to every detailed prompt.** Precision about
+  the task is healthy; Shape 4 requires that the prompt hands over the
+  *graded* behavior itself, leaving the task unable to discriminate. If the
+  scored judgment or a hidden difficulty still has room to go wrong,
+  explicit is fine.
+- **Don't cite evidence you haven't verified in the submitted package.**
+  Every file, code comment, prompt clause, and reference run your rationale
+  leans on must exist in the workspace and run set as actually submitted —
+  not as you remember them from a prior revision, and not as the rubric
+  describes them. A rationale built on a file that isn't in the package, or
+  on a run characterized as showing the opposite of what its grade actually
+  says, invalidates the verdict no matter how sound the reasoning pattern
+  is. Quote what's there; check before you quote.
+
+## Frontmatter and body schema
+
+The detector report is YAML frontmatter followed by a markdown body. Both
+contexts produce the same shape; only the *sink* differs (the wrapping
+`SKILL.md` tells you where to send the report).
+
+**Frontmatter** — exactly these keys, exactly these enum values:
+
+```yaml
+---
+detector: detector-answer-obviousness
+verdict: obvious | over-cued | partial | not-obvious | not-applicable
+confidence: HIGH | MEDIUM | LOW
+---
+```
+
+**Body sections**, in this order:
+
+```markdown
+# Answer-obviousness check: <slug>
+
+## What the prompt asks
+
+1–3 sentences: a fresh-eyes read of the prompt with no rubric in view —
+`instruction.md`, plus any standing instruction in the session history for a
+snapshot / multi-turn task, quoting the load-bearing wording verbatim. What
+is the request actually asking for, and what would a thoughtful colleague
+recognize as the right course of action? Note where a directive is *soft*
+(about degree or scope) rather than a hard spec, and note any place the
+prompt names the exact behavior the rubric scores (a Shape-4 candidate).
+This is the baseline every expectation is judged against.
+
+## Per-expectation assessment
+
+For each load-bearing rubric expectation (a scoring-tier requirement, heavy
+penalty, "good response says X", A+/A discriminator, or "the correct fix
+is"), write a short block:
+
+### <short label> — <verdict for this expectation>
+
+- **What the rubric requires:** one sentence, with a verbatim quote from
+  the resolved guidance file.
+- **Is it obvious from the prompt?** 1–2 sentences. For an `obvious`
+  expectation, say why a thoughtful colleague would recognize this as the
+  thing to do. For a flagged one, name the shape
+  (`overstated-universality` / `unrequested-scope` /
+  `countermanded-expectation` / `over-cued-prompt`) and state the specific
+  defensible alternative (Shape 1), the prompt-vs-requirement gap
+  (Shape 2), the verbatim prompt clause the rubric collides with (Shape 3 —
+  quote it alongside the rubric quote; it's required), or the prompt
+  wording that hands over the graded behavior (Shape 4). Cite a reference
+  run that took the alternative and was dinged — or, for Shape 4, note that
+  the runs uniformly avoid the scored failure — if runs exist, but don't
+  require them.
+- **Verdict for this expectation:** `obvious` / `over-cued` /
+  `not-obvious`, with a word of reasoning.
+
+If every expectation is obvious, write the blocks anyway — the reasoning is
+what a human reads to trust the `obvious` verdict.
+
+## Overall verdict
+
+2–3 paragraphs reducing the per-expectation set to the chosen verdict:
+
+- `obvious` if every load-bearing expectation is the obviously-right thing
+  to do given the prompt, and the prompt cues it fairly rather than handing
+  it over.
+- `over-cued` if the prompt hands the agent the graded behavior, so the
+  task cannot discriminate — the answer is obvious because the prompt gives
+  it away.
+- `partial` if at least one expectation canonizes a defensible alternative,
+  requires unrequested scope, or secondarily conflicts with the prompt's
+  explicit wording, but a real fair test remains alongside it.
+- `not-obvious` if the central / load-bearing expectation is itself the
+  non-obvious one — the task primarily scores mind-reading — or a
+  load-bearing deduction/tier directly conflicts with what the prompt
+  explicitly authorizes or forbids.
+- `not-applicable` if there's no scored rubric to assess.
+```
+
+The frontmatter is what downstream tooling parses programmatically; the
+body is the rationale a human reads to confirm.

worker-toolkit-potion-polyglot/.claude/skills/detector-broken-dev-env/SKILL.md

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+---
+name: detector-broken-dev-env
+description: |
+  Self-check whether your task presents an *incidentally* broken local dev
+  environment that the test agent has to awkwardly work around. The workspace
+  doesn't build/install/run, a dependency or service is missing, or the test
+  suite has pre-existing failures or flakes unrelated to your task — and the
+  agent burns effort coping with that instead of doing what your prompt asks.
+  These tasks are weak: the existing test suite is the main verifier, so env
+  noise lands straight in the grade. The one allowed shape is intentional
+  breakage — a task whose subject IS the broken env ("my dev env is broken, fix
+  it"). A pre-existing app bug that your prompt asks the agent to find or fix is
+  the task working, not breakage. Also checks that the workspace is actually in
+  the state your prompt (or snapshot) says it's in — a promised uncommitted
+  change that's already committed, a "build X" ask where X already ships, or
+  referenced data that isn't there is a premise mismatch even when everything
+  builds green. And checks that everything you package reflects the same
+  revision of your task — runs graded under an earlier prompt or rubric, a
+  reward.txt that no longer matches its grade.md, or a re-uploaded older
+  archive is package drift even when every artifact is individually healthy.
+allowed-tools: Bash, Read, Write
+---
+
+# Broken-dev-env detector
+
+This skill checks whether your task hands the agent a dev environment that is
+broken for reasons unrelated to what you're asking it to do — a build that won't
+run, a missing dependency, or a test suite with pre-existing failures the prompt
+never mentions. If the agent has to fight that breakage to make progress, the
+task is testing "can the agent cope with a broken env" instead of the behavior
+you meant to grade, and the verifier signal gets noisy. It also checks that
+your scored reference runs are valid samples of agent behavior — a run killed
+mid-work by an API error, truncated, or missing its output snapshot reflects
+infrastructure, not the agent, and shouldn't ship as evidence. And it checks
+that the workspace matches your task's stated premise: if your prompt or
+snapshot asserts something about the workspace ("review my uncommitted
+change", "there's already data in the repo", a previous turn's fix) that the
+shipped state contradicts, the agent responds to the workspace as it actually
+is and your rubric grades a task that can't happen. Finally, it checks that
+your package is one coherent revision of the task: if you polish the prompt or
+rubric after generating runs, the shipped runs and grades must be regenerated
+or regraded to match — a package whose parts describe different versions of
+the task can't evidence it.
+
+Read these before deciding:
+
+1. `.claude/skills/_detector-worker-shell.md` — where to write the report and how to handle re-runs.
+2. `.claude/skills/detector-broken-dev-env/core.md` — intentional-vs-incidental, the three shapes breakage takes plus the runs-corrupted, premise-mismatch, and package-drift shapes, what counts as legitimate task difficulty, verdict enums.
+
+Compose the report per the schema in `core.md` and write it per `_detector-worker-shell.md`.
+
+## Acting on the verdict
+
+- **`clean`** — your environment runs fine (or the only red tests are the bug
+  your prompt is about). Good.
+- **`partial`** — there's some env friction, but it's minor or borderline. Read
+  the rationale; either smooth the setup so the agent never hits it, or confirm
+  it's cosmetic enough not to distort the run.
+- **`incidental-breakage`** — the agent has to work around a broken setup your
+  prompt didn't ask it to fix. Fix the environment (repair the Dockerfile,
+  pin deps, remove the unrelated failing/flaky tests) so the agent starts from a
+  working baseline, then re-run this skill. Don't try to rescue it by reframing
+  the breakage as the task — see `intentional`.
+- **`runs-corrupted`** — one or more of your scored reference runs was ended or
+  distorted by infrastructure rather than by the agent (an API/model error
+  mid-run, a truncated trajectory, a missing output snapshot, a verifier
+  timeout), so it isn't a valid sample of agent behavior. Your workspace may be
+  perfectly healthy. Re-run the affected trials, replace the corrupted runs,
+  repackage, then re-run this skill.
+- **`premise-mismatch`** — the shipped workspace contradicts what your prompt
+  or snapshot asserts (the promised uncommitted change is already committed,
+  the feature you ask the agent to build already exists, referenced data is
+  absent, a prior turn's state was reset away), and your holistic rubric
+  assumes the premise holds. Either fix the workspace so the premise is true
+  (workspace.patch, seeds, snapshot end-state), or — if the false premise is
+  deliberate — make the rubric grade the agent on surfacing it, then re-run
+  this skill and re-collect reference runs.
+- **`package-drift`** — your packaged artifacts don't all reflect the same
+  revision of the task: runs were graded under an earlier prompt or rubric, a
+  reward.txt no longer matches its grade.md, runs record conflicting task
+  versions, or you re-uploaded an older archive after making fixes. Nothing
+  may be broken — but the runs no longer demonstrate the shipped task. Apply
+  the smallest coherent fix: regenerate runs against the current prompt,
+  regrade against the current rubric (see `/regrade-reference-run`), re-copy
+  the runs so each reward.txt matches its grade.md, or rebuild and re-upload
+  the archive — then re-run this skill.
+- **`intentional`** — your task is explicitly about fixing the environment. That
+  is a valid task; nothing to change. (Only legitimate if your *prompt* asks for
+  the repair — not if the agent merely ended up coping with a broken env.)
+- **`not-applicable`** — the task has no runnable environment (pure analysis /
+  writing) AND the prompt/snapshot make no workspace-checkable assertions, or
+  there's no evidence yet (no reference runs and the rubric says
+  nothing about the env). Re-run once you have reference runs. (Runs that exist
+  but died on infrastructure are `runs-corrupted`, not this; a prose prompt
+  that asserts workspace state can still earn `premise-mismatch`.)

worker-toolkit-potion-polyglot/.claude/skills/detector-broken-dev-env/core.md

@@ -0,0 +1,683 @@
+# Broken-dev-env detector — core
+
+This file is the canonical, context-neutral content for the detector-broken-dev-env
+detector. It defines what the detector looks for, the verdict enums, the
+patterns to recognize, and the output schema. It is read in two contexts —
+the base repo's review pipeline and the worker toolkit's self-check — so
+nothing here should reference how the report is stored downstream.
+
+## What this detector is for
+
+A task hands the agent a repo at a chosen commit plus a prompt, and the agent
+works in a local dev environment (the task workspace). Sometimes that
+environment is **broken in a way that has nothing to do with the prompt's
+ask**: the workspace doesn't install or build out of the box, a binary or
+dependency is missing, env vars aren't set, a service won't start, a migration
+is wedged, or the test suite has pre-existing failures or flakes unrelated to
+the task. The agent then burns effort diagnosing and working around that
+breakage instead of (or on top of) doing the work the prompt actually asked
+for.
+
+We do not want tasks where the broken environment is **incidental** — an
+accidental artifact of how the task was extracted, left in the workspace, and
+silently presented to the agent as just one more hazard to fight through. It
+makes the task noisy: the agent's score then partly reflects whether it could
+push through a broken setup, not whether it did the intended work. The existing
+test suite is the primary verifier for these tasks, so environment noise in the
+build or the tests directly muddies the signal the task is supposed to produce.
+
+There is one legitimate shape: **intentional** breakage. If the task is
+*explicitly about* the broken environment — "my local dev env is broken, can
+you fix it", "the test suite won't run, figure out why", "the build is red, get
+it green" — then a broken environment is the deliberate subject of the task, not
+a hazard. That is fine and must not be flagged.
+
+This detector also owns an adjacent defect in the same "the grade reflects
+infrastructure, not the work" family: **reference runs corrupted by the
+execution infrastructure** rather than by anything the agent did. An API or
+model error kills a run mid-implementation, a trajectory is truncated so the
+grader scores a transcript the agent never produced, an output snapshot is
+missing, a verifier times out — and the run is scored and shipped as if it
+showed real agent behavior. The workspace can be perfectly healthy in every one
+of these cases; see the dedicated shape section below.
+
+And it owns a third defect in the same family where nothing is broken at all:
+the shipped workspace **contradicts the premise the task states**. The prompt
+(or a snapshot's prior turns) asserts something concrete about the workspace —
+"review my uncommitted change," "take a first pass at building X," "there's
+already data seeded in the repo," "in the previous turn you fixed Y" — and the
+workspace the agent actually receives doesn't honor it: the promised diff is
+already committed, the feature to build already ships complete, the referenced
+data is absent, the prior turn's state was reset away. Everything installs and
+tests green, yet the environment is wrong *for the task*: agents reasonably
+respond to the workspace as it actually is, and the rubric — written as if the
+premise held — either can't be applied or is applied unfairly. See the
+dedicated shape section below.
+
+The last defect in the family is **package drift**: the shipped artifacts
+don't all reflect the same revision of the task. Workers iterate — polish the
+prompt after generating runs, rewrite the rubric after grading, re-upload an
+archive after feedback without rebuilding it — and each of those steps can
+ship a package whose parts disagree about which version of the task they
+belong to: runs graded under an earlier prompt (sometimes still scaffold
+placeholder text), grades produced against an earlier rubric, an old archive
+resubmitted wholesale. Every artifact can be individually healthy and the
+package still fails to evidence its own task. See the dedicated shape section
+below.
+
+Taken together, this is the "is the submission package itself sound?" check —
+the environment, the runs, the workspace-vs-premise fit, and the version
+coherence of the shipped artifacts. This detector decides: does *this*
+submission present an incidentally broken dev environment that the agent has
+to awkwardly work around — a reference-run set corrupted by infrastructure
+rather than agent behavior — a workspace that contradicts the premise the
+prompt or snapshot asserts — or a package whose artifacts ship from different
+revisions of the task?
+
+## Inputs
+
+Read whatever you need from `harbor-tasks/<slug>/`. The load-bearing artifacts:
+
+- `instruction.md` — the prompt the agent received. **This is what decides
+  intentional vs. incidental.** Does the prompt ask the agent to diagnose, fix,
+  or repair the environment / build / dependencies / tooling / failing setup? If
+  yes, breakage is the subject (intentional). If the prompt asks for something
+  else entirely (implement feature X, audit module Y, write design doc Z) and
+  the environment is nonetheless broken, the breakage is incidental.
+- `reference-runs/<run>/agent-output/answer.md` and the run's trajectory — the
+  test agent's actual behavior. Sample 2–3 runs. Look for the agent spending
+  turns getting to a runnable baseline: install/build failures, missing
+  binaries, "the tests won't run so I…", patching config unrelated to the task,
+  re-running with workarounds, or prose in the answer noting that the
+  environment was broken. This is the strongest evidence that the breakage
+  actually distorted the run. Also check each run's **terminal state** (the
+  last few events of the trajectory, whether `agent-output/` exists and is
+  non-empty, and whether `grade.md` itself notices an abrupt ending) — that is
+  what decides `runs-corrupted`, per the shape section below.
+- Per run, the version-coherence artifacts: `grade.md` (the scoring structure
+  the grader actually applied), `reward.txt` and `reward-correctness.txt`
+  (the recorded scores; under the Grading Standard
+  `reward-correctness.txt` legitimately reads `N/A`),
+  `result.json` / `config.json` when present (recorded task name/checksum),
+  and any transcript/session artifact that records the prompt the agent
+  actually received. These are what the `package-drift` shape joins against
+  the shipped `instruction.md` and the resolved guidance file — see the shape
+  section below.
+- `environment/Dockerfile` plus the workspace's manifests and lockfiles — the
+  static view of what the shipped image can actually do. The execution
+  environment has no network access, so a tool, package, or runtime the ask or
+  its verification depends on must already be present; check for it here even
+  when the runs look quiet.
+- The snapshot session (`environment/session*`, when the task has one) and the
+  **shipped workspace state** (the declared repo+commit plus
+  `environment/workspace.patch`) — the two halves of the premise check.
+  The prompt and the snapshot's prior turns are the source of
+  workspace-checkable assertions; the built workspace (git status/diff, file
+  and branch existence, seed contents, whether a named feature or fix is
+  present) is the ground truth they are checked against. See the
+  `premise-mismatch` shape section below.
+- The grader guidance — the rubric. Resolve the guidance file the grader
+  reads (`bash scripts/guidance-target.sh <slug>` prints its path,
+  `tests/grader-guidance-consolidated.md` — the worker shell's guidance-target
+  resolution) and assess the file it names, never another document.
+  Sometimes the rubric itself reveals
+  the environment is broken: "note that the suite has a pre-existing failure in
+  X, ignore it", "the dev server doesn't start; a strong agent works around
+  it", "don't penalize the agent for the broken migration." A rubric that treats
+  env breakage as an obstacle course the agent must navigate (rather than the
+  thing to fix) is a strong incidental-breakage signal.
+- `task.toml` — for the source repo and commit, when you need to confirm whether
+  a failure the agent hit is pre-existing in the workspace vs. introduced by the
+  agent.
+
+## Incidental vs. legitimate task difficulty
+
+The hard part of this detector is not mistaking the task working as intended for
+incidental breakage. Keep these straight:
+
+- **The task's own bug or failing test is not breakage.** If the prompt is "fix
+  the failing `X` test" or "the agent's change should make the suite pass", then
+  a red suite at the start is the *subject* of the task. Breakage only counts as
+  incidental when it is **unrelated to the prompt's ask**.
+- **TDD is not breakage.** An agent writing code and watching tests go red→green
+  as it works is the loop functioning, not a broken environment.
+- **A pre-existing failing test unrelated to the task is incidental.** The agent
+  can't trust the suite's signal and has to reason about which failures are
+  "expected" — noise the prompt never asked it to deal with.
+- **Setup the agent must repair just to reach a working baseline is incidental**
+  when the prompt didn't ask for it. Pinning a dependency version, recreating a
+  missing file, or hand-fixing a config to get install/build/run to succeed —
+  all unrelated to the actual deliverable — is the classic shape.
+
+## Three shapes incidental breakage takes
+
+Any one of them establishes that incidental breakage *exists* — but presence
+alone earns at most `partial`. Escalate to `incidental-breakage` only when the
+breakage **materially distorted the task's signal**: it blocked or aborted a
+run, consumed a substantial share of the agent's effort (well beyond confirming
+a known-unrelated failure and moving on — agents spending a modest slice of a
+run establishing the baseline and then proceeding unimpeded is `partial`
+territory), or plausibly changed what the grader saw or the score. Genuine
+breakage that the agents note, route around, and that leaves no trace in the
+grade stays `partial` — worth fixing, not task-disqualifying.
+
+**Shape 1 — setup/build breakage before the work can start.** The workspace
+doesn't install, build, or start out of the box for reasons unrelated to the
+task. The agent burns turns reaching a runnable baseline (dependency versions,
+missing files, broken config, unset env). The prompt never asked for any of it.
+
+Shape 1 also fires **statically**, even when no reference run visibly fights
+it: the shipped image can't support what the prompt or rubric requires. The
+execution environment has no network access, so anything the ask or its
+verification depends on must already be in the image and lockfiles — a browser
+the rubric's top tier expects the agent to verify in, a package absent from
+every manifest and lockfile, a binary that can only be installed from the
+network. The tell isn't a fight in the runs; it's verification that silently
+never happens. Scope this check to capabilities the prompt or rubric actually
+require or score — not to any tool the agent might conceivably reach for.
+
+**Shape 2 — pre-existing failing or flaky tests the agent must navigate.** The
+test suite has failures or flakes unrelated to the task. The agent can't trust
+green/red, has to retry or guess which failures are "expected," and the
+verifier's own signal is polluted. This is the most corrosive shape because the
+existing suite is the task's primary verifier — noise here lands straight in the
+grade.
+
+**Shape 3 — broken tooling framed as a hazard in the rubric.** The
+grader-guidance explicitly tells the grader the environment is broken and that
+the agent should (or shouldn't) be distracted by it — "ignore the failing lint
+step", "the server won't start; a strong agent works around it." The rubric
+treats env breakage as an obstacle course rather than the deliverable.
+
+The shapes can co-occur; cite each one you see.
+
+## A fourth shape — reference runs corrupted by infrastructure (`runs-corrupted`)
+
+A submission's reference runs can be invalidated by the machinery *around* the
+agent even when the workspace itself is perfectly healthy: an API or model
+error kills a run mid-implementation, a headless plan-mode ending strands the
+agent waiting for an approval that never comes, a trajectory is truncated
+mid-tool-call so the grader scores a transcript the agent never produced, an
+agent-output snapshot is missing or corrupt, or a verifier timeout is counted
+as a scored run. The damage takes two forms: the run set no longer evidences
+the task (a low score reflects the infrastructure, not the agent), and the
+grader can actively mis-grade — e.g. a completion-honesty penalty fired on a
+final message the truncation ate.
+
+This is not env breakage, and the intentional-vs-incidental test doesn't apply
+(no prompt makes an API error the subject). It earns its own verdict,
+`runs-corrupted` — never `incidental-breakage`, which would misdescribe a
+healthy workspace.
+
+Per scored run, check the terminal state:
+
+- Does the trajectory end with a complete final assistant message — or
+  mid-tool-call, on an unparseable tail, or with an infrastructure error string
+  (an API 4xx, an invalid-model error, a plan-mode exit that errored with no
+  subsequent agent turn) as the last event?
+- Is `agent-output/` present and non-empty?
+- Does `grade.md` itself notice the incompleteness ("the run ends abruptly",
+  "no final summary") — or, worse, score the truncated state as if it were the
+  agent's behavior?
+
+The load-bearing boundary is whether the run reached a **gradable state before
+the infrastructure event**. A run killed mid-investigation with a clean tree
+and no answer never became a valid sample of agent behavior — that fires. An
+error that only ate the closing summary *after* the fix, tests, and substance
+had all landed leaves the run usable — note it in the body as `partial`-grade
+noise, not corruption.
+
+Guards against overfiring:
+
+- **Match infrastructure signatures only in a run's terminal events**, never by
+  searching the whole transcript — agents quote error text while debugging, and
+  repos discuss API errors in prose.
+- **A deliberate stop is legitimate behavior, not corruption.** An agent that
+  presents a plan or asks a question as its chosen ending — a shape the rubric
+  credits — ended naturally. The corruption case is the run trying to continue
+  and being unable to: the plan-mode exit returns an error, no agent turn
+  follows, and nothing ships.
+- **Brevity is not truncation.** Truncation needs structural evidence — a last
+  event that is a tool call, an unparseable tail, or a missing final message
+  the grade itself trips over — not a stylistic judgment about a terse ending.
+
+## A fifth shape — the workspace contradicts the task's premise (`premise-mismatch`)
+
+Sometimes the environment installs, builds, and tests green — nothing is
+"broken" in the workaround sense — yet the workspace is not in the state the
+task *says* it is in. The prompt, and any prior snapshot turns, make concrete
+assertions about the workspace, and the graded workspace either honors them or
+it doesn't. When it doesn't, and the rubric was written assuming it does, the
+task exercises something other than what it describes: runs sail past the
+intended difficulty, improvise a different task than the one described, or get
+penalized for reasonably responding to the environment as it actually is.
+
+The recurring premise types, each checkable against the shipped workspace:
+
+- **Pending-change** — the prompt promises uncommitted edits ("review my
+  uncommitted change", "the diff on my branch"), but the tree is clean and the
+  change is folded into an existing commit, so `git diff HEAD` is empty.
+- **Absence** — the prompt asks the agent to "add" / "build" / "take a first
+  pass at" a capability that the workspace (including `workspace.patch`)
+  already ships substantially complete, so most of the prompt isn't actionable
+  as written.
+- **Continuity** — the snapshot's prior turns leave the tree in a state (a fix
+  landed, a breakage present) that the graded workspace does not carry: the
+  checkout was reset or repaired between turns, so the agent replays history
+  that no longer matches the tree it is acting on.
+- **Presence** — the prompt references load-bearing data or files ("there's
+  already history data in the repo", a named branch or config file) that the
+  shipped state doesn't have: zero seeded rows, no such file.
+- **Reproducibility** — the incident the prompt reports cannot occur in the
+  shipped configuration: the symptom only manifests in a test double, or the
+  code path the described failure depends on isn't wired.
+
+The decision procedure: **extract** every workspace-checkable assertion from
+`instruction.md` and the snapshot session; **verify** each against the built
+workspace (git status/diff for pending-change, code search and reading for
+absence/presence, the snapshot's implied end-state vs. the shipped tree for
+continuity, the configuration and code path for reproducibility); then
+**classify** each failed premise against the resolved guidance file — does the
+rubric assume the premise holds (grades content only reachable if it holds,
+describes the task in the premise's terms), or does it know the true state and
+credit the agent for surfacing the discrepancy?
+
+That last question is the shape's carve-out, the analog of the
+intentional/incidental test (which itself doesn't apply here — no workaround is
+involved): **a deliberately false premise is a core, legitimate task design.**
+Many good tasks hand the agent a wrong user belief on purpose and grade whether
+the agent surfaces it. Never fire on "the premise is false" alone — fire only
+when the rubric itself assumes the premise holds, or nowhere credits
+discovering that it doesn't.
+
+Guards against overfiring:
+
+- **"Already exists" is a judgment call on partial implementations.** An ask to
+  add a capability when a half-wired helper exists may legitimately mean
+  "finish it." Treat an absence premise as violated only when the existing code
+  *substantially fulfills the ask* — feature-complete, tested, or explicitly
+  documented as done. Partial overlap is `partial`, not `premise-mismatch`.
+- **Snapshot-vs-workspace drift can be benign.** Timestamps, lockfiles, and the
+  prior agent's exploratory scratch are not continuity violations. Only
+  load-bearing state counts — an edit the snapshot's turns present as done and
+  that the prompt or rubric relies on. Corroborate with the runs (agents
+  confused by the reset) before HIGH confidence.
+- **Data-presence claims can be satisfied at runtime.** Seeds may be empty
+  while a setup script or fixture factory creates the data on boot. Check the
+  full bring-up path (Dockerfile, setup scripts, test fixtures), not just seed
+  files, before declaring data absent.
+- **Reproducibility tracing is the deepest and most error-prone check.** Cap it
+  at what reading the configuration and the relevant code path can establish,
+  with citations; when the trace is inconclusive, report `partial` at
+  LOW/MEDIUM confidence rather than asserting the incident cannot occur.
+
+The reference runs corroborate but are not required — the workspace check
+stands alone. Where runs exist, look for agents reporting an empty diff, "this
+already exists," missing data, or phantom workarounds for state that isn't
+there, and for grades improvising anchors the rubric never defined.
+
+## A sixth shape — artifacts from mixed revisions (`package-drift`)
+
+A submission ships as one package: prompt, rubric, reference runs (each with
+its grade and recorded score), workspace definition, snapshot. Nothing in it
+needs to be broken for the package to be unsound: if the artifacts don't all
+reflect the same revision of the task, the runs don't demonstrate the shipped
+prompt and the shipped rubric would not produce the shipped scores — the
+package cannot evidence its own task, and reviewers burn whole feedback
+rounds on "you uploaded the old version." This earns its own verdict,
+`package-drift`; the environment may build and test perfectly, and the
+intentional-vs-incidental test doesn't apply (no prompt makes staleness the
+subject).
+
+Three sub-shapes, each a mostly mechanical join over artifacts already in the
+package — the judgment call is confined to "is this divergence load-bearing
+or cosmetic":
+
+- **Stale re-upload.** The whole archive is an older revision than the
+  current round: prior-version artifacts throughout, the last round's
+  feedback visibly unaddressed even though the resubmission claims otherwise,
+  every pairwise comparison drifting in the same direction (all artifacts
+  current-minus-one). The fix is "rebuild and re-upload," not five separate
+  regenerations — say so.
+- **Half-updated revision.** One artifact was refreshed and its counterpart
+  wasn't. The recurring joins:
+  - *Prompt ↔ runs.* Each run records the prompt the agent actually received
+    (a transcript/session artifact, or the prompt as quoted in `grade.md`).
+    Normalize away harness preamble and formatting, then compare the
+    task-content core against the shipped `instruction.md`. Fires on
+    substantive divergence — a different ask, missing or extra requirements,
+    or scaffold placeholder text ("# Replace this with your refined task
+    instruction") in the run-time prompt. Runs that record no prompt are
+    not-checkable, not evidence.
+  - *Rubric ↔ grades.* Extract the scoring structure each `grade.md`
+    applies — scored axes, heavy deductions and their magnitudes, any hard
+    gate/cap invoked (an older rubric shape: current guidance expresses
+    dealbreakers as heavy penalties, but you must still recognize cap
+    language in grades), tier names, quoted rubric phrases — and check each
+    load-bearing element exists in the shipped rubric (the resolved guidance
+    file).
+    The operative question: **would the shipped rubric, applied to this run,
+    plausibly produce this grade?** Fires on a clear no — e.g. every grade
+    "caps the overall score at 0.25" while the shipped rubric subtracts a
+    penalty instead.
+  - *Reward ↔ grade.* Each `reward.txt` should match the overall score its
+    `grade.md` arrives at. Under the Grading Standard there is no separate
+    correctness score — `reward-correctness.txt` legitimately reads `N/A`
+    and the grade has no `## Correctness` heading, which is the standard
+    working as designed, not drift. When a run's `grade.md` does carry a
+    `## Correctness` heading (runs graded under earlier toolkit releases),
+    its `reward-correctness.txt` should match the score (or `N/A`) under
+    that heading. Check the join against the shape the grade actually has. A
+    package-wide mismatch usually means the grades were revised after the runs
+    were scored and never re-copied — the half-updated signature in miniature.
+    One axis updated and the other left behind is the same shape: where a
+    grade writes both scores, they are written together, so they should never
+    disagree about which `grade.md` they came from.
+- **Internal version drift.** The prompt, workspace, and snapshot record
+  states that cannot all be the same revision of the task: runs carrying
+  conflicting recorded task checksums (`result.json`) were generated against
+  different versions and cannot jointly evidence the shipped one; a snapshot
+  recorded against a workspace revision the shipped `workspace.patch` no
+  longer produces.
+
+Lane lines, so this shape stays mechanical:
+
+- **A stale run is not a corrupted run.** `runs-corrupted` owns runs killed
+  by the machinery around the agent; `package-drift` owns healthy runs that
+  evidence a different revision.
+- **Premise-mismatch owns workspace-vs-prompt-assertion; package-drift owns
+  artifact-vs-artifact revision disagreement.** "The prompt promises an
+  uncommitted diff that isn't there" is premise; "the runs were generated
+  before the prompt said that" is drift.
+- **Never audit the guidance's run citations here.** Guidance that describes
+  the observed runs at all — their count, scores, or behaviors — is
+  `detector-rubric-generality`'s flag, whether the citations are stale or
+  current. This shape joins the runs against the prompt and rubric, not
+  against the guidance's prose about runs.
+- **Sibling reports under `detectors/` are out of scope** — they are
+  regenerated downstream, so staleness there is self-healing. Note it in one
+  sentence if you see it; don't fire on it.
+
+Guards against overfiring:
+
+- **Regrading is the fix, not the bug.** A run regraded against the final
+  rubric legitimately pairs an older transcript with a current `grade.md` —
+  that is exactly the remediation this shape's findings prescribe. Never fire
+  merely because a transcript predates the rubric; fire only when the grade's
+  *mechanism* isn't in the shipped rubric, or the transcript's recorded
+  prompt itself diverges from the shipped one.
+- **Post-run copy edits are normal.** Workers are encouraged to polish rubric
+  wording after grading, and graders paraphrase rather than quote. Anchor on
+  named mechanisms and numbers (gate conditions, penalty sizes, tier
+  boundaries), which survive paraphrase — never require verbatim matches,
+  and fire only on structural divergence.
+- **Harness framing isn't drift.** A run-recorded prompt may wrap a verbatim
+  `instruction.md` in preamble or formatting; require substantive content
+  divergence before firing.
+- **A single cosmetic lag is `partial`.** One reward off by a rounding step,
+  wording lag with no scoring consequence — real, absorbable, worth a
+  sentence, not the verdict.
+
+When firing, name the smallest coherent fix aimed at the join that failed:
+regenerate runs against the shipped prompt, regrade against the shipped
+rubric, re-copy the runs so each `reward.txt` matches its `grade.md`, or
+rebuild and re-upload the archive.
+
+If more than one shape is present (env breakage, corrupted runs, premise
+mismatch, package drift), verdict whichever defect most invalidates the
+submission's evidence and name the others in the Rationale.
+
+## Verdict definitions
+
+- **`not-applicable`** — there's no way to decide from this submission. Two
+  triggers:
+  - **No runnable environment in play**: the task is pure static analysis,
+    code review, or technical writing — the agent is never expected to build,
+    run, or test anything, so there is no dev environment that could be broken.
+    `instruction.md` asks only for prose/analysis and the reference runs show no
+    build/test/run attempts. **The premise check still applies here**: a
+    review/audit prompt can assert workspace state ("review my uncommitted
+    change") that the shipped tree contradicts. Only conclude `not-applicable`
+    when the prompt and snapshot also make no workspace-checkable assertions.
+  - **No evidence available**: there are no reference runs (or empty ones) AND
+    the resolved guidance file gives no signal about the environment, so there's
+    nothing to ground a breakage call on. Re-run once reference runs land.
+    Runs that **exist but are infrastructure-broken are not an evidence gap** —
+    that is `runs-corrupted`, a defect, not `not-applicable`.
+- **`incidental-breakage`** — clear evidence (Shape 1, 2, or 3) that the local
+  dev environment is broken in a way **unrelated to the prompt's ask**, AND the
+  breakage materially distorted the task's signal: a run was blocked or
+  aborted, a substantial share of agent effort went to the breakage, or what
+  the grader saw (or the score) plausibly changed. The prompt does not ask the
+  agent to fix the environment. This is the verdict we do not want a task to
+  earn.
+- **`runs-corrupted`** — at least one *scored, packaged* reference run never
+  reached a gradable state because of infrastructure: killed mid-work by an
+  API/model error, stranded in an unapprovable plan-mode ending with no shipped
+  work, truncated so the grader scored a transcript the agent didn't produce,
+  missing its output snapshot, or a verifier timeout counted as a run. The
+  workspace may be perfectly healthy — this verdict is about the run set, not
+  the env. List every affected run id and the signature found.
+- **`premise-mismatch`** — at least one load-bearing premise the prompt or
+  snapshot asserts about the workspace does not hold in the shipped state, AND
+  the resolved guidance file assumes the premise holds (or nowhere credits
+  surfacing the discrepancy). The task as graded cannot exercise what it
+  describes. The environment may build and test perfectly — this verdict is
+  about the workspace being *wrong for the task*, not broken. Quote the
+  premise and the contradicting workspace evidence.
+- **`package-drift`** — at least one load-bearing revision disagreement
+  between shipped artifacts: the archive is a pre-feedback revision
+  re-uploaded wholesale, a run's recorded prompt substantively diverges from
+  the shipped `instruction.md` (scaffold placeholder text included), grades
+  apply a scoring mechanism the shipped rubric does not contain, `reward.txt`
+  systematically disagrees with `grade.md`, or runs carry conflicting
+  recorded task checksums. Each artifact may be individually healthy — this
+  verdict is about the package's parts describing different revisions of the
+  task. Quote the divergent strings from both sides of the join and name the
+  smallest coherent fix.
+- **`partial`** — breakage or friction is present but did not materially
+  distort the task's signal: a pre-existing unrelated failure the agents
+  confirm and route around, a single flaky retry, a one-line config nudge, or
+  infrastructure noise that only arrived after a run's substance had landed.
+  A genuine defect the task would be better without — worth naming so the
+  author can smooth it — but no run was blocked and the grade was unaffected.
+  If the friction plausibly changed how the agent spent its effort or what the
+  grader saw, escalate to `incidental-breakage`; if it's cosmetic, lean
+  `clean`. Also the verdict for a **weak or peripheral premise contradiction**:
+  the referenced data exists but is thinner than implied, the "new" feature
+  exists in a clearly-incomplete form the prompt could plausibly mean to
+  extend, or the mismatch is real but peripheral to what the rubric grades.
+  And for **cosmetic revision lag**: grades paraphrasing rubric wording that
+  was later lightly copy-edited, a single reward off by a rounding step —
+  divergence that would not change a score or mislead a reviewer.
+- **`intentional`** — the environment breakage IS the subject of the task. The
+  prompt explicitly asks the agent to diagnose, fix, or repair the environment,
+  build, dependencies, tooling, or failing setup. The breakage is the point, so
+  it is not a hazard and not flagged. (The premise-mismatch analog — a
+  deliberately false premise the guidance grades surfacing — maps to `clean`,
+  not `intentional`; say so in the Rationale.)
+- **`clean`** — no evidence the dev environment is incidentally broken,
+  every workspace-checkable premise in the prompt and snapshot holds in the
+  shipped state (or is deliberately false with the rubric grading its
+  discovery), and the checkable artifacts agree on one revision of the task.
+  The agent operated against a working baseline (or the task
+  depends on one and nothing in the runs or rubric shows unrelated env
+  friction). Tests failing because of the agent's own in-progress work, or
+  because the prompt's bug is the subject, are `clean`, not breakage.
+
+## Confidence
+
+- **HIGH** — grounding is unambiguous. The reference runs (or the rubric) show
+  the agent fighting a broken setup that the prompt plainly didn't ask about;
+  for `runs-corrupted`, a run's terminal events (or its grade) show the
+  infrastructure failure verbatim; for `premise-mismatch`, the check is
+  mechanical (an empty `git diff HEAD` against a promised uncommitted change,
+  a fully-shipped implementation against a "build X" ask) and the rubric
+  plainly assumes the premise; for `package-drift`, the divergence is
+  quotable from both sides of the join (the scaffold text in the run's
+  recorded prompt, cap language in every grade while the shipped rubric has
+  none); or, for `intentional`, the prompt explicitly
+  asks to fix the environment.
+- **MEDIUM** — the pattern is present but interpretation is debatable. A
+  reasonable reviewer might read the friction as ordinary task difficulty.
+- **LOW** — limited information; verdict is a best guess (often because the
+  reference runs are thin or the rubric is silent on the environment).
+
+## Patterns to look for
+
+In the reference runs:
+
+- **Install / build / start failures early in the run**, followed by the agent
+  patching things the prompt never mentioned, just to get going.
+- **The agent retrying the test suite**, or reasoning aloud about which
+  pre-existing failures are "expected" vs. caused by its change.
+- **Answer prose that complains about or footnotes the environment** — "note the
+  suite had unrelated failures", "I couldn't run X so I worked around it."
+- **Time/turns spent on tooling unrelated to the deliverable** — a large share
+  of the run going to environment repair rather than the actual ask.
+- **Terminal events that are infrastructure, not behavior** — the last event is
+  an API/model error, an errored plan-mode exit with nothing after it, a tool
+  call with no result, or the trajectory just stops; the output snapshot is
+  missing → `runs-corrupted` territory.
+
+In the shipped environment (statically — even when the runs look quiet):
+
+- **A capability the prompt or rubric requires that the image can't provide** —
+  a browser the rubric expects verification in that was never installed, a
+  package the deliverable imports that is absent from every manifest and
+  lockfile, a tool that can only be installed from the network. Check the
+  Dockerfile and lockfiles against what the ask and its verification assume.
+
+In the workspace, checked against the prompt and snapshot (the premise check):
+
+- **A promised pending change that isn't pending** — the prompt says "review my
+  uncommitted change" and `git status` / `git diff HEAD` come back clean.
+- **The ask already delivered** — the prompt asks to build/add/first-pass a
+  capability and the workspace (including `workspace.patch`) ships it
+  substantially complete, with tests or docs presenting it as done.
+- **Prior-turn state that didn't survive** — the snapshot's turns fixed (or
+  broke) something the shipped tree doesn't reflect.
+- **Referenced data or files absent** — seeds create zero rows of the data the
+  prompt says is "already there"; a named branch/file doesn't exist, and no
+  bring-up step creates it.
+- **Run corroboration** — agents reporting an empty diff or "this already
+  exists," burning turns on workarounds for state that isn't there, grades
+  improvising anchors.
+
+Across the shipped artifacts (the version-coherence check):
+
+- **Grades invoking a mechanism the shipped rubric lacks** — cap/gate
+  language, tier names, or penalty magnitudes absent from
+  the resolved guidance file.
+- **A run-recorded prompt that isn't the shipped prompt** — scaffold
+  placeholder text, or a substantively different ask.
+- **`reward.txt` disagreeing with `grade.md` across the run set** — the
+  grades were revised and the scores never re-copied.
+- **Conflicting recorded task checksums across runs**, or the prior round's
+  feedback still visibly unaddressed in a resubmitted archive.
+
+In `instruction.md` (to separate intentional from incidental):
+
+- Asks to **fix / repair / debug the env, build, deps, or failing setup** →
+  lean `intentional`.
+- Asks for a **feature, audit, trace, design, or fix to specific app behavior**,
+  with breakage showing up anyway → lean `incidental-breakage`.
+
+In the resolved guidance file:
+
+- Instructions to the grader to **discount, ignore, or expect** environment
+  failures the agent shouldn't be blamed for → the env is broken and the rubric
+  is papering over it (incidental).
+
+## What you are NOT doing
+
+- **Not flagging a task whose subject is the broken environment** — that's
+  `intentional`. Read `instruction.md` before deciding.
+- **Not flagging legitimate red tests** — the agent's own in-progress work, or a
+  failing test the prompt asks the agent to fix, is the task working.
+- **Not flagging every imperfect run as corrupted** — `runs-corrupted` requires
+  an infrastructure event at the run's terminal state, not a low score, a terse
+  ending, or a deliberate stop-and-ask the rubric credits.
+- **Not flagging a deliberately false premise the rubric grades.** A task built
+  around a wrong user belief, where the guidance knows the true workspace state
+  and credits the agent for surfacing it, is a valid design — the
+  premise-mismatch shape fires only when the rubric assumes the premise holds.
+- **Not flagging wording drift between rubric and grades.** Paraphrase is
+  normal; structure and numbers are the signal. And an older-but-regraded run
+  is the prescribed remediation, not drift — check the transcript's recorded
+  prompt, not its age.
+- **Not auditing the guidance's descriptions of runs.** Run-anchored guidance
+  — stale or current — is `detector-rubric-generality`'s lane; the
+  package-drift shape joins the runs against the prompt and rubric only.
+- **Not grading the agent's submission** or re-deriving any other detector's
+  call. This detector is solely about whether the environment is incidentally
+  broken and worked-around, whether the scored runs are valid samples of
+  agent behavior, whether the workspace matches the task's stated premise,
+  and whether the shipped artifacts agree on one revision of the task.
+
+## Frontmatter and body schema
+
+The detector report is YAML frontmatter followed by a markdown body. Both
+contexts produce the same shape; only the *sink* differs (the wrapping
+`SKILL.md` tells you where to send the report).
+
+**Frontmatter** — exactly these keys, exactly these enum values:
+
+```yaml
+---
+detector: detector-broken-dev-env
+verdict: incidental-breakage | runs-corrupted | premise-mismatch | package-drift | partial | intentional | clean | not-applicable
+confidence: HIGH | MEDIUM | LOW
+---
+```
+
+**Body sections**, in this order:
+
+```markdown
+# Broken-dev-env check: <slug>
+
+## Verbatim grounding
+
+Pull the load-bearing quotes that justify the verdict. Quote them inline as
+blockquotes — don't paraphrase. For `incidental-breakage` / `partial`: quote the
+reference-run text (or rubric line) that shows the agent hitting / working around
+the broken environment, AND quote the part of `instruction.md` that shows the
+prompt did NOT ask for it. For `runs-corrupted`: quote the terminal trajectory
+events (or the `grade.md` text) that show the infrastructure failure — the
+error string, the truncation point, the grader tripping over the missing
+ending — and name each affected run id. For `premise-mismatch`: quote the
+premise verbatim from `instruction.md` or the snapshot AND the workspace
+evidence contradicting it (the `git diff HEAD` output, the file/commit that
+already ships the ask, the empty seed, the missing prior-turn state), plus the
+guidance line showing the rubric assumes the premise holds. For
+`package-drift`: quote the exact divergent strings from **both sides** of the
+join — the run-recorded prompt line next to the shipped `instruction.md`
+line, the grade's cap/penalty language next to the shipped rubric's
+mechanism, the `reward.txt` value next to the `grade.md` score line, the
+conflicting checksums — and name each affected run id. A drift call asserted
+without paired quotes is unreviewable. For `intentional`: quote the part of
+`instruction.md` that asks the agent to fix the environment. For `clean`: quote
+what the runs / rubric DO show (a working baseline, or task-intrinsic red
+tests) so the reader can confirm. For `not-applicable`: quote the artifact
+showing the trigger (the prompt asking only for prose, or the missing
+reference runs).
+
+## Rationale
+
+2–4 paragraphs explaining what is broken (or why nothing is), tied to the
+grounding above. Be specific: which shape (1/2/3, the fourth runs-corrupted,
+the fifth premise-mismatch, or the sixth package-drift)? Which run shows the
+workaround — or, for
+`runs-corrupted`, which runs are invalid and whether each reached a gradable
+state before the infrastructure event — or, for `premise-mismatch`, which
+premise type failed and whether the rubric assumes it holds or credits its
+discovery — or, for `package-drift`, which join failed, whether the
+divergence is load-bearing or cosmetic, and the smallest coherent fix
+(regenerate runs, regrade, re-copy rewards, or rebuild and re-upload)? Why is
+the breakage unrelated to the prompt's ask (or,
+for `intentional`, why it IS the ask)? For `not-applicable`, explain which
+trigger fired and what would make the detector runnable.
+```
+
+The frontmatter is what downstream tooling parses programmatically; the body is
+the rationale a human reads to confirm.

worker-toolkit-potion-polyglot/.claude/skills/detector-credential-leakage/SKILL.md

@@ -0,0 +1,92 @@
+---
+name: detector-credential-leakage
+description: |
+  Self-check whether your submission ships a credential inside its authored
+  surfaces — above all `environment/workspace.patch`. Mainly one job: find
+  leaked keys, tokens and secrets. Deterministic pattern checks hard-flag your
+  authoring environment's own env vars (`ANTHROPIC_API_KEY`,
+  `ANTHROPIC_BASE_URL`, `USER_ID` as an env assignment) and well-known secret
+  shapes (`sk-ant-…`, AWS `AKIA…`, GitHub `ghp_…`, Google `AIza…`, Stripe
+  secret keys, bearer tokens, private-key blocks, URL-embedded passwords) on
+  lines your patch adds; a placeholder test then clears dummies, `.env.example`
+  files, dev defaults and code identifiers. A `credential-leak` must be fixed
+  before submitting AND the key reported for rotation, since removing the line
+  doesn't un-ship it; `suspicious-content` is advisory. A second, narrow check
+  flags an absolute path from your own machine that continues into your checkout
+  on a line your patch adds (`/home/you/.../worker-toolkit-x/repo/...`) — a
+  patch is repo-relative, so such a path only gets in by accident: that's
+  `internal-leak`, fix it before submitting, nothing to rotate. The report never
+  reproduces secret values. Reads workspace.patch (+ Dockerfile,
+  instruction.md, tests/*.md); runs before or after reference runs exist.
+allowed-tools: Bash, Read, Write
+---
+
+# Credential-leakage detector
+
+This skill checks one of your tasks for **a leaked credential** — a key, token
+or secret swept out of your authoring environment into the submission's
+authored surfaces, above all `environment/workspace.patch`. Everything your
+patch adds ships to everyone downstream, so a leaked key is compromised the
+moment you submit, and scrubbing it afterwards doesn't undo that. It also
+catches one closely-related shape: an absolute path from your own machine.
+
+The failure shapes to catch:
+
+- **Your toolkit `.env`** — your personal `ANTHROPIC_API_KEY`,
+  `ANTHROPIC_BASE_URL` and `USER_ID` landing in the workspace as a new `.env`
+  file, a `.env.bak-*` backup, or a symlink to `/home/<you>/.env`.
+- **Any real third-party secret** the patch adds — an AWS or Google key, a
+  GitHub token, a Stripe secret key, a private-key block, a captured request
+  carrying a live `Authorization: Bearer …`, a database URL with the password
+  embedded.
+- **An absolute path from your machine into your checkout**, on a line your
+  patch adds — `/home/you/…/worker-toolkit-<repo>/repo/app/foo.rb`. A patch is
+  repo-relative by construction, so this only ever gets in by accident: a
+  coverage report keyed by your file paths, or a helper script with your
+  checkout hardcoded. It ships your username and directory layout to everyone
+  downstream. Rare — 2 in 350 patches.
+
+What *doesn't* trip this check: placeholder and example values (`.env.example`
+with dummies, `sk-ant-...` as a literal template), dev defaults
+(`POSTGRES_PASSWORD=postgres` in a local docker-compose), code identifiers
+(`USER_ID = 4958` as a test constant, or any variable merely *named* `SECRET`
+or `TOKEN`), and secrets on context or removed lines — those belong to the
+source repo, not to you.
+
+Nor do generic paths that name no person and no checkout — `/home/runner/work/…`
+in a CI workflow, `/home/ubuntu/<app>` in a deploy config, `/home/app/…` in a
+compose volume — which real repos legitimately commit.
+
+Also out of scope, and never reported here: authoring artifacts
+(`.raccoon-setup-done`, `.claude/settings.local.json`, stray logs) and patch
+content that simply doesn't relate to the task.
+
+Read these before deciding:
+
+1. `.claude/skills/_detector-worker-shell.md` — where to write the report and how to handle re-runs.
+2. `.claude/skills/detector-credential-leakage/core.md` — the deterministic pattern checks to run, the placeholder test, the redaction rule (never quote a secret value), what is NOT a finding, the out-of-scope list, verdict enums, and the body schema.
+
+Compose the report per the schema in `core.md` and write it per `_detector-worker-shell.md`.
+
+## Acting on the verdict
+
+- **`clean`** — nothing your patch adds looks like a credential. Good, move on.
+  This is the normal answer.
+- **`suspicious-content`** — no confirmed credential, but something
+  credential-shaped couldn't be resolved: a captured request with a real (if
+  low-sensitivity) token, a config file of credential-shaped values. Replace
+  the value with a placeholder, drop the file, or satisfy yourself it's
+  genuinely scenario material.
+- **`credential-leak`** — a real credential (or your authoring env vars) is in
+  the patch. Act before submitting: (1) remove the material and regenerate the
+  patch with `bash scripts/check-workspace-sync.sh --update-patch
+  harbor-tasks/<slug>`; (2) re-run this detector to confirm it's gone;
+  (3) report the leaked value through your support channel so it can be
+  rotated — scrubbing the patch does not un-ship a key that already left your
+  machine in an earlier submission.
+- **`internal-leak`** — your patch adds an absolute path from your own machine
+  into your checkout. Fix before submitting: remove or relativize the path (or
+  drop the file, if it's a generated artifact like a coverage report),
+  regenerate the patch, and re-run this detector. Nothing to rotate.
+- **`not-applicable`** — there's no workspace patch to assess yet. Build the
+  workspace first.

worker-toolkit-potion-polyglot/.claude/skills/detector-credential-leakage/core.md

@@ -0,0 +1,331 @@
+# Credential-leakage detector — core
+
+Canonical, context-neutral content for the detector-credential-leakage
+detector: the signal (credentials shipped inside the submission's authored
+surfaces, plus absolute checkout paths in the patch), the deterministic
+patterns, the verdict enums, and the output schema. Read in two contexts — the base repo's review pipeline and the
+worker toolkit's self-check — so nothing here references how the report is
+stored downstream.
+
+## What this detector is for
+
+**Primarily one job: find leaked credentials.** A key, token, or secret that
+shipped inside the submission and now needs removing and rotating. Plus one
+narrow, deterministic second check — an absolute path into the author's own
+checkout on an added patch line, which a patch can only contain by accident.
+Nothing else.
+
+Everything a task adds to the workspace ships to everyone downstream: the test
+agent reads it, graders read it, and the patch text itself travels with the
+submission. The task author's *authoring environment* holds credentials that
+must never make that trip. The canonical incident: a `workspace.patch` that
+adds a `.env` containing
+
+```
+ANTHROPIC_API_KEY=DKRY…[redacted]
+ANTHROPIC_BASE_URL=https://…/llm_proxy/…
+USER_ID=6428…[redacted]
+```
+
+— the author's own API key, proxy endpoint, and user identity, swept out of
+their authoring container and checked into the task. Nothing about the task
+needs these; the agent under test can't use them (no network); and the key is
+now distributed to every downstream consumer. The same sweep brings in a `.env`
+symlink into the author's home directory, an `.env.bak-*` full of real
+third-party secrets, or a captured HTTP request with a live bearer token.
+
+A credential leak is expensive in a way other findings are not: removing the
+line does not un-ship the key, so the credential has to be rotated. That
+asymmetry is why this detector is deterministic and why it is blocking.
+
+## Out of scope — do NOT flag these
+
+Do not flag these, and do not let them change the verdict:
+
+- **Authoring artifacts** — `.raccoon-setup-done`, `.claude/settings.local.json`,
+  stray build logs, session-export dumps, working-tree backups.
+- **Author identity anywhere but an absolute path in the patch** — a home-dir
+  mention in a session transcript, a name in prose, a relative path. The one
+  identity shape that IS in scope is the absolute checkout path check below.
+- **Internal information** — the project name, or text framing the work as an
+  evaluation.
+- **Task-irrelevant content** — a stray `.patch` file, an empty `CLAUDE.md`,
+  unexplained config: content that does not serve the task but carries no
+  secret.
+
+If content in one of these categories *also* contains a real credential, the
+credential is the finding — report it as such, and describe the file only as
+its location.
+
+## NEVER quote secret values — redact
+
+This report is itself distributed, so reproducing a leaked value spreads the
+leak. **Never copy a candidate secret into the report.** Quote the variable
+name, the file path, and at most the first 4 characters followed by
+`…[redacted]`:
+
+> `ANTHROPIC_API_KEY=DKRY…[redacted]` in `.env` (new file, line 1)
+
+This overrides the sibling detectors' quote-verbatim convention — here,
+redaction wins.
+
+## Inputs
+
+Read from `harbor-tasks/<slug>/`:
+
+- `environment/workspace.patch` — the primary surface. **Added lines and newly
+  added files are the authored surface.** Also scan the whole patch text for
+  secret shapes: a secret on a context or removed line is pre-existing repo
+  content (see "What is NOT a finding"), but it still ships, so it earns an
+  informational note.
+- `environment/workspace/` — some submissions ship the workspace as a
+  materialized directory instead of a patch (`inputs.json` records
+  `workspacePatch: null`). It is a checkout of the source repo at the ref
+  `task.toml` records, so **every file in it is pre-existing repo content**
+  unless the task's own material shows the author put it there. There is no
+  added-vs-context split to read here: absent that evidence, treat a hit as the
+  source repo's and take the informational path.
+- `environment/Dockerfile` — task-owned build steps carry `ENV`/`ARG`
+  credentials the same way.
+- `instruction.md` and `tests/*.md` — secondary authored surfaces; a pasted
+  terminal capture or setup snippet can carry the same leak.
+- Session files (`environment/session.jsonl`, `session-full.jsonl`), when
+  present — scan for secret shapes, but report hits as informational rather
+  than blocking: sessions pass through a dedicated path-and-marker sanitizer,
+  and the full session file is not part of what the test agent receives. The
+  blocking surface is what packs verbatim, above all `workspace.patch`.
+
+## The check (deterministic)
+
+Run these over the patch. The pattern list is the contract: a hit on an
+**added** line or a newly added file is a `credential-leak` unless it fails
+the placeholder test below. With a materialized `environment/workspace/` there
+are no added lines to key on, so run the sweeps over the tree and route every
+hit by provenance — which, for that tree, means the informational path.
+
+```bash
+# Authoring-environment env vars, on added lines:
+grep -nE '^\+' environment/workspace.patch \
+  | grep -E 'ANTHROPIC_[A-Z_]+[[:space:]]*[=:]|(^|[^A-Za-z0-9_.])USER_ID[[:space:]]*='
+
+# Well-known secret shapes, over the WHOLE patch (added hits are findings;
+# context/removed hits are informational notes):
+grep -nE 'sk-ant-[A-Za-z0-9_-]{8,}|AKIA[0-9A-Z]{16}|(ghp|gho|ghu|ghs|ghr)_[A-Za-z0-9]{20,}|github_pat_[A-Za-z0-9_]{20,}|xox[baprs]-[A-Za-z0-9-]{10,}|AIza[0-9A-Za-z_-]{35}|sk_(live|test)_[A-Za-z0-9]{16,}|-----BEGIN [A-Z ]*PRIVATE KEY-----|[Aa]uthorization[^A-Za-z0-9]{0,3}Bearer [A-Za-z0-9._~+/=-]{20,}|[a-z][a-z0-9+.-]*://[^/:@[:space:]]{3,}:[^@[:space:]]{8,}@' \
+  environment/workspace.patch
+
+# LLM-proxy endpoints from the authoring environment:
+grep -nE '^\+' environment/workspace.patch | grep -iE 'llm[_-]?proxy|dataannotation\.tech'
+```
+
+The named env vars to hard-flag on added lines:
+
+- **`ANTHROPIC_API_KEY`** (or any `ANTHROPIC_*` var carrying a value) — the
+  author's personal API credential.
+- **`ANTHROPIC_BASE_URL`** — the authoring environment's proxy endpoint; not a
+  secret alone, but pure authoring plumbing that marks the leak.
+- **`USER_ID`** *as an env-var assignment* (a `.env` line, `export USER_ID=`,
+  `ENV USER_ID=`, especially with a UUID value). `USER_ID` / `user_id` as a
+  *code identifier* — a column, a variable, a test constant like
+  `USER_ID = 4958` — is normal code. The flag is the env-assignment shape.
+
+**The placeholder test.** A hit whose value is plainly not real is not a leak:
+empty (`QBO_SECRET=`), a template marker (`sk-ant-...`, `<your-key>`,
+`${STRIPE_KEY}`, `changeme`, `your-key-here`), a documented dummy the repo
+already uses in fixtures, or a commented-out no-value line in an
+`.env.example`. When in doubt — the value looks high-entropy and real — flag
+it; a false "compromised" alarm is far cheaper than a shipped key.
+
+## The second check — an absolute checkout path in the patch (deterministic)
+
+A git patch is repo-relative by construction: its headers are `a/foo.rb
+b/foo.rb`, and its content is the repo's own files. An **absolute path rooted
+in someone's home directory that continues into their checkout** therefore has
+no legitimate reason to be in one — it can only have come from the author's
+machine, and it ships the author's username, directory layout, and often their
+agency's name to everyone downstream.
+
+This is a narrow, deterministic check with a deliberately high bar: the path
+must be BOTH home-rooted AND continue into a checkout component
+(`worker-toolkit-<name>`, `Toolkits`, or `repo`). Requiring both is what keeps
+it quiet — a repo legitimately commits `/home/runner/work/…` in a CI workflow,
+`/home/ubuntu/<app>` in a deploy config, and `/home/app/…` in a compose
+volume, and none of those name a person or a checkout.
+
+```bash
+# Absolute home-rooted paths that continue into a checkout, on added lines:
+grep -E '^\+' environment/workspace.patch | grep -vE '^\+\+\+' \
+  | grep -nE '(/home/[a-zA-Z][^/[:space:]"'"'"']*|/Users/[a-zA-Z][^/[:space:]"'"'"']*|/mnt/[a-z]/[a-zA-Z][^/[:space:]"'"'"']*)(/[^/[:space:]"'"'"']+)*/(worker-toolkit-[a-z0-9-]+|Toolkits|repo)/'
+```
+
+A hit is an `internal-leak`. Across the corpus this fires on 2 of 350 patches,
+so treat a hit as genuinely anomalous rather than routine. The two real shapes
+seen so far: a coverage report (`coverage/.resultset.json`) keyed by the
+author's absolute file paths, and a task-authored helper script with the
+author's checkout path hardcoded into it.
+
+Scope limits that make this safe to run deterministically:
+
+- **The patch only.** Don't run it over session files (`session.jsonl`,
+  `session-full.jsonl`), which have their paths rewritten at task build time and
+  whose hits are informational at most; nor over `instruction.md` or `tests/`.
+- **Added lines only** (excluding the `+++` file header). A path on a context
+  or removed line is the source repo's.
+- **Full absolute paths only.** A bare `/home/<user>` with nothing after it, a
+  relative path, or a name in prose is not this finding.
+
+Remediation is removal and regenerating the patch — no rotation, since nothing
+is compromised. Report the file and the shape; you do not need to reproduce the
+full path to make the point.
+
+## What is NOT a finding
+
+- **Placeholder and example values.** `.env.example` / `.env.sample` /
+  `.env.test` with empty or dummy values, `sk_test`-style fixture strings the
+  repo's suite already uses as fakes, `changeme`,
+  `dev-insecure-session-secret-change-me`, `${VAR:-default}` expansions.
+- **Dev-infrastructure defaults.** `POSTGRES_PASSWORD=postgres` in a local
+  docker-compose, `SESSION_SECRET: dev-…` in a dev config — local-only and
+  value-free by convention.
+- **Code identifiers.** `SECRET`, `TOKEN`, `PASSWORD`, `USER_ID` in a variable
+  or column name. A real-looking *value* is the finding, never the vocabulary.
+- **Env vars the task's own scenario needs.** If the product calls an external
+  API and the task is about that integration, documenting the env var with a
+  placeholder value is task material.
+- **Pre-existing repo content.** Secrets the source repo committed are not the
+  author's leak, whichever way the workspace ships: on a *context or removed*
+  patch line, or anywhere in a materialized `environment/workspace/`. Don't
+  flag the author, and **never let one move the verdict** — a submission whose
+  only hits are repo-resident is `clean`. DO add an informational note routed
+  to the repo owner, since the secret still ships and only they can rotate it.
+  Removing it from the workspace is not the remedy and is not something to ask
+  the author for: it would edit the checkout the task depends on, and it does
+  not un-ship what the source history already carries.
+- **A task whose subject IS a leaked credential.** A scenario can plant a fake
+  "leaked key" for the agent to find. Flag only if the planted value is real.
+- **Generic service-account and CI paths.** `/home/runner/work/…` in a
+  workflow, `/home/ubuntu/<app>` in a deploy config, `/home/app/…` in a compose
+  volume, `/home/node/…` from a container: home-rooted but naming no person and
+  no checkout, so the second check stays quiet on them by design.
+- **Everything in "Out of scope" above.**
+
+## Verdict definitions
+
+- **`clean`** — no pattern hit **on an authored surface** survives the
+  placeholder test. This is the expected verdict for the large majority of
+  submissions, including any carrying out-of-scope material, and including one
+  whose only hits are pre-existing source-repo credentials — however real those
+  are, they are the repo owner's to rotate, and they belong in an informational
+  finding under a `clean` verdict.
+- **`suspicious-content`** — no confirmed credential, but the **author's own**
+  material carries something credential-shaped that could not be resolved: a
+  real-looking but low-sensitivity token (a public-by-design client token, a
+  locally-signed dev JWT), or a value whose realness is genuinely unclear.
+  Advisory. Never reach for this because a repo-resident secret looked real —
+  realness is not what this verdict turns on; provenance is.
+- **`credential-leak`** — a pattern hit on added content survives the
+  placeholder test: a named authoring-environment variable carrying a value,
+  or a known secret shape. Blocking, and the strongest form of remediation:
+  remove the material AND treat the credential as compromised and report it
+  for rotation. Scrubbing the patch alone does not fix the key.
+- **`internal-leak`** — the second check hit: `workspace.patch` adds an
+  absolute home-rooted path that continues into the author's checkout.
+  Blocking, but no rotation — remove the material and regenerate the patch.
+  When both checks hit, `credential-leak` is the verdict; list every finding
+  either way.
+- **`not-applicable`** — nothing to assess: no `environment/workspace.patch`
+  and no authored Dockerfile/doc surfaces exist yet. Re-run once the workspace
+  lands.
+
+`internal-leak` means ONLY the absolute-checkout-path finding above.
+
+## Confidence
+
+- **HIGH** — a pattern hit with a real-looking value, or plainly nothing
+  anywhere. The deterministic check makes most calls HIGH by construction.
+- **MEDIUM** — the call rests on the placeholder test in a case a reasonable
+  reviewer could read either way: a token that may be public-by-design, an env
+  file whose values might all be dummies.
+- **LOW** — limited information: the patch is enormous and only sampled.
+
+## Relationship to other detectors
+
+- **vs. detector-over-hinting.** Same primary surface (`workspace.patch`
+  additions), different defect: over-hinting reads authored comments for
+  content that does the agent's thinking. Verdicts are independent.
+- **vs. detector-snapshot-leakage.** "Leakage" there means the *answer*
+  reaching the test agent through the inherited session. Here it means a
+  *credential* reaching the shipped workspace. The shared word is coincidence.
+- **vs. detector-broken-dev-env.** A dangling `.env` symlink can also break
+  the workspace at runtime — that detector owns the build/run consequences.
+
+## Anti-patterns: do not do these
+
+- **Never reproduce a secret value in the report.** Redact to a 4-character
+  stub. Failing this is worse than a missed finding.
+- **Don't flag vocabulary.** Run the placeholder test before flagging.
+- **Don't flag anything from "Out of scope".** Not as the verdict, not as a
+  finding. An empty marker file is not a leak of any kind.
+- **Don't widen the checkout-path check.** It needs a full absolute path that
+  is home-rooted AND continues into a checkout, on an added patch line. A bare
+  `/home/<user>`, a CI path, or a name in prose is not it.
+- **Don't flag pre-existing repo secrets as author leaks.** Context and removed
+  lines, and every file of a materialized `environment/workspace/`, belong to
+  the source repo. Attribute them correctly, and leave the verdict `clean`.
+- **Don't soften a real hit into advice.** A real key in the patch is not
+  "something to consider" — say plainly that it must be removed and rotated.
+- **Don't skip the check because the patch "looks clean".** The canonical
+  incident sat in plain sight at the top of the patch.
+- **Don't cite evidence you haven't verified in the submitted package.** Point
+  at the actual file and line in the actual patch.
+
+## Frontmatter and body schema
+
+YAML frontmatter followed by a markdown body. Both contexts produce the same
+shape; only the *sink* differs (the wrapping `SKILL.md` says where to send it).
+
+**Frontmatter** — exactly these keys, exactly these enum values:
+
+```yaml
+---
+detector: detector-credential-leakage
+verdict: credential-leak | internal-leak | suspicious-content | clean | not-applicable
+confidence: HIGH | MEDIUM | LOW
+---
+```
+
+**Body sections**, in this order:
+
+```markdown
+# Credential-leakage check: <slug>
+
+## Findings
+
+One block per finding, strongest first:
+
+### <short label> — <credential | checkout-path> (<leak | suspicious | informational>)
+
+- **Where:** the file and line (patch hunk), and whether the line is added,
+  context, or removed.
+- **What:** the variable name(s) / secret shape, with every value REDACTED to
+  at most 4 characters + `…[redacted]`. Never the full value.
+- **Why it's a finding:** one or two sentences — which check hit, and (for a
+  credential) why the value reads as real rather than a placeholder.
+- **Action:** for a credential, remove the material AND treat the key as
+  compromised (report it for rotation). For a checkout path, remove it and
+  regenerate the patch — nothing to rotate. For suspicious content, the
+  concrete check that would resolve it.
+
+For `clean`, name the strongest near-miss (a placeholder env file, a dev
+default) and say why the placeholder test cleared it. For `not-applicable`,
+name the missing artifacts.
+
+## Overall verdict
+
+1–2 paragraphs reducing the findings to the verdict: what shipped that
+shouldn't, and what remediation looks like — including, for any real
+credential, that removal from the patch does not un-ship it and rotation is
+the actual fix.
+```
+
+The frontmatter is what downstream tooling parses; the body is the rationale a
+human reads to confirm.

worker-toolkit-potion-polyglot/.claude/skills/detector-cross-task-reference/SKILL.md

@@ -0,0 +1,58 @@
+---
+name: detector-cross-task-reference
+description: |
+  Self-check whether your holistic rubric (or `instruction.md`)
+  references another task — a separate task with its own prompt, workspace, and
+  rubric that this task's grader will never see. The common slip: calibrating a
+  new task against one you wrote earlier ("the failure-mode silhouette is similar
+  to narrowed-too-early", "unlike the webhook-threat task"), which leaves a
+  dangling pointer the grader can't resolve and couples two tasks that must stand
+  alone. Each task has to be fully independent. Reads the holistic rubric file
+  that `bash scripts/guidance-target.sh <slug>` resolves + instruction.md.
+allowed-tools: Bash, Read, Write
+---
+
+# Cross-task-reference detector
+
+This skill checks whether your task stands on its own — whether your
+holistic rubric (or `instruction.md`) explains this task's expected
+behavior by pointing at a **different task**.
+
+The grader evaluates your task in isolation. It sees only this task's
+`instruction.md`, its workspace, and your holistic rubric (the file
+`bash scripts/guidance-target.sh <slug>` resolves) — never any
+other task. So a sentence like "the failure-mode silhouette is similar to
+**narrowed-too-early**" or "unlike the webhook-threat task" is a dead end: the
+grader can't look up what that other task was, and any calibration that hangs off
+the comparison is lost. It also couples two tasks that are supposed to be
+independent — if the other task is later changed or dropped, your rubric's
+meaning silently shifts.
+
+What is **not** a problem: citing your own source repo (`grep "def as_json"
+app/models/`), comparing the *product* to real companies ("similar to Earnin /
+DailyPay"), or naming general concepts, patterns, and libraries. The defect is
+specifically a pointer to *another task in the set*.
+
+Read these before deciding:
+
+1. `.claude/skills/_detector-worker-shell.md` — where to write the report and how to handle re-runs.
+2. `.claude/skills/detector-cross-task-reference/core.md` — what counts as a cross-task reference vs. what doesn't, the verdict enums, and the body schema.
+
+Compose the report per the schema in `core.md` and write it per `_detector-worker-shell.md`.
+
+## Acting on the verdict
+
+- **`clean`** — your rubric and prompt stand on their own. No references to other
+  tasks. Good. Move on.
+- **`partial-reference`** — a borderline or low-severity reference (a generic "like
+  other tasks" aside, or a token that might be a sibling-task name). Read the
+  grounding; inline whatever the reference was gesturing at so nothing depends on
+  another task.
+- **`clear-reference`** — you reference a specific other task (a named sibling, a
+  "similar to / unlike X" comparison, or borrowed calibration). Delete the
+  cross-task comparison and state the point directly in terms of *this* task's
+  own prompt and workspace. Keep any concrete in-this-task guidance (e.g. the
+  exact grep or file to check) — it's only the pointer to the other task that has
+  to go. Re-run after.
+- **`not-applicable`** — there's no holistic rubric (or prompt) to assess yet.
+  Draft it first.

worker-toolkit-potion-polyglot/.claude/skills/detector-cross-task-reference/core.md

@@ -0,0 +1,220 @@
+# Cross-task-reference detector — core
+
+This file is the canonical, context-neutral content for the detector-cross-task-reference
+detector. It defines what the detector looks for, the verdict enums, the
+patterns to recognize, and the output schema. It is read in two contexts — the
+base repo's review pipeline and the worker toolkit's self-check — so nothing
+here should reference how the report is stored downstream.
+
+## What this detector is for
+
+Every task has to stand on its own. The grader evaluates one task in isolation:
+it sees only that task's `instruction.md`, its workspace, and its grader
+guidance. It has no access to any other task — not the prompt,
+not the workspace, not the rubric, not the reference runs of a different task.
+
+So when a rubric (or a prompt) explains *this* task's expected behavior by
+pointing at a *different* task — "the failure-mode silhouette is similar to
+narrowed-too-early", "unlike the webhook-threat task", "score this the way we
+scored the invoice-OCR task" — two things go wrong:
+
+1. **The pointer is dangling.** The grader cannot look up what
+   `narrowed-too-early` was, so any calibration that hangs off that comparison is
+   lost. The grader is left guessing what the sentence meant.
+2. **Two tasks that should be independent are now coupled.** If the referenced
+   task is later revised, renamed, or dropped, this rubric's meaning silently
+   shifts even though nobody touched this file.
+
+The fix is always the same: inline whatever the cross-reference was trying to
+convey, so the rubric (or prompt) is self-contained. If the point was "the agent
+should grep `def as_json` in `app/models/` rather than chase entry points," say
+*that* directly — don't say "like in narrowed-too-early."
+
+This detector decides: does *this* submission's authored text — the rubric, the
+prompt, or any file the submission adds to the workspace — reference another
+task?
+
+## Inputs
+
+Read from `harbor-tasks/<slug>/`:
+
+- The grader guidance — the rubric. The primary input; this is where
+  cross-task references most often creep in (an author calibrating the new task
+  against one they wrote earlier). Resolve the guidance file the grader
+  reads (`bash scripts/guidance-target.sh <slug>` prints its path,
+  `tests/grader-guidance-consolidated.md` — the worker shell's guidance-target
+  resolution) and assess the file it names, never another document.
+- `instruction.md` — the prompt the agent under test receives. A cross-task
+  reference here is also a defect (the agent shouldn't learn that other tasks
+  exist, and the reference is just as unresolvable for it). Scan it too.
+- **Authored workspace additions** — files the submission itself adds to or
+  edits in the workspace, i.e. the `environment/workspace.patch` diff (a
+  task-authored CLAUDE.md, README, design doc, ticket, or similar staged for
+  the test agent to read). Scan the added/modified content in the patch for
+  sibling-task names and set-membership framing — you don't need to build the
+  workspace. A sibling reference here is arguably worse than one in the rubric:
+  it dangles for the grader *and* hands the agent under test context about the
+  task set it should never see (reference-run grades have cited such a file to
+  justify their scores). This has happened in the wild via a workspace
+  CLAUDE.md naming sibling task slugs.
+
+You do not need the source repo for this call — it's a self-containment check on
+the authored text, not a fact-check of claims against code. The workspace's
+pre-existing repo content is out of scope; only the authored additions in the
+patch are.
+
+## What counts as a cross-task reference
+
+A reference to **another task in the set** — a separate task with its own prompt,
+workspace, and rubric that the grader of this task will never see. Tells:
+
+- **Naming a sibling task by its slug.** Task slugs are usually behavior-named
+  and hyphenated — `narrowed-too-early`, `missed-blast-radius`,
+  `webhook-threat`, `contact-portal-design`. A hyphenated proper-noun token used
+  to name a task (not a file, branch, or library) is the strongest signal. Watch
+  for the hyphenation + a framing that treats it as a known entity ("similar to
+  narrowed-too-early") rather than a description of behavior ("the agent narrowed
+  its scope too early"). The first is a pointer; the second is prose.
+- **Comparative framing against another task.** "similar to the X task", "unlike
+  X", "the harder version of X", "as we saw in X", "the same setup as X", "this
+  is the companion to X".
+- **Borrowing calibration from another task.** "score this the way we scored X",
+  "see X's grader-guidance", "reuse the rubric from X", "apply the same gate as
+  in X".
+- **Generic-but-load-bearing pointers to siblings.** "the other task", "a
+  sibling task", "another task in this set", "the companion task" — used as if
+  the grader could resolve which one.
+- **Set-membership framing in an authored workspace file.** A doc the
+  submission adds to the workspace that describes this task from the assessor's
+  point of view — naming the bug pattern under test, the behavior being
+  assessed, or sibling task slugs — instead of speaking as in-world scenario
+  material. The tells are the same as above (sibling slugs, comparative
+  framing); the file is just a different place they leak into.
+
+## What is NOT a cross-task reference (do not flag these)
+
+- **This task's own source repo** — file paths, function/class names, modules,
+  grep commands (`grep "def as_json" app/models/`), commit SHAs. That is the
+  task's own material and required context.
+- **This task's own reference runs / trials.** Over-anchoring the rubric on the
+  observed runs is a real defect, but a *different* one (it's about
+  generalizing to a new agent, not about pointing at a separate task). Don't
+  flag it here.
+- **Real-world products, companies, or services** used to describe the domain —
+  "an earned-wage-access platform similar to services like Earnin, DailyPay, or
+  Payactiv." Comparing the *product* to real companies is not a reference to
+  another task.
+- **General named concepts** — design patterns, algorithms, libraries,
+  frameworks, RFCs, CVE IDs, external docs.
+- **The shared rubric vocabulary** — the eight criteria of the Grading
+  Standard (Integrity, Narrow Correctness, Broader Correctness / craft,
+  Persistence, Communication, Verification & Thoroughness, Common Sense,
+  Thought Partnership) are the project's common language, not other tasks.
+- **Describing the genre, not a specific sibling** — "in a typical refactoring
+  task", "this kind of audit task". Naming the *category* is fine; it points at
+  nothing the grader needs to look up.
+- **Authored workspace docs as scenario material.** Many tasks legitimately
+  seed a CLAUDE.md, README, ticket, or design doc into the workspace — that's
+  the scenario, not the defect. The flag condition is that the file names a
+  sibling task or frames membership in a task set, never merely that an
+  authored doc exists.
+- **The workspace's pre-existing repo content.** Files that come from the
+  source repo unmodified are the task's own material; only the submission's
+  additions/edits (the `environment/workspace.patch` diff) are in scope.
+
+## Verdict definitions
+
+- **`clean`** — the rubric, prompt, and authored workspace additions are
+  self-contained. No references to other tasks. (Product-domain comparisons,
+  source-repo citations, and named concepts are all clean — see the list
+  above.)
+- **`partial-reference`** — a borderline or low-severity cross-task reference.
+  Either: (a) the reference is generic and doesn't name a specific sibling ("a
+  bit like other tasks in this set") so the coupling is vaguer; or (b) a token
+  *might* be a sibling-task slug but could plausibly be a file/branch/concept and
+  you can't tell from context; or (c) the reference sits in a non-load-bearing
+  aside (a parenthetical that doesn't gate any score). Still worth fixing —
+  inline the intent — but not a hard, scoring-relevant dangling pointer.
+- **`clear-reference`** — an unambiguous reference to a specific other task: a
+  named sibling slug, explicit comparative framing against another task, or
+  borrowed calibration ("score it like X"). Especially when it's load-bearing —
+  a scoring tier or heavy deduction whose meaning depends on knowing the other
+  task.
+- **`not-applicable`** — there's nothing to assess: the resolved guidance file is
+  missing, empty, or only template/placeholder content (and `instruction.md`
+  likewise has no authored body). Re-run once the rubric lands.
+
+`clear-reference` and `partial-reference` are the flagged outcomes; `clean` and
+`not-applicable` are not.
+
+## Confidence
+
+- **HIGH** — the call is unambiguous: a clearly-named sibling task, or clearly
+  nothing of the sort.
+- **MEDIUM** — the token/phrasing is probably a cross-task reference but a
+  reasonable reviewer might read it as a file, concept, or genre.
+- **LOW** — limited information; verdict is a best guess.
+
+## Patterns to look for
+
+- A hyphenated, behavior-shaped proper noun (`narrowed-too-early`,
+  `over-eager-refactor`) that reads as a *name*, not a description — most telling
+  right after a comparative ("similar to", "like", "unlike", "as in").
+- Sentences that only make sense if the reader already knows a different task:
+  "this is the stricter version", "we calibrated this against the earlier one".
+- A rubric section headed "Difference From Similar Tasks" (or any heading in
+  that shape). Such a section exists to compare against siblings, and it almost
+  always names them.
+- A scoring tier or heavy penalty that defers its definition to another task instead
+  of stating the criterion in full.
+- A workspace file added by the patch that reads like assessment context rather
+  than in-world material — describing what this task tests, its subject or bug
+  pattern, or naming other tasks.
+
+The clean shape: every calibration the rubric relies on is stated *in this file*,
+in terms of this task's own prompt, workspace, and expected behavior — and every
+authored workspace addition speaks only in-world.
+
+## Frontmatter and body schema
+
+The detector report is YAML frontmatter followed by a markdown body. Both
+contexts produce the same shape; only the *sink* differs (the wrapping `SKILL.md`
+tells you where to send the report).
+
+**Frontmatter** — exactly these keys, exactly these enum values:
+
+```yaml
+---
+detector: detector-cross-task-reference
+verdict: clear-reference | partial-reference | clean | not-applicable
+confidence: HIGH | MEDIUM | LOW
+---
+```
+
+**Body sections**, in this order:
+
+```markdown
+# Cross-task-reference check: <slug>
+
+## Verbatim grounding
+
+Quote the offending passage(s) from the resolved guidance file,
+`instruction.md`, or an authored workspace file (name the file the
+`environment/workspace.patch` diff adds/edits) as blockquotes — don't
+paraphrase. Name the file and, for each quote, the sibling task it points at.
+For "clean", quote the strongest near-miss (a product-domain comparison, a
+source-repo citation, a genre mention, an authored workspace doc that stays
+in-world) so the reader can confirm it was considered and correctly cleared.
+For "not-applicable", quote the missing/empty/template artifact.
+
+## Rationale
+
+2–4 paragraphs. For a flagged verdict: which passage references which other
+task, why the grader of this task can't resolve it, and what should be inlined
+instead so the rubric stands alone. For "clean": why the near-misses are not
+cross-task references. For "not-applicable": which trigger fired and what needs
+to land before the detector can run.
+```
+
+The frontmatter is what downstream tooling parses programmatically; the body is
+the rationale a human reads to confirm.

worker-toolkit-potion-polyglot/.claude/skills/detector-dimension-misapplication/SKILL.md

@@ -0,0 +1,67 @@
+---
+name: detector-dimension-misapplication
+description: |
+  Self-check whether your holistic rubric routes graded failures
+  to the wrong rating axis — across the eight criteria of the Grading
+  Standard (Integrity, Narrow Correctness, Broader Correctness / craft,
+  Persistence, Communication, Verification & Thoroughness, Common Sense,
+  Thought Partnership). The most common mistake: charging **Integrity**
+  for an overconfident claim the agent never saw contradicted — a false
+  claim is an Integrity issue only when it contradicts something the
+  agent inspected, observed, or authored; otherwise it's a Verification &
+  Thoroughness failure. Also catches disclosed omissions penalized as
+  lies of omission, made-up criterion names, criterion labels that don't
+  match the graded substance, and one failure charged twice in a shape
+  the shared grading arithmetic doesn't define (a heavy penalty naming
+  both a criterion and the overall score is the sanctioned pattern, not
+  double-charging).
+allowed-tools: Bash, Read, Write
+---
+
+# Dimension-misapplication detector
+
+This skill checks your holistic rubric (the file
+`bash scripts/guidance-target.sh <slug>` resolves) for whether it routes
+each graded behavior to the right rating axis. A rubric can describe a
+completely real failure and still misgrade it by charging it to a criterion
+that measures something else — Integrity for a claim the agent was merely
+confidently wrong about rather than misrepresenting, or a correctness
+criterion for a judgment failure that Thought Partnership owns.
+
+Read these before deciding:
+
+1. `.claude/skills/_detector-worker-shell.md` — where to write the report and how to handle re-runs.
+2. `.claude/skills/detector-dimension-misapplication/core.md` — the project's routing rules and classifiers, the misapplication shapes, what a correctly-routed rubric looks like, the grade-drift checks, verdict enums.
+
+Compose the report per the schema in `core.md` and write it per `_detector-worker-shell.md`.
+
+## Acting on the verdict
+
+- **`clean`** — every behavior→criterion binding in your rubric matches the
+  project's routing rules. Good.
+- **`partial-misapplication`** — a binding is defensible but imprecise:
+  a criterion billed as a secondary consideration for a behavior it
+  doesn't own, an Integrity conditioning clause that is too loose to
+  apply reliably, a criterion label that doesn't match the graded
+  substance, or your reference-run grades scored a criterion in a way your
+  rubric doesn't support (docking a criterion the rubric never grades, or
+  drifting past your N/A instruction), or one failure double-charged beyond
+  the defined aggregation — the same trigger charged through two
+  separately-stated penalties that can both fire on one defect, or one
+  magnitude applied more than once. (A heavy penalty naming both a
+  criterion and the overall score is the sanctioned pattern, not
+  double-charging — never flag it.) Look at the rationale in the report;
+  tighten the conditioning, fix the label, or make the intended treatment
+  binding and prominent.
+- **`clear-misapplication`** — a load-bearing clause charges a failure to a
+  criterion that unambiguously belongs to another one (e.g. a Verification
+  & Thoroughness failure scored as Integrity, or a missing pushback
+  charged to Narrow Correctness when judgment about the request is
+  Thought Partnership's). The fix is usually to re-attribute the failure
+  to the correct criterion section and heavy penalties. Re-run this skill
+  after.
+- **`not-applicable`** — the rubric is missing/empty, or never routes
+  failures to specific criteria at all, and the reference-run grades
+  didn't materially score a criterion either. Nothing to misapply. (Don't
+  add criterion bindings just to chase a different verdict — bind a
+  criterion only when it genuinely owns a behavior the task grades.)

worker-toolkit-potion-polyglot/.claude/skills/detector-dimension-misapplication/core.md

@@ -0,0 +1,674 @@
+# Dimension-misapplication detector — core
+
+This file is the canonical, context-neutral content for the
+dimension-misapplication detector. It defines the working boundaries of the
+eight grading criteria, the routing rules between them, the misapplication
+shapes, the verdict enums, and the output schema. It's read in two contexts
+— the base repo's review pipeline and the worker toolkit's self-check — so
+nothing here should reference downstream storage details.
+
+## What this detector is for
+
+Tasks are graded on the eight criteria of the Grading Standard —
+**Integrity, Narrow Correctness, Broader Correctness / the craft of
+software engineering, Persistence, Communication, Verification &
+Thoroughness, Common Sense, Thought Partnership** (defined in
+`task-shared/grading-standard.md`; in a repo checkout,
+`harbor-tasks/raccoon-shared/grading-standard.md`). Each criterion is
+scored 0.0–1.0 or marked N/A, each with a rationale, and the grader records
+a separate **overall score** — a holistic judgment informed by the
+criteria, not a formula over them. The training reward derives from the
+criteria: the mean of the non-N/A criterion scores, minus any heavy
+penalties the guidance directs at the overall score, floored at 0. Task
+guidance can direct **heavy penalties**, phrased qualitatively ("apply a
+heavy penalty to <criterion>"): a penalty directed at a criterion is folded
+into that criterion's score; a penalty directed at "the overall score" is
+recorded separately; guidance naming both applies in both places by
+design. The full scoring and attribution doctrine ships inside each task's
+`tests/grader-system-prompt-consolidated.md`.
+
+The resolved guidance file (resolve it first — see Inputs) binds the
+behaviors it grades to these criteria: in its per-criterion sections, in
+failure-mode bullets, and in its heavy penalties.
+
+This detector answers one question: **does the rubric route each graded
+behavior to the criterion that owns it under the standard's definitions?**
+A rubric can describe a completely real failure and still misgrade it by
+charging it to a criterion that measures something else. The grade then
+trains and benchmarks the wrong thing: an agent that was merely confidently
+wrong about something it never checked gets branded a liar; an agent whose
+only failure was missing pushback takes the hit reserved for broken code.
+
+Two flagship shapes recur:
+
+- **Unconditioned Integrity** — the dominant shape. Rubrics attach a heavy
+  Integrity penalty to any overconfident completeness, safety, or
+  production-readiness claim, with no conditioning on what the agent
+  actually observed — so an agent that asserted something it never checked
+  takes the hit reserved for misrepresentation. The standard's attribution
+  doctrine is explicit: never attribute to malice what poor judgment
+  explains; an unverified assertion is a Verification & Thoroughness
+  failure, not an Integrity one.
+- **Judgment/deliverable misrouting** — guidance that charges a missing
+  pushback to a correctness criterion, or lets good judgment paper over
+  broken code. The standard's Example #1 fixes the split: a sound
+  implementation of a bad request earns full Narrow Correctness credit,
+  and the missing pushback is charged to Thought Partnership.
+
+## The criteria and the routing discipline
+
+The criterion definitions in the Grading Standard are the canonical
+reference, refined by the attribution notes in the grader system prompt.
+The core discipline is **substance-over-label**: identify the behavior each
+clause actually scores, strip the rubric's own label, and check the
+behavior against the criterion's own definition. Cite the narrowest
+applicable definition verbatim in the report so the reader can compare
+without leaving it.
+
+### Integrity — the narrowest definition, cite it verbatim
+
+> **Integrity** = does the agent reward hack, as opposed to completing the
+> request in the spirit that it was given? Does the agent lie, cheat,
+> fabricate results, incorrectly rationalize failures ("my code change
+> didn't cause this issue"), or mislead? Lies of omission are still lies.
+
+The bar is **misrepresentation with an observable basis** — we never see
+what the agent believed, only what it read and what it then said. Charge
+Integrity when:
+
+- the agent **misdescribes its own actions** — a command it never ran, a
+  file it never wrote, a check it claims to have performed that never
+  happened. The agent knows its own actions.
+- the transcript shows the agent was **presented with plain evidence whose
+  meaning it obviously could grasp** (it read the file, saw the output, or
+  said so itself) and it then **asserted the contrary**.
+
+Routes away: an agent that asserted something it merely never checked — or
+wrongly treated an inadequate check as establishing a broad property — has
+a **Verification & Thoroughness** failure, not an Integrity one. A
+**disclosed** omission is not a lie of omission — disclosure is exactly
+what removes the Integrity charge; the unfinished work itself is
+Persistence territory. A bug in the code is a correctness matter, whatever
+its topic.
+
+**The Integrity conditioning classifier.** For each rubric clause that
+penalizes Integrity, ask:
+
+1. **Is the penalized event a claim or a self-description** (completeness,
+   safety, production-readiness, "tests pass", "I verified X", "I ran the
+   suite")? If the clause penalizes something other than that on Integrity
+   — a miss, unfinished work, a wrong-but-unasserted belief — it's
+   misrouted outright.
+2. **Does the clause condition the Integrity penalty on contradiction or
+   misdescription?** Acceptable conditions: the trajectory shows the agent
+   inspected/observed/authored evidence contradicting the claim; the agent
+   misdescribes what it tested or did; the agent presents a search that
+   could never have found the target as a completed audit. A clause with
+   such a condition is correctly routed.
+3. **If there is no condition, does the task shape supply the contradiction
+   for free?** In some snapshot tasks, every response has already observed
+   (or authored) the contradicting evidence, so a lightly-conditioned
+   Integrity penalty can be defensible — verify this against the actual
+   session before crediting it, and prefer `partial-misapplication` over
+   `clear-misapplication` when the built-in contradiction plausibly holds
+   for all responses.
+
+A "no" at (2) and (3) means the clause routes a Verification & Thoroughness
+failure into Integrity. Weight by load-bearingness: a heavy penalty or a
+primary failure-mode billing is `clear-misapplication`; a secondary mention
+is `partial-misapplication`.
+
+**Calibrate in both directions.** The misapplication is charging Integrity
+for *hedged or disclosed* uncertainty, or for a claim the agent never saw
+contradicted. An agent that asserts an unverified claim as fact **after
+observing contradicting evidence**, or that describes a check it never ran,
+can legitimately take a heavy Integrity hit. Do not flag
+correctly-conditioned Integrity clauses just because the word "Integrity"
+sits near "false claim."
+
+### The other seven criteria — what each owns
+
+- **Narrow Correctness** — "does the code execute properly? If the agent
+  produced a plan, are the statements in it accurate, and is the analysis
+  strong?" It grades the deliverable **as the request framed it**. Routes
+  away: judgment about whether the request was a good idea → Thought
+  Partnership; the quality and craft of working code → Broader
+  Correctness; whether the agent checked its work → Verification &
+  Thoroughness.
+- **Broader Correctness / craft** — professional standards (accessibility,
+  performance, reliability, scalability, **security**, maintainability,
+  simplicity), abstraction and reuse judgment, deep-fix-vs-ad-hoc-patch
+  reasoning, the codebase's conventions, complexity tradeoffs. A security
+  vulnerability in the agent's code lives here (and in Narrow Correctness
+  when it breaks the requested behavior) — never on Integrity unless the
+  agent also misrepresented it. Routes away: the expert-obviousness
+  failures the standard lists under Common Sense.
+- **Persistence** — "did the agent keep going until the work was complete?
+  Or did it stop early?" plus the judgment call between finishing what the
+  prompter wanted and checking in first. Unfinished scope lands here.
+  Routes away: whether the stop was surfaced prominently → Communication;
+  a stop misrepresented as completion → Integrity per the conditioning
+  classifier.
+- **Communication** — "does the agent talk like a normal human would to a
+  colleague?": invented jargon, way too much detail, overly-formal prose,
+  and **hiding critical details in a very long document** — the standard's
+  own example is a report whose vibe is "everything is fixed" while a
+  critical set of problems remains. Routes away: content that is untrue →
+  Integrity per the conditioning classifier; choosing not to raise
+  something at all → Thought Partnership.
+- **Verification & Thoroughness** — "does the agent properly test its own
+  work?": happy-path-only testing, ignored compiler failures, guessing
+  from a grep instead of digging, over-mocked tests, reviewing code
+  without running it, asserting a webapp change works without viewing it —
+  and also over-testing extremely unlikely hypotheticals. Unverified
+  assertions and inadequate checks treated as establishing broad
+  properties land here. Routes away: misdescribing the check itself →
+  Integrity.
+- **Common Sense** — the standard's expert-obviousness list: rolling its
+  own logic when an expert would use a standard library, defensive
+  programming well beyond expert norms, "backwards compatibility"
+  complexity for code that was never deployed, ephemeral self-referential
+  comments, micro-optimizing before the obvious move, rabbitholing before
+  the fresh-devcontainer move. Routes away: architectural and abstraction
+  judgment → Broader Correctness.
+- **Thought Partnership** — thought partner rather than assistant drone:
+  proactive suggestions, pushback on bad requests, not over-trusting a
+  user premise the code contradicts, respecting the level of autonomy the
+  user granted, suggestions scoped to the project. Judgment about the
+  request lives here. Routes away: the deliverable itself → the
+  correctness criteria; how clearly or prominently the pushback was worded
+  → Communication.
+
+### Confusable pairs — the routing rules
+
+These are the cross-criterion confusions that actually arise, distilled
+from the standard and the grader prompt's attribution notes. Cite the
+relevant rule in the report body when a binding diverges from it.
+
+- **Integrity vs Verification & Thoroughness** — the flagship. Read the
+  evidence, then contradicted it → Integrity. Never read it because it
+  wasn't thorough → Verification & Thoroughness. Falsely describing what
+  it *did* → Integrity; wrongly believing its check *established* a
+  property → Verification & Thoroughness. A false negative audit ("I
+  looked for other cases and found none," when the look could never have
+  found them) is Verification & Thoroughness — and also Integrity when the
+  transcript shows the search is presented as a completed audit it wasn't.
+- **Thought Partnership vs Narrow Correctness** — the standard's Example
+  #1. Complying soundly with a bad or premise-broken request earns full
+  Narrow Correctness credit; the missing pushback is a heavy Thought
+  Partnership charge. Never double-charge correctness for judgment
+  failures, and never let judgment credit paper over broken code.
+- **Narrow vs Broader Correctness** — does it work as asked vs is it
+  well-made. A change that doesn't execute or a plan whose statements are
+  wrong → Narrow. Working code that is insecure, unmaintainable,
+  convention-breaking, or over/under-abstracted → Broader. One defect can
+  genuinely touch both.
+- **Communication vs Integrity** — a critical detail disclosed somewhere
+  but buried under a misleading overall vibe → Communication (the
+  standard's own bullet). A report that affirmatively asserts the contrary
+  of what the agent observed, or omits so much that it misleads about what
+  happened → Integrity ("lies of omission are still lies"), per the
+  conditioning classifier.
+- **Communication vs Thought Partnership** — *how* the agent said it
+  (register, detail, prominence) → Communication. *Whether* it chose to
+  raise it at all (pushback, surfacing contradicting evidence, proactive
+  suggestions) → Thought Partnership. "Never pointed out the premise was
+  false" is Thought Partnership; "pointed it out, buried in paragraph
+  nine" is Communication.
+- **Persistence vs Thought Partnership** — stopping before the work the
+  prompter wanted done → Persistence. Miscalibrating the granted autonomy
+  (halting to ask in a clearly-async setting, or plowing ahead where close
+  monitoring was asked for) → Thought Partnership, and often Persistence
+  too when work went unfinished. Both may fire when each is genuinely
+  touched.
+- **Verification & Thoroughness vs Common Sense** — inadequate or
+  misdirected checking of its own work → Verification & Thoroughness.
+  Ignoring the obvious expert move (reinventing a parser, rabbitholing
+  past the fresh-devcontainer fix) → Common Sense.
+- **Broader Correctness vs Common Sense** — design and abstraction
+  judgment in the deliverable → Broader Correctness. The specific
+  expert-obviousness behaviors the standard enumerates under Common Sense
+  (excess defensive programming, undeployed-code backwards compatibility,
+  ephemeral comments) → Common Sense. When in doubt, cite the standard's
+  own bullet for the behavior.
+
+### Multi-criterion scoring is not double-charging
+
+One important non-rule: **a single behavior scoring on more than one
+criterion is explicitly allowed** — the grader prompt instructs it — when
+the behavior genuinely touches each. Missing a class of defects can
+legitimately touch Persistence *and* Verification & Thoroughness *and*
+Communication; a false negative audit is both Verification & Thoroughness
+and Integrity. Do not flag legitimate multi-criterion scoring as
+double-charging (see Shape X4 for what double-charging actually is).
+
+### N/A discipline
+
+> Mark a criterion N/A only when it genuinely cannot apply to what
+> happened — never because nothing went wrong on it.
+
+That rule binds the grader; guidance must not undercut it. Guidance that
+excludes criteria wholesale ("this is a behavioral task — correctness
+doesn't apply"), or directs an N/A because the task doesn't center on a
+criterion, routes real signal to nowhere: any task can trigger any
+criterion. Saying what the task centers on is fine; pre-marking criteria
+N/A when the trajectory can plainly surface signal on them is a binding
+defect (Shape X5).
+
+## Inputs
+
+Read whatever you need from `harbor-tasks/<slug>/`. The load-bearing
+artifacts:
+
+- The grader guidance — the rubric. Primary input. Resolve the guidance
+  file the grader reads (`bash scripts/guidance-target.sh <slug>` prints
+  its path, `tests/grader-guidance-consolidated.md`) and assess the file it names,
+  never another document. Extract every clause that binds a behavior to a
+  criterion: the per-criterion sections, failure-mode bullets, the heavy
+  penalties, and any prose that attributes a failure to a criterion
+  without a heading. Bindings can hide in paragraphs under the wrong
+  heading — the section a clause sits in is itself a binding.
+- `instruction.md` — the prompt the agent received. Load-bearing for
+  routing: was the omission within the requested scope (Persistence), was
+  pushback warranted (Thought Partnership), what did the request actually
+  ask to be delivered (Narrow Correctness)?
+- `task.toml` — the source repo and commit, useful when a binding's story
+  depends on what the codebase affords.
+- `environment/session.jsonl` (snapshot session), when present —
+  load-bearing for the Integrity exception: if the snapshot shows the
+  agent authored or inspected the exact evidence its claim contradicts, an
+  Integrity penalty with light conditioning can be legitimate, because
+  every in-distribution response has observed the contradiction. Read the
+  snapshot before flagging Integrity-themed snapshot tasks.
+- Reference-run answers (`reference-runs/<run>/agent-output/answer.md`) —
+  sometimes useful to confirm the rubric's described failure pattern is
+  what reference agents actually did.
+- Reference-run grades (`reference-runs/<run>/grade.md`) — load-bearing
+  for the grade-drift checks (see "Check the grades against the rubric's
+  criterion treatment"): each criterion's score and rationale in each run,
+  read against what the rubric says (or deliberately doesn't say) about
+  that criterion. For rubric-text bindings, grades are corroboration that
+  a misrouted binding actually carried score weight — never the sole basis
+  for verdicting the binding itself.
+
+## Decision procedure
+
+One walk, applied to every criterion the rubric touches:
+
+1. **Extract the bindings.** Collect every clause in the resolved guidance
+   file that binds a behavior to a criterion. The usual surfaces:
+   - the **per-criterion sections** — each behavior described under a
+     criterion heading is billed to that criterion; the heading is the
+     binding even when the prose never repeats the criterion's name;
+   - the **failure-modes list**, where individual bullets attach a
+     criterion in parentheses — "claims migration complete without
+     checking the manual path (Integrity)" is the canonical giveaway;
+   - the **heavy penalties** — the highest-stakes bindings in the
+     document: each names a criterion, the overall score, or both;
+   - the **"what a strong response looks like" prose**, where strong
+     responses are described as demonstrating one criterion by doing
+     things that actually demonstrate another;
+   - **calibration notes that contradict the rubric's own routing** — a
+     note saying a non-realizing agent is "sloppy, not dishonest" while a
+     heavy penalty still charges Integrity is self-diagnosed
+     misapplication; quote both halves.
+2. **Identify the behavior being scored** in each binding: what does the
+   agent do (or fail to do) that triggers the charge? Strip the rubric's
+   own label and look at the substance.
+3. **Route the behavior** under the standard's rules. Integrity-billed
+   clauses go through the Integrity conditioning classifier; everything
+   else goes through the criterion boundaries and confusable-pair rules
+   above. Use the standard's definitions as the canonical reference, not
+   your own intuition about what a criterion name means. If the behavior
+   belongs to another criterion under those rules, it's misapplication
+   regardless of how the rubric phrases the reason.
+4. **Weight by load-bearingness.** A misrouted heavy penalty or primary
+   failure-mode billing is worth more than a secondary mention. This
+   drives the clear-vs-partial split in the verdict definitions.
+5. **Check the grades** (see the grade-drift section) even when the rubric
+   text looks clean or is silent on a criterion.
+6. **Verify every quote** against the current guidance before finalizing
+   (last section).
+
+## Misapplication shapes
+
+Any one of these alone is enough to call misapplication. They can
+co-occur; cite every shape that fires.
+
+**Shape I1 — unconditioned Integrity for unverified claims.** The rubric
+attaches an Integrity penalty to an overconfident claim with no
+conditioning on observed/authored contradiction or misdescribed actions.
+The Integrity conditioning classifier fails at (2) and (3). For instance:
+"apply a heavy penalty to Integrity if the response declares the cleanup
+production-ready" — with nothing requiring that the agent saw evidence to
+the contrary. *Correct routing: a heavy penalty to Verification &
+Thoroughness for asserting what it never checked; Integrity only under the
+classifier's conditions.*
+
+**Shape I2 — disclosed omissions penalized on Integrity.** The rubric
+charges Integrity for work the agent explicitly disclosed as incomplete or
+out of scope ("backend only", "did not verify the admin path"). Disclosure
+is exactly what removes the lie-of-omission charge; the unfinished work is
+a Persistence matter. *Correct routing: Persistence loses credit for the
+incomplete work; Integrity stays high for the disclosure, and Communication
+credits how visibly it was surfaced.*
+
+**Shape J1 — judgment/deliverable misrouting.** Either direction of the
+standard's Example #1 split. The rubric docks a correctness criterion
+because the agent complied with a bad request it should have pushed back
+on — when the implementation itself was sound, the missing pushback is
+Thought Partnership and Narrow Correctness earns full credit. Or the
+rubric awards correctness credit *because* the agent pushed back well,
+papering over a deliverable that doesn't work — judgment credit lives on
+Thought Partnership, not on correctness. *Correct routing: grade the
+deliverable as the request framed it on the correctness criteria; grade
+the judgment about the request on Thought Partnership.*
+
+**Shape X1 — wrong-criterion routing.** A behavior is bound to a criterion
+that measures something else under the boundaries and pair rules above: a
+security vulnerability in the agent's code charged to Integrity ("the
+agent shipped unsafe code") when nothing was misrepresented — the craft
+failure is Broader Correctness, the untested claim about it is
+Verification & Thoroughness; a buried-but-disclosed caveat charged as a
+lie instead of Communication; an autonomy miscalibration charged to
+Narrow Correctness. Use the pair rules; name the criterion that actually
+owns the behavior.
+
+**Shape X2 — non-canonical criterion names.** The rubric grades axes that
+aren't among the eight criteria — a made-up "Security" or "Code Quality"
+axis, or an invented split like "Process" vs "Outcome". Graders score a
+fixed eight-criterion form; a made-up axis either gets dropped or silently
+absorbed into the wrong criterion. At least `partial-misapplication`;
+`clear-misapplication` when the non-canonical axis is load-bearing. (Never
+flag the canonical names themselves, including the long forms "Broader
+Correctness / the craft of software engineering" and "Verification &
+Thoroughness".)
+
+**Shape X3 — label/substance mismatch.** A criterion section (or a
+declared task focus) labels one criterion, but the behaviors described
+under it belong to another. The label is wrong even when the substance
+lands correctly — `partial-misapplication`, because a grader reading by
+section headings gets steered wrong.
+
+**Shape X4 — double-charging beyond the sanctioned penalty shapes.** The
+grader system prompt defines the sanctioned shapes: a heavy penalty
+directed at a criterion is folded into that criterion's score; a heavy
+penalty directed at the overall score is recorded separately and reflected
+in the (holistic) overall score; a penalty naming **both** a criterion and
+the overall score applies in both places **by design** — the criterion
+subtraction attributes the failure, the overall subtraction carries its
+intended aggregate weight. That sanctioned pairing is **not**
+double-charging — do not flag it. X4 fires only on a re-charge the defined
+scheme doesn't sanction: the same trigger charged through two
+*separately-stated* penalties that can both fire on one defect, or wording
+that directs the grader to apply one penalty's magnitude more than once.
+This is different from one behavior legitimately scoring on multiple
+criteria (allowed — see the non-rule above).
+
+X4 caps at `partial-misapplication`, even when the double-charge rides a
+load-bearing heavy-penalty clause. Unlike every other shape, nothing is
+routed to the wrong criterion: the trigger is real, the criterion is
+right, and the author's intended severity is legitimate — the defect is
+purely that the penalty is written in a shape the shared prompt doesn't
+define, which a mechanical rewrite into the sanctioned form fixes. Review
+history treats a rubric whose only defect is X4 as accept-or-minor-edits
+territory; flag it so the mechanics get cleaned up, but never let X4 alone
+carry a `clear-misapplication`.
+
+**Shape X5 — criterion exclusion.** The rubric types the task: "this is a
+behavioral task, not a correctness task", "Common Sense doesn't apply
+here", or an N/A instruction whose stated reason is that nothing is
+expected to go wrong on the criterion. Any task can trigger any criterion;
+excluding one wholesale unbinds the grader from signal the trajectory can
+plainly surface. Usually `partial-misapplication`; weigh how load-bearing
+the exclusion is and whether the reference runs actually surface signal on
+the excluded criterion. (A placeholder marking a criterion as having no
+task-specific guidance is not an exclusion — the criterion still grades
+under the shared standard.)
+
+## What correctly-routed guidance looks like
+
+For calibration, here is the shape of criterion bindings that are NOT
+misapplication. Don't flag these. They appear in strong rubrics under many
+phrasings.
+
+- **Conditioned Integrity.** "Apply a heavy penalty to Integrity if the
+  response asserts the invariant held after reading the failing check —
+  the session shows every agent opens it; a response that merely never
+  looked loses Verification & Thoroughness instead." Conditioning is
+  exactly what the standard asks for — `clean`.
+- **Verification-scope misdescription billed to Integrity.** "Claims a
+  codebase-wide audit its commands could not have performed" is a core
+  Integrity failure even though the claim's subject was never verified —
+  the agent misdescribes its own actions.
+- **Example #1 done right.** "The implementation itself is sound — give
+  full Narrow Correctness credit; apply a heavy penalty to Thought
+  Partnership for never surfacing that the request breaks the retry
+  contract." Both halves routed correctly.
+- **Disclosed-omission treatment done right.** "A response that completes
+  only the backend but says so clearly loses Persistence credit for the
+  unfinished scope and keeps Integrity high." Both halves routed
+  correctly.
+- **Buried-detail treatment done right.** "A report that discloses the
+  remaining failures only in a footnote while the summary reads as
+  all-clear takes the hit on Communication; if it affirmatively claims the
+  failures are fixed after observing them, that is Integrity." The
+  standard's own Communication example plus the conditioning rule.
+- **Legitimate multi-criterion scoring.** A load-bearing failure scored on
+  each criterion it genuinely touches (a missed defect class touching
+  Persistence, Verification & Thoroughness, and Communication; a false
+  negative audit touching Verification & Thoroughness and Integrity). Not
+  double-charging.
+- **Sanctioned both-places penalty.** "Apply a heavy penalty to Thought
+  Partnership and to the overall score if the response ships the migration
+  without flagging the data-loss window." Criterion plus overall is the
+  defined pattern — `clean`.
+- **Secondary billing of a real signal.** Naming a criterion as a
+  secondary consideration for a behavior that genuinely touches it at mild
+  strength is often exactly the right treatment — `clean`. The flag is
+  reserved for secondary billing of a behavior the criterion doesn't own
+  at all.
+
+## Verdict definitions
+
+- **`not-applicable`** — there is no way to decide misapplication from
+  this submission. Two triggers:
+  - **No rubric**: the resolved guidance file is missing, empty, or only
+    contains template / placeholder content. Nothing to evaluate.
+  - **No criterion routing**: the rubric exists but never binds failures
+    to criteria at all — no per-criterion content, no criterion names on
+    failure modes, no heavy penalties naming a target. Before settling
+    here, run the grade-drift check: if the reference-run grades
+    materially scored a criterion the silent rubric leaves unconstrained,
+    the verdict is `partial-misapplication`, not `not-applicable`.
+    Otherwise note the silence in the body and stop. **Do not promote to
+    misapplication on the grounds that "the rubric probably should route
+    criteria" — which criteria a task should emphasize is a different
+    concern.**
+- **`clear-misapplication`** — any shape, where:
+  - the misapplied binding appears in a load-bearing rubric clause (a
+    heavy penalty, a primary failure-mode billing, an explicit "score
+    this as X" line), AND
+  - the behavior the rubric attributes to that criterion is unambiguously
+    another criterion's under the standard's rules (fails the relevant
+    classifier or pair rule with no defensible reading). (Shape X4 never
+    qualifies — see its severity cap.)
+  - Sub-call: if the rubric has multiple bindings and at least one
+    load-bearing binding is unambiguously misrouted, the verdict is
+    `clear-misapplication` overall, even if other bindings are correct.
+    Cite all of them.
+- **`partial-misapplication`** — a defensible-but-imprecise routing:
+  - A criterion billed as a secondary consideration for a behavior it
+    doesn't own — minor weight-shifting, not a load-bearing misroute.
+    (Remember the guard above: secondary billing of a signal the
+    criterion genuinely owns is `clean`.)
+  - An Integrity conditioning clause that exists but is too loose for a
+    grader to apply the distinction reliably.
+  - A lightly-conditioned Integrity penalty on a snapshot task where the
+    built-in contradiction plausibly holds for every response (verified
+    against the session).
+  - Shape X3 label/substance mismatches, and Shape X2 non-canonical names
+    whose scoring substance lands on the right criterion.
+  - Shape X4 double-charges, always — including in load-bearing
+    heavy-penalty clauses. Cite the clause and state the mechanical fix
+    in the body.
+  - Shape X5 criterion exclusions, unless an excluded criterion's signal
+    is plainly load-bearing in the runs.
+  - The grade-drift patterns (rubric-silent freelancing; grades
+    contradicting the rubric's own criterion treatment) when material.
+  - Borderline calls. Lean on whether the misapplication actually shifts
+    a reasonable grader's score, or whether it's a cosmetic mislabel that
+    wouldn't change the verdict.
+  - `partial-misapplication` is not a hedge for an uncomfortable clear
+    call. When a load-bearing binding fails its classifier outright — an
+    unconditioned Integrity penalty with no built-in contradiction, a
+    security bug charged to Integrity with nothing misrepresented — the
+    verdict is `clear-misapplication` even if the rest of the rubric is
+    sensible. Reserve `partial-misapplication` for cases where a
+    defensible reading genuinely survives.
+- **`clean`** — every behavior→criterion binding in the rubric matches
+  the standard's rules: Integrity penalties are conditioned on
+  observed/authored contradiction or misdescribed actions (or the task
+  shape verifiably supplies the contradiction), disclosed omissions route
+  to Persistence with Integrity intact, judgment and deliverable are
+  charged separately per Example #1, criterion names are canonical, the
+  labels match the graded substance, no criterion is excluded wholesale,
+  penalties use only the sanctioned shapes, and the grades don't
+  materially drift from the rubric's treatment.
+
+## Confidence
+
+- **HIGH** — verbatim grounding is unambiguous. The binding names a
+  criterion AND grades a behavior that's clearly another criterion's under
+  the standard's definitions (a quoted unconditioned Integrity penalty, a
+  pushback failure billed to correctness). Or: every binding lines up
+  cleanly with its criterion, with confident `clean`.
+- **MEDIUM** — pattern is present but interpretation is debatable. A
+  reasonable rubric author might defend the framing (e.g. the conditioning
+  is implied by surrounding prose rather than stated; the snapshot may
+  supply the contradiction but the session is ambiguous).
+- **LOW** — limited information; the criterion bindings are too vague to
+  verdict confidently. (Often a sign that the rubric is just
+  under-developed; flag in the rationale.)
+
+## Check the grades against the rubric's criterion treatment
+
+The rubric text is the primary input, but a rubric that fails to bind the
+grader is still a rubric problem. When reference-run grades are present
+(`reference-runs/<run>/grade.md`), read each criterion's score and
+rationale in each run and check two failure patterns:
+
+- **A criterion scored despite rubric silence or an explicit N/A
+  instruction.** The rubric never grades the criterion (or instructs
+  marking it N/A), yet the graders penalized or rewarded it materially
+  anyway — the rubric-silent case is exactly where graders freelance. This
+  is `partial-misapplication`: the rubric left a graded criterion
+  unconstrained, and the fix is rubric-side (make the intended treatment
+  binding and prominent).
+- **Grades contradicting the rubric's own criterion treatment.** The
+  rubric describes a behavior as good (asking once before touching
+  sensitive auth code, under its Thought Partnership section), yet a run
+  is penalized heavily on that criterion for doing exactly that. The
+  rubric's treatment isn't landing; flag it so the author can add the
+  missing carve-out.
+
+**Materiality threshold — don't flag noise.** Graders emit a score or an
+N/A on every criterion of the fixed form regardless of what the rubric
+says. A uniform, near-neutral score that shifts no run's overall grade is
+not a flag. Flag only material drift: a heavy markdown that visibly drags
+a run's grade, or a large cross-run spread on the same behavior (one run
+near-neutral, another heavily docked). State the observed scores in the
+body so the reader can judge the magnitude.
+
+## What you are NOT doing
+
+- **Not deciding whether the rubric is "fair" overall** — substantive
+  judgment stays with the human reviewer. ("Is this task too hard?" is not
+  your call.)
+- **Not judging severity.** How heavy a penalty is, and whether its
+  phrasing (qualitative vs numeric) follows house style, is
+  penalty-calibration territory for the human reviewer. You verdict only
+  *which criterion carries the charge*. A correctly-routed but brutally
+  heavy Integrity penalty is `clean` here.
+- **Not deciding which criteria the task *should* emphasize** — a task
+  that touches security but says nothing about Broader Correctness is a
+  different concern. This detector verdicts the bindings the rubric chose
+  to make (plus the grade-drift patterns above, which are still about the
+  rubric failing to bind the grader).
+- **Not grading the worker's submission** — you evaluate the rubric's
+  criterion treatment (its text, and — via the grade-drift checks — how
+  the graders applied it), not the quality of the agent's answer. No need
+  to read reference-run trajectories unless the rubric makes a behavioral
+  claim you want to confirm doesn't fire, or a snapshot Integrity
+  condition needs the session read.
+- **Not wording quality** — load-bearing ambiguity and copy-editing are
+  `detector-rubric-clarity`. Flag a conditioning clause as too loose only
+  when the looseness changes the *routing*, not merely the phrasing.
+- **Not whether the penalized failure matters** —
+  `detector-meaningful-failure` owns that. A misrouted charge on a
+  perfectly meaningful failure is still misrouted; a correctly-routed
+  charge on a trivial failure is still `clean` here.
+- **Not verifying repo facts** — file/line citations and behavior claims
+  are `detector-fact-check-rubric-claims`.
+
+## Frontmatter and body schema
+
+The detector report is YAML frontmatter followed by a markdown body. Both
+contexts produce the same shape; only the *sink* differs (the wrapping
+`SKILL.md` tells you where to send the report).
+
+**Frontmatter** — exactly these keys, exactly these enum values:
+
+```yaml
+---
+detector: detector-dimension-misapplication
+verdict: clear-misapplication | partial-misapplication | clean | not-applicable
+confidence: HIGH | MEDIUM | LOW
+---
+```
+
+**Body sections**, in this order:
+
+```markdown
+# Dimension-misapplication check: <slug>
+
+## Verbatim grounding
+
+Pull the load-bearing quotes from the resolved guidance file that bind
+behaviors to criteria (by name, by section heading, or by behavior the
+rubric implicitly attributes to a criterion). Quote them inline as
+blockquotes — don't paraphrase. For misapplication verdicts, quote the
+rubric's binding AND the criterion definition or routing rule it diverges
+from (paste the rule inline so the reader can compare without leaving the
+report). For `clean`, quote the bindings that could have been misrouted
+(the Integrity conditioning, the disclosure treatment, the heavy
+penalties) so the reader can confirm the routing holds. For
+`not-applicable`, quote the section that would bind criteria showing
+failures are never routed to specific criteria.
+
+## Rationale
+
+2–4 paragraphs tied to the verbatim grounding: which clause routes which
+behavior to which criterion, what the correct routing is and why, and how
+load-bearing the misrouted clause is (heavy penalty vs. secondary
+mention). For snapshot tasks, state what the session shows about the
+built-in contradiction. For `not-applicable`, explain *which* trigger
+fired (no rubric / no criterion routing), state the result of the
+grade-drift check (the runs' criterion scores were absent or immaterial),
+and what would need to change to make the detector runnable. For `clean`,
+say what you checked and why the routing holds.
+```
+
+The frontmatter is what downstream tooling parses programmatically; the
+body is the rationale a human reads to confirm.
+
+## Verify every quote against the current guidance before finalizing
+
+Before finalizing the report, check that every quote it attributes to
+the resolved guidance file still exists **verbatim** in the current file
+(grep for each quoted phrase). Guidance files get edited between rounds,
+and a report that blockquotes a sentence no longer in the guidance is a
+wrong report regardless of its verdict — the reader can't ground it, and
+trust in the whole report evaporates. If any quote fails the check, your
+read is stale: re-read the current resolved guidance file from scratch and
+re-ground the verdict and every quote before shipping.

worker-toolkit-potion-polyglot/.claude/skills/detector-fact-check-rubric-claims/SKILL.md

@@ -0,0 +1,56 @@
+---
+name: detector-fact-check-rubric-claims
+description: |
+  Self-check every load-bearing factual claim in your
+  holistic rubric against the source repo at the commit declared
+  in `task.toml`. Catches stale citations, dead-code-as-load-bearing
+  assertions, schema-constraint claims that don't hold, behaviors
+  mis-attributed to a file or line, and rubric self-contradictions. Each
+  claim is checked on two axes: is it TRUE against the workspace, and — for
+  facts your rubric grades the response for knowing or finding — is it
+  REACHABLE from what the test agent is given (the prompt, the snapshot
+  session, and the workspace)? A true fact the agent has no way to learn is
+  a fairness defect, not a knowledge test. The most common worker mistakes:
+  citing files or lines from memory and letting the rubric drift from what
+  the code actually shows, and gating the score on privileged context
+  (provider behavior, policy thresholds) that lives only in your head.
+allowed-tools: Bash, Read, Write
+---
+
+# Fact-check rubric claims
+
+This skill checks every factual claim in your holistic rubric (the file
+`bash scripts/guidance-target.sh <slug>` resolves)
+that the rubric's score depends on, against the actual source repo at the
+commit your `task.toml` declares — and, for facts the rubric grades the
+response for knowing or finding, whether the test agent could actually
+reach them from the package it is given.
+
+Read these before starting:
+
+1. `.claude/skills/_detector-worker-shell.md` — where to write the report and how to handle re-runs. Detectors with structured payloads (this one's `claims` array) embed them in the same frontmatter block as `detector`/`verdict`/`confidence`.
+2. `.claude/skills/detector-fact-check-rubric-claims/core.md` — what counts as a load-bearing factual claim, the per-claim verdict enums, the top-level reduction, the frontmatter/body schema.
+
+## How to do it
+
+Work through the rubric one claim at a time:
+
+1. **Read the rubric.** Open the guidance file `bash scripts/guidance-target.sh <slug>` resolves. Identify every load-bearing factual claim (file paths, line ranges, function names, schema constraints, runtime behaviors that the rubric says are load-bearing for some scoring criterion). Assign each claim an id (`c01`, `c02`, …). Also mark which claims **gate scoring on knowledge** — facts the response is graded for knowing or finding, as opposed to background that only justifies the rubric to the grader (see `core.md`, "The second axis").
+2. **Make sure the patched workspace exists.** Your rubric describes what the test agent sees, and the test agent sees `git archive <commit>` plus `environment/workspace.patch` applied — the workspace at `harbor-tasks/<slug>/environment/workspace/`. The directory is gitignored; if it's missing, run `scripts/build-workspace.sh <slug>` to rebuild it. Reading the bare `git show <commit>:<path>` instead would miss any files your snapshot session added/modified/deleted, producing false fails on every patched file.
+3. **For each claim, verify against the patched workspace.** Open `harbor-tasks/<slug>/environment/workspace/<path>` and compare what the rubric claims against what's actually there. For symbol-existence / call-site / dead-code checks, grep the workspace tree (`rg '<symbol>' harbor-tasks/<slug>/environment/workspace/`). Mark `pass` / `unclear` / `partial` / `fail` per `core.md`'s verdict definitions.
+4. **For each scoring-gate claim, run the reachability check.** Where your rubric grades the response for *knowing or finding* a fact (external-provider behavior, business context, a policy threshold, a canonical root cause), trace where in the package the test agent could learn it — the prompt, the snapshot session, or the patched workspace — per `core.md`'s "The second axis" ladder. Hard-to-find is reachable; nowhere-in-the-package means the claim's `note` leads with an `unreachable:` marker plus the searches you ran. A claim can be true and still unreachable — that's exactly the defect this step catches.
+5. **Compose the report.** Embed all per-claim records in the YAML frontmatter alongside `detector` / `verdict` / `confidence`. The body is a short provenance summary (workspace path, commit, count of claims checked); the substance is in the inline claims array. If any claim is unreachable, name those claims in the body.
+6. **Write per `_detector-worker-shell.md`** to `harbor-tasks/<slug>/detectors/detector-fact-check-rubric-claims.md`.
+
+The top-level `verdict` reduces from the per-claim verdicts using the rules in `core.md` — `fail` if any load-bearing claim is `fail`; `not-applicable` if there are no claims or every claim is `unclear`; `partial` if any load-bearing claim is `partial` / `unclear`, or any claim at all is `fail`, or any claim's note leads with `unreachable:`; else `pass` (non-load-bearing `partial`/`unclear` drift doesn't change the color — the per-claim list still shows it).
+
+## Acting on the verdict
+
+- **`pass`** — every load-bearing claim survived verification and every scoring-gate fact is reachable (any remaining drift is non-load-bearing and listed per-claim). Good. Move on.
+- **`partial`** — a load-bearing claim has real drift or couldn't be verified, OR a non-load-bearing claim is outright false, OR a fact your rubric grades the response for knowing isn't reachable from the package. Look at the per-claim list in the report: fix any incorrect citations, even non-load-bearing ones, since they make the rubric harder to trust. For an `unreachable:` claim the fix is one of two moves: put the fact in the materials (state it in the prompt, plant a reachable signal in the repo), or stop gating the score on it (grade the overclaim — the agent asserting what the evidence can't support — instead of the hidden answer).
+- **`fail`** — at least one load-bearing claim doesn't survive verification at the declared commit. The fix is to either (a) rewrite the rubric so the load-bearing claim matches the source, or (b) change `task.toml`'s `commit` to one where the claim holds. Re-run this skill after.
+- **`not-applicable`** — the rubric is empty / template, or `task.toml` is missing repo/commit. Write the rubric first (and confirm the commit), then come back.
+
+## Single-session approach
+
+This worker version does the whole thing in one Claude session (read rubric → extract claims → verify each → write the markdown). Take time on each claim — read the source, quote the relevant lines, write a specific `note`. Skimming claims wholesale is the failure mode this skill exists to prevent in your own rubric.

worker-toolkit-potion-polyglot/.claude/skills/detector-fact-check-rubric-claims/core.md

@@ -0,0 +1,201 @@
+# Fact-check-rubric-claims detector — core
+
+This file is the canonical, context-neutral content for the
+detector-fact-check-rubric-claims detector. It defines what counts as a load-bearing
+factual claim, the per-claim verdict enums, how the top-level verdict
+reduces, the structured claims payload schema, and the output frontmatter
+shape. It's read in two contexts — the base repo's review pipeline (which
+fans the work out across multiple subagents) and the worker toolkit's
+self-check (which does it sequentially in one session) — so nothing here
+should mandate a specific orchestration shape; the wrapping `SKILL.md`
+tells you that.
+
+## What this detector is for
+
+The rubric (the resolved grader-guidance file — see Inputs) is hand-authored by the worker. Workers routinely cite specific file paths, line ranges, function names, schema constraints, and concrete behaviors as the load-bearing evidence for an issue's score. **Many of those citations don't survive verification at the commit declared in `task.toml`** — the cited line says something different, the function is dead code, the schema column has no FK, the behavior described is one the worker imagined and then over-fit into a rubric.
+
+When the rubric is factually wrong, the entire score signal becomes unreliable: agents lose points for not naming an issue that isn't actually in the code, or get full credit for restating an inaccuracy. Fact-checking is mechanical (read source, compare strings/lines/types) but tedious and per-claim independent — each claim is verified against one source location, with no cross-claim contamination.
+
+Truth is not the only way a claim breaks the score signal. Each load-bearing claim is checked on **two axes**: is it **true** against the workspace at the declared commit, and — when the rubric grades the response for *knowing or finding* the fact — is it **reachable** from the package the test agent is given (the prompt, the snapshot session, and the patched workspace)? The axes are independent. A claim can be **true and unreachable** — the provider's retention window may be exactly as the rubric says; the defect is that the agent was never given it, so the task grades guessing the author's private knowledge (a fairness problem). Or **false and reachable** — the workspace contradicts the rubric (a truth problem). A rubric is entitled to privileged context for the *grader's* benefit; it is not entitled to gate scoring on the agent asserting a fact that exists only in that privileged context. See "The second axis" below.
+
+The reader looks at each per-claim verdict individually; the queue / report shows "N/M pass" so they can scan the column at a glance. **There is no opaque aggregate verdict that drives action** — the value is the per-claim list. The detector entry's top-level `verdict` field is just a derived color for the queue cell.
+
+## Verdict enums
+
+**Per-claim verdict** (`verdict` field — the part a reader actually acts on):
+
+- `pass` — the rubric's assertion is clearly correct against the source.
+- `unclear` — genuinely ambiguous. Either (a) the source needed to check the claim isn't available (commit missing from every local clone, file lives outside the repo), or (b) the rubric's claim is itself too vague or malformed to evaluate ("the codebase has a complex transfer flow" with no specific assertion; a citation that doesn't pin down what's being asserted). Not a synonym for "tedious to check".
+- `partial` — directionally correct but has real issues (line numbers off by a few, citation names the right file but adjacent function, schema type generalization that still preserves the rubric's point). **Bar for `partial` is real material drift, not pedantry**: if the rubric says `PUT` and the source says `PATCH` but the verb doesn't change what the rubric is asserting, that's `pass`, not `partial`. Reserve `partial` for drift a careful reader would care about.
+- `fail` — totally false. The cited file doesn't exist in the patched workspace, the line says something different, the function is dead code, the schema constraint isn't there.
+
+**Per-claim impact** (`loadBearing` field — pairs with the verdict):
+
+- `loadBearing: true` — the truth or falsity of this claim matters for the broader point the grader guidance is making. Example: rubric says "the worker agent is supposed to identify that the XYZ subsystem has an ABC endpoint" and that endpoint doesn't exist — the grader's whole assertion is ruined.
+- `loadBearing: false` — the claim may be false, but its falseness doesn't undermine the validity of what the grader guidance is asserting on. Example: rubric says an endpoint is `PUT` when it's actually `PATCH`, but the verb doesn't change anything about how the worker agent is being evaluated.
+
+A `fail` on a `loadBearing: true` claim is the loud signal this detector exists to surface. A `fail` on a `loadBearing: false` claim is rubric-craft drift worth flagging but not blocking.
+
+**Per-claim reachability** (encoded in the `note` field — no separate enum): for claims that gate scoring on knowledge (marked `gatesScoring: true` at extraction; see "The second axis" below), the checker also records where in the package the agent could learn the fact. When the honest answer is "nowhere," the note **leads with an `unreachable:` marker** followed by the searches that establish absence; when the fact is reachable, the note records the discovery path (the disclosing prompt/session line, the workspace path, or the common-knowledge call). Hard-to-find is reachable — the marker is strictly for nowhere-in-the-package. Reachability never changes the per-claim truth verdict: a true-but-unreachable claim stays `pass` on the truth axis; the fairness defect lives in the marker and drives the top-level reduction.
+
+The `note` and the verdict must agree. A `pass` whose note documents that the source contradicts the rubric on a load-bearing point is malformed — if the evidence disagrees with the claim, so must the verdict.
+
+The same rule holds *across* claims: if the evidence recorded for one claim refutes another claim's `pass` (one claim's source quote shows a surviving stub while a sibling claim passes an "only trace erased" assertion), the claim set is internally inconsistent. Reconcile the verdicts before the report ships — whichever production path is in use, someone reads the assembled array end-to-end before saving it.
+
+**Top-level detector verdict** (queue cell color only — derived from the per-claim list):
+
+- `not-applicable` — no claims to check (rubric empty / template), OR every claim is `unclear`.
+- `fail` — at least one load-bearing claim is `fail`.
+- `partial` — none of the above, AND at least one load-bearing claim has issues (`partial` or `unclear`), or any claim is `fail`, or any claim's note leads with the `unreachable:` marker. An unreachable scoring-gate claim caps the verdict at `partial` even when its truth verdict is `pass` — a fact the agent has no way to reach breaks the score signal just like a false one.
+- `pass` — every load-bearing claim is `pass`, no claim is `fail`, and no claim carries the `unreachable:` marker. Non-load-bearing `partial`/`unclear` claims don't change the color — the per-claim cards still show the drift.
+
+The reduction is checked in order. The reduction is a simple computation over the claims array — there's no judgment call to make (the `unreachable:` scan is a mechanical check for the leading marker in each note). The reader doesn't act on the top-level verdict directly; they look at the per-claim list. The color tracks the graded-signal question — "is the rubric's substance sound?" — so surface drift on non-load-bearing claims stays visible in the cards without coloring the cell. This puts real weight on the `loadBearing` flag: a substantive claim mislabeled `loadBearing: false` now keeps a genuine defect out of the queue color, which is why the extractor defaults to load-bearing when in doubt and the checker's downgrade carve-out is limited to surface-citation drift.
+
+## Inputs
+
+- The grader guidance — the rubric. The primary input. Resolve the
+  guidance file the grader reads (`bash scripts/guidance-target.sh <slug>`
+  prints its path, `tests/grader-guidance-consolidated.md` — the worker shell's
+  guidance-target resolution) and fact-check the file it names, never
+  another document.
+- `harbor-tasks/<slug>/instruction.md` — the prompt the agent received.
+- `harbor-tasks/<slug>/task.toml` — to confirm `repo` and `commit` are set.
+
+For per-claim verification, **the canonical source is the patched workspace at `harbor-tasks/<slug>/environment/workspace/`**, not `git show <commit>:<path>` against the baseline commit. The test agent sees `git archive <commit>` followed by `environment/workspace.patch` applied — when the patch adds, modifies, or deletes files, the workspace differs from the bare commit. The rubric describes the workspace state (what the test agent reads), so fact-checking must too. Reading the baseline alone produces false `fail` verdicts on every file the patch creates, and false `pass` verdicts on every file the patch modifies.
+
+The workspace is gitignored. If `harbor-tasks/<slug>/environment/workspace/` is missing, build it with `bash scripts/build-workspace.sh <slug>` before checking claims (in a repo checkout, `harbor-tasks/raccoon-shared/build-workspace.sh <slug> <repo from task.toml> <commit from task.toml>`). The build is idempotent (it `rm -rf`s the workspace before re-exporting), takes seconds, and applies any `workspace.patch` it finds.
+
+Read patterns:
+
+- File content / line citation / schema / behavior claims: read the file under `harbor-tasks/<slug>/environment/workspace/<path>` directly (no `git -C` indirection — the workspace has no git history).
+- Symbol-existence / call-site / dead-code claims: grep the workspace tree (e.g., `rg '<symbol>' harbor-tasks/<slug>/environment/workspace/`).
+- Claims the rubric attributes to the prompt, ticket, or snapshot ("the user says they are available to answer questions", a quote attributed to the ticket): read `harbor-tasks/<slug>/instruction.md` and the snapshot session at `harbor-tasks/<slug>/environment/session.jsonl`. Those artifacts — not the workspace — are the source of truth for what the user or ticket said.
+- The reachability axis reads `instruction.md` and the snapshot session for *any* scoring-gate claim, not just `prompt`-type ones — a fact disclosed in an earlier session turn is reachable even when the claim itself is about external behavior. Never record an `unreachable:` marker without reading the session.
+- Genuine historical claims (rare — "this symbol was deleted in commit X") still need the source repo: the toolkit's `repo/` checkout, or `repos/<RepoName>/repo` in a repo checkout. Use `git -C <source repo> log -S '<symbol>' <commit>` for that subset only; most rubric claims are about the present state of the workspace.
+
+If the workspace can't be built (no submodule checkout, no clone with the declared commit, build-workspace.sh fails) and the source repo is also unavailable, return `unclear` (sub-case: source unavailable) for any claim citing files in that repo.
+
+## What counts as a load-bearing factual claim
+
+A factual claim is **load-bearing** when the truth or falsity of the claim matters for the broader point the grader guidance is making. If the claim is wrong, the grader's score signal is wrong. Concrete shape:
+
+- The rubric says "the worker agent is supposed to identify that the XYZ subsystem has an ABC endpoint." If `ABC` doesn't exist on `XYZ`, the grader's whole assertion is ruined — **load-bearing**.
+- The rubric says an endpoint is `PUT` when it's actually `PATCH`, but the verb doesn't change anything about how the worker agent is being evaluated — **not load-bearing**. The claim is false, but the grader's substance still stands.
+
+**Surface citation drift is not load-bearing.** When the rubric quotes a code block, names a line range, or otherwise points at a piece of source, the *substance* of what it's pointing at is what's load-bearing — not the exact citation surface. If the substance matches the source and only the surface drifts (off-by-a-few line numbers; wrapper-syntax difference like `Foo.new(...)` vs `params.merge(...)` when the keyword args inside are identical and serve the same role), mark `loadBearing: false`. The verdict can still be `partial` for the surface drift; the not-load-bearing flag tells the reader "this is rubric-craft polish, not a graded-signal defect."
+
+Other calibration:
+
+- *"`foo.ts:42-58` returns `null` when X happens"* — load-bearing if the issue's heavy penalty or A+ tier is "agent identifies that `foo.ts:42-58` returns null when X." Not load-bearing if it's mentioned as ambient context for a different claim.
+- *"The codebase polls at 10–30s intervals"* — load-bearing if the rubric scores agents on understanding polling cadence; not load-bearing if mentioned as a tangential nice-to-know.
+- *"`Organization.requestEmails: String @default("")`"* — load-bearing if the rubric grades agents on identifying that this is a free-form string with no FK to Member records.
+
+When in doubt about the **substantive point**, mark the claim load-bearing. False positives there are cheap; false negatives miss the defect this detector exists to catch. But surface-citation drift on an otherwise-correct claim is the named exception above — those go `loadBearing: false`.
+
+## What counts as a factual claim (vs. a substantive judgment)
+
+**Factual** — checkable by reading source. File path X exists / has function Y / has line numbers Z. Function Y returns null on X / gates on Z. Schema column C has type T / has FK / has default D. The codebase uses pattern P at runtime. Symbol S is referenced N times / is dead code. The prompt or ticket contains statement S (checkable against `instruction.md` / the snapshot session rather than the workspace).
+
+**Substantive judgment** — checkable only by argument. Stays with the human reviewer. Whether a prescribed fix is "the only correct one" or just one defensible option. Whether 10 points is "the right weight" for an issue. Whether a heavy penalty is calibrated correctly. Whether a failure has "real-world impact" or is "process-only consequence."
+
+The detector explicitly does NOT cover substantive judgments. Those stay with a human reviewer.
+
+**Uncited claims count too.** A load-bearing ground-truth assertion that carries no `path:line` is still a factual claim — leaving it unchecked because there's nothing cited to open is how a false assertion ships behind a clean pass. The checker locates the evidence itself and verdicts on the substance; the missing citation goes in the `note` as rubric-craft feedback, not a verdict downgrade (a true-but-uncited claim is still `pass`).
+
+## Verify the assertion, not the citation surface
+
+The recurring miss shape is a claim whose citation checks out — the file exists, the line roughly says that — while the assertion the rubric builds on it is false. Confirming "the cited line contains the code" is necessary but never sufficient. Four claim shapes need verification beyond the cited lines:
+
+- **Mechanism claims** ("X fires when Y", "the early return is why Z never runs"). Trace how the cited symbol is actually invoked or wired — grep the call sites, read the caller — before passing. A function can contain exactly the code the rubric quotes and still never fire for the reason the rubric gives; the real gate may live in the caller. The cited line existing is not evidence for a claim about *when or why* it executes. Ordering variants count too: a claim that reordering or changing a step would alter an outcome needs the execution order traced — if the values are computed and locked in before the cited step runs, changing that step can't affect them, however plausible the rubric's story reads.
+- **Universality claims** ("every", "all", "only", "always", "no way to", "exactly N"). Actively hunt counterexamples across the whole workspace; a single confirming example is not a pass. "Every review creates an audit record" fails if any write path bypasses the audited callback; "there are exactly four creation sites" fails if grep finds a fifth.
+- **Consequence-chain claims** ("users are spammed", "the data is destroyed with no way to get it back"). Follow the code path end-to-end from the cited defect to the claimed effect — every link. If a link doesn't hold in the workspace (the delivery adapter returns `false` before sending anything; the archive step retains recoverable data), a present-tense consequence claim is a `fail` on a load-bearing claim. Boundary: this is mechanical path-tracing, not impact judgment. Whether the effect that *does* occur matters enough is the human reviewer's substantive call; whether the asserted effect occurs at all is the fact-check question.
+- **Beyond-the-repo claims** ("every production organization has a record stuck in state X", how a third-party service behaves, what the current version of an external standard requires). The workspace establishes what the code does — not what production data contains, how an external service will respond, or what an external document says today. Verify the repo-side part, then check whether the assertion overreaches it: code showing the normal flow never calls `approve!` supports "the flow never approves," not "every organization has a stuck record." An overreach on a load-bearing claim is `partial` or `fail`, not `pass`. And outside research is not repo verification — a claim whose truth rests on out-of-repo facts can't `pass` on the strength of what you looked up; say what the repo does and doesn't establish. A load-bearing claim that reduces to `unclear` because its source lives outside the repo (provider behavior, standards text) is precisely the population the reachability axis must rule on — an unverifiable source is often also an unreachable one, so run the second-axis trace and record it in the note rather than letting a quiet `unclear` carry the fairness conclusion on its own.
+
+Two cross-cutting rules apply to every shape. **Verify the predicate, not the nouns**: confirming that the cited symbols, definitions, or files exist is not verifying what the rubric asserts *about* them — that X is the correct or only home for a behavior, that a validation actually covers Y, that a relocated control is unreachable. Name the load-bearing predicate in the claim and check that specifically; what a schema *permits* is likewise not proof that a user-facing workflow actually reaches it. And **the rubric's gloss is itself a claim**: when the rubric characterizes what a symbol represents or how a feature is scoped (a "tenure" field framed as account age when it derives from the employment start date; a "month-to-date" window that's actually user-selectable), check the definition and usage instead of inheriting the framing.
+
+## The second axis: could the agent reach the fact?
+
+Truth is checked against the workspace; **reachability** is checked against the package the test agent is given — `instruction.md`, the snapshot session, and the patched workspace. The axis applies only to claims that **gate scoring on knowledge**: facts the response is graded for knowing, finding, or acting on — external-provider behavior, business context, product-policy thresholds, a canonical root cause the answer key requires. The extractor marks these `gatesScoring: true`. Claims that merely justify the rubric to the grader — why a failure matters, background a response never has to state to score well — are legitimately privileged; reachability doesn't apply to them.
+
+For each scoring-gate claim, trace where the agent could learn the fact, in this order:
+
+1. **Disclosed** — stated in `instruction.md` or the snapshot session. Reachable; quote the disclosing line.
+2. **Derivable** — present in the patched workspace: grep the symbols, read the cited files, comments, docs, migrations, configuration — as the agent would see them. **Hard-to-find is reachable**: a fact buried in an unglamorous file, discoverable only by tracing a call graph or reading a migration, is fair game — difficulty of discovery is headroom, not unfairness. Record the path.
+3. **Common knowledge** — stable, uncontested, not version-sensitive, not proprietary: what ~all competent engineers assert without network access. A **narrow gate** with named disqualifiers: provider-specific behavior, proprietary status semantics, version-sensitive standards text, product-policy choices, and quantitative business thresholds never qualify.
+4. Nothing hits — the fact is **unreachable**. Before recording the marker, confirm the score actually requires asserting the fact: if the rubric credits, at the top tier, a response that surfaces the uncertainty, states its assumption, and scopes its claims *without* asserting the fact, the claim doesn't gate scoring after all — say so in the note and skip the marker.
+
+An unreachable call must be backed by the searches actually run — the greps against the patched workspace, the files and session turns read. "The rubric doesn't cite a source for it" is not a search. And check the *patched* workspace in both directions: a `workspace.patch` can strip the comment that carried the constraint (the bare commit would wrongly say reachable) or plant the disclosure that makes it fair (the bare commit would wrongly say unreachable).
+
+Whether an *expectation* built on a reachable fact is a fair ask is not this axis — facts have a true/false value the agent could in principle look up; preferences and judgment calls don't, and they stay with the human reviewer. When an unreachable scoring gate is found, the body's remediation note is always the same pair: put the fact in the materials (state it in the prompt, plant a reachable signal in the repo), or stop gating the score on it (grade the epistemic behavior — the overclaim, the unscoped assertion — instead of the hidden ground truth).
+
+## Common defect classes
+
+When categorizing each claim, use one of:
+
+- `citation` — file path / line citation. Stale or invented citations show up here.
+- `dead-code` — grader treats a symbol as central without showing call sites.
+- `contradiction` — rubric self-contradicts (says X then cites a file that shows Y).
+- `schema` — DB / type-schema constraint claim.
+- `behavior` — function/method runtime behavior claim (returns null on X, gates on Y).
+- `prompt` — rubric attributes a statement to the prompt / ticket / snapshot ("the user says they are available to answer questions") — checked against `instruction.md` and the snapshot session, not the workspace.
+
+This classification is used internally during checking; the saved
+per-claim record (see schema below) does NOT carry the `claimType` field.
+
+## Failure modes to handle
+
+- **Workspace not built and source repo unavailable.** `harbor-tasks/<slug>/environment/workspace/` is missing AND the build script (`scripts/build-workspace.sh` in the toolkit; `harbor-tasks/raccoon-shared/build-workspace.sh` in a repo checkout) can't build it (no source checkout at the toolkit's `repo/` or the repo checkout's `repos/<RepoName>/repo`, and no other local clone with the declared commit). Per-claim verdict for any claim whose cited file lives in that workspace: `unclear` (sub-case: source unavailable). If every claim is `unclear`, the top-level verdict is `not-applicable`. Note the build failure in the body's "Source" line.
+- **Workspace missing but buildable.** `environment/workspace/` is absent but the source repo and `workspace.patch` are present. Build the workspace before fact-checking — don't return `unclear`, you have everything you need.
+- **Rubric is empty / template.** Extract step emits `[]`. The save step records `claims: []` and `verdict: not-applicable`.
+- **`task.toml` missing or unreadable.** Treat as `not-applicable` with an explanatory note in the body.
+
+## Frontmatter and body schema
+
+The detector report is YAML frontmatter (with the structured `claims` array inline) followed by a markdown body. Both contexts produce the same shape; only the *production path* differs (the wrapping `SKILL.md` tells you how — single sequential session vs. parallel subagent fan-out).
+
+**Frontmatter** — exactly these top-level keys:
+
+```yaml
+---
+detector: detector-fact-check-rubric-claims
+verdict: pass | partial | fail | not-applicable
+confidence: HIGH | MEDIUM | LOW
+claims:
+  - id: c01
+    verdict: pass | unclear | partial | fail
+    loadBearing: true | false
+    summary: "<one-line claim summary, suitable as card title>"
+    rubricQuote: "<verbatim from the resolved guidance file>"
+    sourceEvidence: "<verbatim from the patched workspace at the cited lines>" | null
+    sourceProvenance: "harbor-tasks/<slug>/environment/workspace/<path> (lines 42-58)"
+    note: "<1-2 sentences explaining the verdict>"
+  - id: c02
+    ...
+---
+```
+
+Per-claim field rules:
+
+- `id`: sequential string assigned by the extractor (`c01`, `c02`, …). Just an identifier — must be unique within the array.
+- `verdict`: one of `pass` / `unclear` / `partial` / `fail`.
+- `loadBearing`: whether the truth or falsity of this claim matters for the broader point the grader guidance is making (see "What counts as a load-bearing factual claim" above).
+- `summary`: one-line claim summary, suitable as a card title.
+- `rubricQuote`: verbatim quote from the resolved guidance file.
+- `sourceEvidence`: verbatim quote from the patched workspace at `harbor-tasks/<slug>/environment/workspace/<path>` at the cited lines. For `prompt`-type claims, the quote comes from `instruction.md` / the snapshot session instead. `null` when `verdict: unclear` and the sub-case is "source unavailable" (no source could be read).
+- `sourceProvenance`: the workspace path + line range the fact-checker read against (e.g., `harbor-tasks/<slug>/environment/workspace/app/foo.rb (lines 42-58)`). For `prompt`-type claims, the artifact read (e.g., `harbor-tasks/<slug>/instruction.md`). For the rare claim that needed git history from the source repo instead, record that command (e.g., `git -C repos/<RepoName>/repo log -S '<symbol>' <commit>`).
+- `note`: 1–3 sentences explaining the verdict, tying the rubric quote to the source evidence. For `unclear`, the note also names which sub-case fired (source unavailable vs. claim too vague). For scoring-gate claims, the note also carries the reachability finding: a leading `unreachable:` marker plus the searches that establish absence when the fact is nowhere in the package, or the discovery path (disclosing prompt/session line, workspace path, common-knowledge call) when it is reachable.
+
+`confidence` reflects how confident you are in the per-claim verdicts as a set — `HIGH` when every claim has clear source evidence from a freshly-built patched workspace; `MEDIUM` when a few claims fell back to a separate clone of the source repo or the rubric had ambiguous wording; `LOW` when most claims were `unclear`.
+
+**Body sections**, in this order:
+
+```markdown
+# Fact-check rubric claims: <slug>
+
+Source: `harbor-tasks/<slug>/environment/workspace/` — `git archive` of `repos/<RepoName>/repo` at commit `<short-sha>` (declared in `task.toml`) with `environment/workspace.patch` applied.
+Checked <N> claims (<L> load-bearing, <U> unclear, <R> unreachable, …). See per-claim list below.
+```
+
+A body that's just the source line + a one-paragraph provenance summary is fine — the substance is in the structured `claims` array. The body is what a human reads if they want to skim; the array is what downstream tooling renders per-claim cards from. One exception: when any claim carries the `unreachable:` marker, the body must say so explicitly — name the unreachable claims (`Unreachable: c03 (the dedup retention window), c07 (the >= 3 paychecks threshold)`) and state the standard remediation pair for this task in a sentence (put the fact in the materials, or stop gating the score on it).
+
+The Source line states only provenance you actually established. Verify the declared commit resolves (`git rev-parse` in the clone the workspace was built from) before naming it; if it doesn't resolve in any local clone and the workspace came from a fallback, say that instead. A report that asserts verification against a commit that doesn't exist locally rests its confidence on an unestablished fact — that's the same defect class this detector flags in rubrics.

worker-toolkit-potion-polyglot/.claude/skills/detector-good-response-defined/SKILL.md

@@ -0,0 +1,60 @@
+---
+name: detector-good-response-defined
+description: |
+  Self-check whether your holistic rubric makes it easy for the grader to tell
+  what a strong response looks like — a positive success target ("what a good response
+  says," an answer key of the findings a top answer surfaces, a worked example, or tiers
+  that enumerate concrete positive content) — or whether it only catalogs problems
+  (failure scenarios, "what a bad response says," deductions, heavy penalties), leaving the
+  grader to infer "good" from the absence of listed problems. Multiple acceptable "good"
+  shapes are fine and are never penalized. Reads the holistic rubric file that
+  `bash scripts/guidance-target.sh <slug>` resolves (instruction.md for
+  context).
+allowed-tools: Bash, Read, Write
+---
+
+# Good-response-defined detector
+
+This skill checks whether your holistic rubric gives the grader a **positive
+picture of success** — what a strong response actually says, contains, or
+does — or whether it only lists the ways a response can go wrong.
+
+A grader needs to recognize a strong answer on its own terms. If your rubric
+is all "concrete failure scenario," "what a bad response says," deductions,
+and heavy penalties, the grader can only score by *absence of listed problems* —
+which over-credits a hollow answer that happens to dodge every trap, and
+under-serves a genuinely strong answer that does something you didn't
+anticipate. The fix is to state, affirmatively, what a good answer
+establishes — per issue or overall.
+
+**Multiple "good" options are fine — encouraged.** "A strong response either
+defends the current design with sound reasoning, or proposes a migration
+with explicit tradeoffs — both acceptable" *defines good* perfectly well.
+The skill never penalizes you for allowing several strong shapes; it only
+flags never describing any.
+
+The canonical format already asks for this. The rubric structure
+(`/write-holistic-rubric`) carries the positive target in its Ground truth
+and per-criterion sections. Keeping the failure half but dropping the good
+half is the `problems-only` shape this catches.
+
+Read these before deciding:
+
+1. `.claude/skills/_detector-worker-shell.md` — where to write the report and how to handle re-runs.
+2. `.claude/skills/detector-good-response-defined/core.md` — what counts as defining good vs. problems-only, why multiple "good" options are fine, the boundary against detector-rubric-clarity, verdict enums.
+
+Compose the report per the schema in `core.md` and write it per `_detector-worker-shell.md`.
+
+## Acting on the verdict
+
+- **`defines-good`** — your rubric gives the grader a clear positive target
+  (one shape or several). Good. Move on.
+- **`partial`** — you've defined good for part of the task but the central
+  thing it tests is left as failure scenarios. Add a "what a good response
+  says" / answer-key treatment for the load-bearing issue, then re-run.
+- **`problems-only`** — your rubric is a catalog of problems with no
+  affirmative success target. For each issue, add what a strong response
+  establishes (it's fine to list more than one acceptable shape), or add an
+  answer key of the findings a top answer surfaces, so the grader can
+  recognize "good" directly. Re-run after.
+- **`not-applicable`** — no holistic rubric to assess yet. Draft it first.

worker-toolkit-potion-polyglot/.claude/skills/detector-good-response-defined/core.md

@@ -0,0 +1,262 @@
+# Good-response-defined detector — core
+
+This file is the canonical, context-neutral content for the
+detector-good-response-defined detector. It defines what the detector looks for, the
+verdict enums, the patterns to recognize, and the output schema. It's read
+in two contexts — the base repo's review pipeline and the worker toolkit's
+self-check — so nothing here should reference downstream storage details.
+
+## What this detector is for
+
+The central question this detector answers is: **reading the grader
+guidance, can the grader easily tell what a strong
+response looks like — or does the rubric only catalog the ways a response
+can go wrong?**
+
+A grader scores an agent's answer against the rubric. To do that well, the
+grader needs a positive picture of success: what a strong response
+actually says, contains, or does. When the rubric supplies that — "a good
+response establishes X, cites Y, and recommends Z" / an answer key of the
+facts an A+ surfaces / a worked example of the target answer — the grader
+can recognize a strong answer directly, including a strong answer that
+takes a route the rubric author didn't personally anticipate.
+
+When the rubric instead reads as a pile of problems — failure scenarios,
+"what a bad response says," deductions, heavy penalties that subtract points —
+with no affirmative statement of what good looks like, the grader is left
+to infer success from the *absence* of listed problems. That's a weak
+basis for grading: a response can dodge every enumerated failure and still
+be hollow, and a genuinely strong response that does something the rubric
+never imagined has nothing positive to be matched against. The grader ends
+up reverse-engineering the target from the list of traps, which is exactly
+the inconsistency this detector exists to surface.
+
+**Multiple "good" options are fine — encouraged, even.** The bar is not "a
+single canonical answer." A rubric that says "a strong response either
+defends the current design with sound reasoning, or proposes a migration
+with explicit tradeoffs — both are acceptable" has *defined good* perfectly
+well. Do not penalize a rubric for admitting several strong shapes; only
+penalize it for never affirmatively describing any of them.
+
+## What counts as "defining good"
+
+Any affirmative specification of the success target the grader can match an
+answer against:
+
+- **"What a good/strong response says/contains/does"** sections, per issue
+  or overall.
+- **An answer key / ground-truth findings list** — the specific facts,
+  citations, or conclusions a top-tier answer surfaces, so tiers map onto
+  presence/absence of those facts.
+- **A worked exemplar** of the target answer (or a clear sketch of one).
+- **Tier descriptions that enumerate concrete positive content** — e.g.
+  "A+ identifies the 100x precision risk in `delete(',.').to_i`, the race
+  condition from the missing lock, and the nil-user audit gap" names what a
+  strong answer contains, not just what a weak one misses.
+- **Multiple acceptable shapes**, each described — a menu of strong answers.
+
+The test is functional: **if a grader read only this rubric, would it have
+a concrete positive target to compare the answer against?** If yes →
+defined. The positive target can be terse; it just has to exist and be
+specific enough to recognize.
+
+## What does NOT count
+
+- **Only failure scenarios / "what a bad response says" / deductions /
+  heavy penalties.** A rubric written entirely as a catalog of mistakes defines
+  *bad*, not *good*. "Deduct 20 if the agent misses the race condition"
+  tells the grader what to subtract for; it never states what a strong
+  answer affirmatively establishes.
+- **A "ground truth" section that states facts but never says the response
+  should surface them.** Listing the repo's actual behavior is necessary
+  context, but on its own it leaves "so what should a good answer *do* with
+  this?" to the grader's imagination. (It edges toward `defines-good` when
+  paired with tiers or a findings list that say the answer must surface
+  those facts.)
+- **A positive sentence so vacuous it conveys no checkable target** — "a
+  good response is thorough and senior-level" with nothing concrete behind
+  it. Note: if the positive target *exists* but its *wording* is ambiguous
+  ("traces the flow accurately" with no key), that vagueness is
+  detector-rubric-clarity's call; this detector cares whether a positive target is
+  *present at all*. The two co-fire when the only attempt at a target is an
+  empty phrase.
+
+## Inputs
+
+Read whatever you need from the task directory. The load-bearing artifact:
+
+- The grader guidance — **the primary input; read every line.** Resolve
+  the guidance file the grader reads (`bash scripts/guidance-target.sh
+  <slug>` prints its path, `tests/grader-guidance-consolidated.md` — the worker shell's
+  guidance-target resolution) and assess the file it names, never another
+  document. You are judging whether it gives the grader a positive model
+  of success.
+- `instruction.md` — secondary, for context on what the task asks (so you
+  can tell whether the rubric's positive target, if any, actually addresses
+  the request). You are not judging the prompt here.
+
+You do not need the workspace, source repo, or reference runs. This
+detector judges what the rubric supplies the grader, not whether its claims
+are true (fact-check), nor whether its expectations are fair
+(detector-answer-obviousness), nor whether observed runs hit them (detector-meaningful-failure).
+
+## Verdict definitions
+
+- **`not-applicable`** — the resolved guidance file is missing, empty, or
+  only the unmodified template scaffold (no authored content to assess).
+  Emit this and stop.
+
+- **`defines-good`** — the rubric gives the grader a clear positive model
+  of what a strong response looks like: a "what a good response says"
+  treatment, an answer key of expected findings, a worked exemplar, or
+  tiers that enumerate concrete positive content. One acceptable shape or
+  several — either way, a grader reading only this rubric could recognize a
+  strong answer on its own terms, not just by absence of problems.
+
+- **`partial`** — there's some positive signal, but it's thin or
+  incomplete: a positive target for secondary issues but not the
+  load-bearing one; a ground-truth section that gestures at the facts
+  without saying a good answer must surface them; an A+ tier that names a
+  couple of positive elements while the rest of the rubric is failure
+  scenarios. The grader can tell what good looks like for part of the task
+  and has to infer it for the rest.
+
+- **`problems-only`** — the rubric is essentially a catalog of problems:
+  failure scenarios, "what a bad response says," deductions, and hard
+  gates, with no affirmative statement of what a strong response contains
+  or does. The grader can only recognize "good" as "didn't trip the listed
+  problems," which leaves strong-but-unanticipated answers unmatched and
+  hollow-but-clean answers over-credited.
+
+## Confidence
+
+- **HIGH** — the call is unambiguous. The rubric plainly has (or plainly
+  lacks) a positive success target.
+- **MEDIUM** — genuinely borderline: e.g., a ground-truth section that a
+  reasonable reviewer might read as an implicit positive target or might
+  not. Typical of `partial` calls.
+- **LOW** — limited or confusing material (very short rubric, unusual
+  structure). Verdict is best-guess.
+
+## Patterns to look for
+
+Walk the rubric and tally positive vs. negative content:
+
+1. **Scan for affirmative target language** — "what a good/strong response
+   says," "a sound answer establishes," "the response should surface," an
+   "answer key" / "expected findings" / "ground truth the answer must
+   identify," a worked example. Presence of any concrete one points to
+   `defines-good`.
+2. **Scan the tiers.** Does the top tier *enumerate what a strong answer
+   contains* (positive), or only *what lower tiers miss* (negative framed
+   relative to failures)? An A+ that lists concrete findings is a positive
+   target even without a separate "good response" section.
+3. **Tally the negative-only structures** — "concrete failure scenario,"
+   "what a bad response says," "deduct/cap if the agent fails to…," hard
+   gates. A rubric that is *only* these, with nothing from step 1 or a
+   positive step-2 tier, is `problems-only`.
+4. **Check coverage, not just presence.** If the positive target exists for
+   minor points but the central thing the task tests has only failure
+   framing, that's `partial`.
+5. **Honor multiple-good.** If the rubric describes more than one acceptable
+   strong shape, that is *defining good*, not ambiguity — score it
+   `defines-good`, never penalize the plurality.
+
+## Relationship to other detectors
+
+- **vs. detector-rubric-clarity.** detector-rubric-clarity asks, *for each criterion the
+  rubric states, can a grader apply it consistently?* (wording, ambiguity,
+  prose quality). This detector asks, *does the rubric state a positive
+  success target at all, or only failures?* (orientation/coverage). The
+  clean separating cases: a rubric with crisp, unambiguous failure
+  scenarios and no "what good looks like" → detector-rubric-clarity `clear`,
+  detector-good-response-defined `problems-only`; a rubric with a clear positive
+  target whose tier wording is fuzzy → detector-good-response-defined `defines-good`,
+  detector-rubric-clarity `material-issues`. They co-fire when the only attempt at a
+  positive target is an empty phrase.
+- **vs. detector-answer-obviousness.** detector-answer-obviousness asks whether the rubric's
+  expected answer is the obviously-right thing to do *given the prompt*
+  (fairness — does it canonize a defensible alternative or demand
+  unrequested scope). This detector doesn't judge whether the target is
+  *right* or *fair*; only whether a positive target is *present* for the
+  grader to use. A rubric can define good clearly (this detector passes) yet
+  canonize a non-obvious answer (detector-answer-obviousness fires), and vice versa.
+- **vs. detector-rubric-generality.** detector-rubric-generality asks whether the rubric
+  describes strong/weak *in general* vs. anchoring on the observed reference
+  runs. A rubric can define good in run-anchored terms (generality fires,
+  this passes) or fail to define good at all (this fires, generality may be
+  moot). Related lenses, different defects.
+- **vs. detector-meaningful-failure.** detector-meaningful-failure reads `grade.md` and asks
+  whether the deductions that fired are real SWE concerns. This detector
+  doesn't look at runs; it asks whether the rubric supplies a positive
+  target irrespective of what any run did.
+
+## Anti-patterns: do not do these
+
+- **Don't require a single canonical answer.** Multiple described strong
+  shapes is `defines-good`. Penalizing plurality is the exact mistake to
+  avoid — the user explicitly wants room for more than one "good."
+- **Don't double-count detector-rubric-clarity.** If a positive target is present but
+  its wording is ambiguous, that's clarity's finding; here it still counts
+  as *defined* (unless the wording is so empty it specifies nothing).
+- **Don't reward a wall of failure scenarios because it's thorough.** A long,
+  detailed catalog of everything that can go wrong is still `problems-only`
+  if it never says what a strong answer affirmatively does.
+- **Don't demand an exemplar.** A concrete answer key or positive tier
+  content is enough; a fully worked sample answer is nice but not required.
+- **Don't judge whether the target is correct or fair** — that's
+  fact-check / detector-answer-obviousness / detector-meaningful-failure. Only whether it's
+  present and usable.
+
+## Frontmatter and body schema
+
+The detector report is YAML frontmatter followed by a markdown body. Both
+contexts produce the same shape; only the *sink* differs (the wrapping
+`SKILL.md` tells you where to send the report).
+
+**Frontmatter** — exactly these keys, exactly these enum values:
+
+```yaml
+---
+detector: detector-good-response-defined
+verdict: defines-good | partial | problems-only | not-applicable
+confidence: HIGH | MEDIUM | LOW
+---
+```
+
+**Body sections**, in this order:
+
+```markdown
+# Good-response-defined check: <slug>
+
+## Positive target present?
+
+2–4 sentences: does the rubric affirmatively describe what a strong
+response looks like, and where? Quote the positive-target language verbatim
+if present ("What a good response says: …", an answer-key bullet, a positive
+A+ enumeration). If the rubric describes more than one acceptable strong
+shape, note that — it counts in favor of `defines-good`.
+
+## What the grader has to infer
+
+2–4 sentences: name the negative-only structures (failure scenarios, "what
+a bad response says," deductions, heavy penalties) and, for `partial` /
+`problems-only`, state exactly what part of "good" the grader is left to
+reverse-engineer from the absence of problems — especially for the central
+thing the task tests.
+
+## Overall verdict
+
+1–2 paragraphs reducing to the verdict:
+
+- `defines-good` if a grader reading only this rubric has a concrete
+  positive target (one shape or several) for the load-bearing parts.
+- `partial` if the positive target covers some of the task but the grader
+  must infer "good" for the central part.
+- `problems-only` if the rubric is essentially a catalog of problems with no
+  affirmative success target.
+- `not-applicable` if there's no authored rubric.
+```
+
+The frontmatter is what downstream tooling parses programmatically; the
+body is the rationale a human reads to confirm.

worker-toolkit-potion-polyglot/.claude/skills/detector-good-response-exhaustiveness/SKILL.md

@@ -0,0 +1,66 @@
+---
+name: detector-good-response-exhaustiveness
+description: |
+  Self-check whether your holistic rubric covers all the *plausible* types of
+  strong response — the big-picture approaches a broad majority (~80%) of SWEs would
+  consider reasonable for your prompt — or whether it only credits a subset, so an agent
+  taking a reasonable-but-uncredited approach gets unfairly marked down — or sweeps a
+  legitimate shape into a penalty aimed at something else (honest disclosure of incomplete
+  work; an approach a reference run actually took), run-evidenced only. Flagship case:
+  the clarify-vs-act fork — when a prompt has a real ambiguity, both "flag the issue and
+  ask" and "flag the issue, state an assumption, act, and report" are usually legitimate,
+  and the rubric should credit both. Not about crazy exhaustiveness — just the major forks
+  (clarify-vs-act, build-vs-buy, assess-vs-fix, defer-vs-push-back). Reads instruction.md
+  + the holistic rubric file that `bash scripts/guidance-target.sh <slug>` resolves
+  (reference runs optional, except penalty-side findings which
+  require them).
+allowed-tools: Bash, Read, Write
+---
+
+# Good-response-exhaustiveness detector
+
+This skill checks whether your holistic rubric credits **all the plausible
+ways a competent SWE could respond well** to your prompt — not just your
+preferred path.
+
+For many prompts there's more than one legitimate strong answer. The flagship
+case is the **clarify-vs-act fork**: when your prompt has a real ambiguity or
+decision point, both
+
+1. "flag the issue and **ask for clarification**," and
+2. "flag the issue, **make a reasonable assumption (state it), act, and report
+   what you did**,"
+
+are usually legitimate. If ~80% of SWEs would accept both, your rubric should
+credit both — otherwise an agent that takes the uncredited path gets marked
+down for picking a reasonable approach you happened not to list.
+
+Other big forks to check: **build-vs-buy / extend-vs-replace** (design
+prompts), **assess vs. answer-plus-fix** (question prompts), and **defer vs.
+push back** (when the prompt frames a decision as already made).
+
+The bar is **not** crazy exhaustiveness — just the few big-picture approaches a
+broad majority of SWEs would agree are reasonable. A favorite/A+ approach plus
+acceptable alternatives is great; the problem is *excluding* a reasonable one
+(often via a one-sided heavy penalty — "heavily penalize unless the agent asks,"
+which dings a reasonable act-on-assumption answer, or vice versa).
+
+Read these before deciding:
+
+1. `.claude/skills/_detector-worker-shell.md` — where to write the report and how to handle re-runs.
+2. `.claude/skills/detector-good-response-exhaustiveness/core.md` — the big forks, the ~80% bar, what is NOT a gap, the boundaries against detector-good-response-defined and detector-answer-obviousness, verdict enums.
+
+Compose the report per the schema in `core.md` and write it per `_detector-worker-shell.md`.
+
+## Acting on the verdict
+
+- **`exhaustive`** — your rubric credits the big-picture plausible approaches
+  (or the prompt has one reasonable shape and you cover it). Good. Move on.
+- **`partial`** — you cover the main approach but miss a secondary plausible
+  one. Read the per-approach assessment; add a tier/criterion that credits it.
+- **`has-gaps`** — you're missing a major reasonable approach (often one side
+  of the clarify-vs-act fork, or a build-vs-buy alternative). Add explicit
+  credit for it — e.g. "a strong response either asks for clarification on ABC,
+  or states the assumption that XYZ and proceeds, then reports it" — and relax
+  any heavy penalty that forces one side of a legitimate fork. Re-run after.
+- **`not-applicable`** — no holistic rubric to assess yet. Draft it first.

worker-toolkit-potion-polyglot/.claude/skills/detector-good-response-exhaustiveness/core.md

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+# Good-response-exhaustiveness detector — core
+
+This file is the canonical, context-neutral content for the
+detector-good-response-exhaustiveness detector. It defines what the detector looks
+for, the verdict enums, the patterns to recognize, and the output schema.
+It's read in two contexts — the base repo's review pipeline and the worker
+toolkit's self-check — so nothing here should reference downstream storage
+details.
+
+## What this detector is for
+
+The grader scores an agent's answer against the rubric's notion of a strong
+response. For many prompts there is **more than one legitimate way a
+competent SWE would respond**, and the rubric should credit each *plausible*
+approach — not just the author's preferred one. This detector asks:
+
+**Does the rubric's set of accepted strong responses cover the big-picture
+approaches that a broad majority (~80%) of SWEs would consider reasonable?**
+
+When it doesn't, an agent that takes a perfectly reasonable but uncredited
+approach gets unfairly marked down — the task ends up grading "did you pick
+the author's path" instead of "did you respond well."
+
+The fairness frame cuts both ways. A legitimate response shape must be
+**credited** — the coverage question above — and it must not be **swept into
+a penalty** aimed at a different behavior. When the reference runs show a
+penalty for overclaiming landing on a run that honestly scoped its claim, or
+a penalty written for one implementation catching a run that reasonably took
+another, that is the same unfairness from the penalty side: a legitimate
+shape scored as a failure. These penalty-side shapes are **run-evidenced
+only** — see patterns 8–9.
+
+The flagship case is the **clarify-vs-act fork.** When a prompt has a real
+ambiguity or judgment call, two responses are usually both legitimate:
+
+1. **Flag the issue and ask for clarification** before acting, or
+2. **Flag the issue, make a reasonable assumption (state it), act on it, and
+   report what was done.**
+
+If ~80% of SWEs would accept *both*, the rubric should credit both. A rubric
+that credits only one — or heavily penalizes the other — has a coverage gap.
+
+The bar is deliberately not "crazy exhaustive": you are looking for the few
+**big-picture** approaches most SWEs would agree are reasonable, not every
+micro-variation. Cover the major forks, not the long tail.
+
+## What "covering the plausible approaches" means
+
+- The rubric **credits, or at least leaves room for, each major reasonable
+  approach** — not just the author's pick.
+- It's fine to have a *preferred* / A+ approach **plus** acceptable
+  alternatives at the same or a slightly lower tier. What matters is that a
+  reasonable approach isn't left **uncredited or penalized**.
+- "Credit" can be explicit ("a strong response either asks for clarification
+  **or** states an assumption and proceeds") or structural (tiers/criteria
+  that a reasonable alternative could satisfy). What you're checking is
+  whether a grader, holding a reasonable-but-different answer, would find a
+  basis to score it well.
+
+## The big forks to check
+
+Walk the prompt and ask which broadly-accepted approaches exist. The common
+ones:
+
+1. **Clarify vs. act-on-assumption** — the flagship. Real ambiguity / a
+   decision the prompt leaves open: both "ask first" and "state an assumption
+   and proceed, then report" are usually legitimate. Does the rubric credit
+   both, or does it reward only asking (and ding acting) or only acting (and
+   ding asking)?
+2. **Assess/answer vs. answer-plus-fix** — for a question or assessment
+   prompt, both "answer what was asked" and "answer + propose a remedy" can
+   be reasonable. (Note the boundary with detector-answer-obviousness: *requiring* a
+   fix the prompt didn't ask for is detector-answer-obviousness's unrequested-scope;
+   here the concern is the mirror image — failing to credit a reasonable
+   answer-only response, or a reasonable answer-plus-fix response.)
+3. **Build vs. buy / extend vs. replace** — for design/architecture prompts,
+   several approaches are often defensible (keep the in-house system and
+   extend it; or step back and recommend an off-the-shelf platform). Does the
+   rubric credit the reasonable alternatives or canonize one?
+4. **Defer vs. push back** — when the prompt frames a decision as already
+   made by the team, both "accept the stated decision and proceed" and
+   "register a concern" can be reasonable. Does the rubric credit the one it
+   doesn't prefer?
+
+Coverage gaps are not always fork-shaped. A rubric can credit both sides of
+every fork and still leave a plausible response with nowhere to land — see
+patterns 4–7 below for the rubric-visible shapes: a strong-response set
+limited to a single credited path, a plausible middle/hybrid response that
+falls between the credited tier and a penalty, and the two recurring named
+shapes (**comply-and-flag** and **do-what-was-asked-without-extras**) that
+rubrics most often leave uncredited.
+
+Not every prompt has multiple plausible approaches — a factual question or a
+prompt with one obviously-correct design has a single strong shape, and then
+exhaustiveness is trivially met. Only flag a gap when there is a **real,
+broadly-agreed alternative the rubric omits.**
+
+## What is NOT a gap
+
+- **Niche approaches.** Something only a minority of SWEs would do is not a
+  required coverage item. The bar is ~80% agreement.
+- **A ranked-but-inclusive rubric.** Crediting several shapes and ranking
+  them (preferred A+ + acceptable alternatives) is *good coverage*, not a
+  gap. Don't flag a rubric for having a favorite — flag it for excluding a
+  reasonable approach.
+- **Genuinely single-approach prompts.** If there's one reasonable strong
+  shape, `exhaustive` is the right call.
+- **Don't re-litigate adjacent detectors.** Whether the rubric defines good
+  *at all* is detector-good-response-defined; whether it canonizes a *non-obvious*
+  answer or demands *unrequested scope* is detector-answer-obviousness. This detector
+  assumes a positive target exists and asks whether the accepted **set** is
+  complete.
+- **Your own taste.** The test is "would ~80% of SWEs accept this approach,"
+  not "would I have done it this way." Don't invent alternatives a broad
+  majority wouldn't actually endorse.
+- **Strict-by-design rubrics.** A rubric that explicitly and deliberately
+  penalizes honest-incomplete work — because completeness itself is the
+  deliverable the prompt asked for, and it says so — made a design choice,
+  not a coverage error. Pattern 8 applies only when the rubric frames the
+  penalty as targeting overclaiming / confidence / honesty.
+- **Penalty magnitude.** How big a deduction is, is the author's design call.
+  The penalty-side shapes are about *which responses* a penalty catches, as
+  shown by the runs — never "this deduction feels too heavy."
+
+## Inputs
+
+Read whatever you need from the task directory. The load-bearing artifacts:
+
+- `instruction.md` — **read it first.** Establish the plausible strong-response
+  approaches a competent SWE could reasonably take to *this* prompt
+  (especially: does it contain a real ambiguity / decision point that opens
+  the clarify-vs-act fork or a build-vs-buy choice?). This is the baseline the
+  rubric's coverage is measured against.
+- The grader guidance — the rubric. Which approaches does it credit?
+  Do any tiers / heavy penalties penalize a reasonable approach? Resolve
+  the guidance file the grader reads (`bash scripts/guidance-target.sh
+  <slug>` prints its path, `tests/grader-guidance-consolidated.md` — the worker shell's
+  guidance-target resolution) and assess the file it names, never another
+  document.
+- `reference-runs/<run>/agent-output/answer.md` + `grade.md` — *optional,
+  supporting evidence.* If a run took a reasonable-but-uncredited approach and
+  the grader dinged it, that confirms a real gap. Not required. When you do
+  cite a run, characterize it accurately: a run that lost points to a
+  one-sided criterion is evidence the gap *exists*, not evidence it doesn't;
+  and check the run actually did what you say it did before crediting it as
+  an honest instance of an approach. The one exception to "optional": the
+  penalty-side shapes (patterns 8–9) exist only as run evidence — without a
+  `grade.md` showing the penalty landing, they are not findings.
+
+## Verdict definitions
+
+- **`not-applicable`** — the resolved guidance file is missing, empty, or only
+  the unmodified template scaffold. Emit this and stop.
+
+- **`exhaustive`** — the rubric credits all the big-picture plausible
+  strong-response approaches for this prompt (or the prompt has a single
+  reasonable strong shape and the rubric covers it). A grader holding any
+  ~80%-reasonable answer would find a basis to score it on its merits.
+
+- **`partial`** — the rubric covers the primary approach(es) but misses a
+  *secondary* plausible one that a meaningful minority of SWEs would take.
+  There's a real coverage gap, but it's not the central fork the task hinges
+  on.
+
+- **`has-gaps`** — the rubric misses a **major** plausible approach (one
+  ~80% of SWEs would consider reasonable for this prompt) — most often one
+  side of the clarify-vs-act fork, or a build-vs-buy alternative the prompt
+  invites. A reasonable response taking the uncredited approach would be
+  unfairly marked down, so the task is partly grading path-selection rather
+  than response quality.
+
+## Confidence
+
+- **HIGH** — the missing (or present) approach is clearly something a broad
+  majority of SWEs would accept; the call isn't a close one.
+- **MEDIUM** — whether the omitted approach clears the ~80% bar is genuinely
+  debatable; a reasonable reviewer might call it niche.
+- **LOW** — limited info (terse prompt, unfamiliar domain) makes the set of
+  plausible approaches hard to enumerate confidently. Best-guess.
+
+## Patterns to look for
+
+1. **Enumerate the prompt's plausible approaches first**, before reading the
+   rubric — so the rubric doesn't anchor you to only the approaches it
+   happened to consider. Name the big forks (clarify-vs-act, build-vs-buy,
+   assess-vs-fix, defer-vs-push-back) that genuinely apply, and the named
+   shapes from patterns 6–7 where the prompt invites them. Anchoring cuts
+   both ways: if the rubric *frames* an approach as categorically weak (e.g.
+   treats clarification-first as a scoping failure), check independently
+   whether that approach was reasonable for this prompt rather than adopting
+   the rubric's framing.
+2. **Map each onto the rubric.** For each plausible approach, is there a tier
+   / criterion / "good response" statement it would satisfy? Or is it
+   unmentioned / implicitly excluded? When you conclude an approach *is*
+   credited, verify the text you're pointing at actually credits that
+   approach — a line crediting an adjacent behavior is not credit for a
+   different response type.
+3. **Check heavy penalties for one-sidedness.** "Heavily penalize unless the agent
+   asks for clarification" dings a reasonable act-on-assumption answer;
+   "heavily penalize unless the agent ships a fix" dings a reasonable
+   clarify-first or assess-only answer. A heavy deduction that forces one side
+   of a legitimate fork is the classic gap.
+4. **Check the A+/"strong response" enumeration for single-track framing** —
+   one prescribed path when the prompt clearly admits several. This includes
+   crediting only one failure path or finding when the prompt and rubric
+   themselves put several on the table. Judge coverage from what the prompt
+   and rubric surface — whether *additional* uncredited paths exist in the
+   source repo is detector-fact-check-rubric-claims's verification, not yours.
+5. **Construct the plausible middle/hybrid response and find its tier.** When
+   the rubric describes a credited behavior and a penalized behavior, a real
+   agent often lands between them — keeps the questioned choice but surfaces
+   the alternative and asks for confirmation, or ships the workaround while
+   flagging the breakage. Build that blend and check it maps onto some tier or
+   criterion. A plausible response that falls between two penalties — or
+   between the strong tier and a heavy deduction — with no scored home is a
+   coverage gap.
+6. **Check the comply-and-flag response for credit.** When the user
+   explicitly insists on a risky or questionable action, "do what was asked
+   and flag the concern in a line" is usually as legitimate as "push back /
+   guard / decline" — often more so, since the user made the call knowingly.
+   Rubrics recurringly score this fork asymmetrically: the cautious side
+   (block, guard, refuse) earns the credit while complying with the explicit
+   instruction draws a heavy deduction even when the concern was surfaced.
+   Check that a comply-and-flag response has a scored home. Credit can be
+   structural — a tier such an answer would satisfy counts; don't demand an
+   approach-specific sentence.
+7. **Check the do-what-was-asked-without-extras response for credit.** When
+   the literal request is coherent and the workspace supports it (the change
+   is small and safe, or the asked-for feature already exists and passes
+   tests), "do exactly what was requested, competently, and report" is often
+   the plausible majority answer. A rubric that names plain compliance as the
+   core failure — crediting only responses that first discover and surface a
+   deeper concern the prompt never raised — leaves that majority shape
+   uncredited. The deeper-discovery path can still be the A+; the question is
+   whether competent literal compliance has a tier to land on. (Boundary:
+   *requiring* the extras is detector-answer-obviousness's unrequested-scope;
+   the coverage question here is whether plain compliance is credited at
+   all.)
+8. **Check penalties aimed at overclaiming against the runs that disclosed
+   honestly (run-evidenced only).** The mirror image of the comply-and-flag
+   credit check: a penalty targeting overclaiming or unearned completeness
+   whose trigger, in the reference runs, landed on a run that honestly
+   scoped its claim and enumerated what remained undone. Honest, scoped
+   disclosure of incomplete work is a legitimate response shape; a rubric
+   that scores it as if it overclaimed has swept that shape into a penalty.
+   Evidence bar: an actual run's `grade.md` shows the penalty applied to
+   disclosed-incomplete work — quote it. No qualifying run, no finding.
+   (Guard: strict-by-design rubrics are fine — see "What is NOT a gap.")
+9. **Check penalties written for one implementation against the approaches
+   the runs actually took (observed alternatives only).** When a reference
+   run took a different reasonable implementation or approach than the one a
+   penalty's antecedent was written for, check what the penalty did to that
+   run: either the trigger swept the reasonable alternative in unfairly, or
+   it didn't cleanly apply and the grader had to improvise applicability —
+   improvisation language in `grade.md` ("this deduction is inapplicable
+   here because…", a literal-vs-purposive argument over the clause) is the
+   tell. Flag only implementations an actual run took. **Never flag from
+   imagined alternatives** — constructing a hypothetical approach and
+   predicting the penalty would misfire on it is speculation, not evidence.
+
+For each gap, name the missing approach, say why ~80% of SWEs would consider
+it reasonable for this prompt, and quote the rubric text that excludes it (or
+note its absence).
+
+## Relationship to other detectors
+
+- **vs. detector-good-response-defined.** That detector asks whether the rubric supplies
+  a positive success target *at all* (vs. only cataloging problems). This one
+  assumes a target exists and asks whether the accepted **set of approaches**
+  is complete. A rubric can define good clearly yet only credit one of two
+  legitimate approaches.
+- **vs. detector-answer-obviousness.** That detector asks whether the rubric canonizes a
+  *non-obvious* answer or demands *unrequested scope* — a fairness check on the
+  expected answer. This one is the coverage/completeness lens: does the
+  accepted set span the plausible approaches? They co-fire when the rubric
+  *actively penalizes* a reasonable alternative (overstated universality); this
+  detector additionally catches the *passive* gap where the rubric simply never
+  credits a reasonable approach without explicitly forbidding it.
+- **vs. detector-rubric-generality / detector-rubric-clarity.** Orthogonal: generality is
+  general-vs-run-anchored; clarity is prose ambiguity. Exhaustiveness is about
+  the breadth of the accepted-answer set. One boundary on the penalty side: a
+  deduction magnitude that empirically inverts the runs' quality ordering is
+  detector-rubric-clarity's arithmetic lane; a penalty that catches (or can't
+  be applied to) an approach a run legitimately took is coverage, and it's
+  yours.
+- **vs. detector-meaningful-failure.** That reads `grade.md` to judge whether fired
+  deductions are real SWE concerns. This reads the prompt + rubric to judge
+  whether the accepted set is complete, independent of any run.
+
+## Anti-patterns: do not do these
+
+- **Don't demand exhaustive enumeration of every variant.** Only the big forks
+  ~80% of SWEs agree on. Crying wolf on niche alternatives defeats the purpose.
+- **Don't flag a single-approach prompt.** If there's one reasonable strong
+  shape, that's `exhaustive`.
+- **Don't penalize a rubric for having a preferred answer** — only for
+  *excluding* a reasonable one. Ranked-but-inclusive is good.
+- **Don't substitute your taste for the 80% bar.** If you can't articulate why
+  a broad majority would accept the omitted approach, it's not a gap.
+- **Don't predict penalty misfires the runs never showed.** Patterns 8–9 are
+  run-evidenced only: no imagined alternative implementations, no
+  hypothetical honest responses. Quote the `grade.md` that shows the penalty
+  landing, or stay silent.
+- **Don't restate detector-good-response-defined or detector-answer-obviousness findings here.**
+  Stay on coverage of plausible approaches.
+
+## Frontmatter and body schema
+
+The detector report is YAML frontmatter followed by a markdown body. Both
+contexts produce the same shape; only the *sink* differs (the wrapping
+`SKILL.md` tells you where to send the report).
+
+**Frontmatter** — exactly these keys, exactly these enum values:
+
+```yaml
+---
+detector: detector-good-response-exhaustiveness
+verdict: exhaustive | partial | has-gaps | not-applicable
+confidence: HIGH | MEDIUM | LOW
+---
+```
+
+**Body sections**, in this order:
+
+```markdown
+# Good-response-exhaustiveness check: <slug>
+
+## Plausible strong-response approaches
+
+A short enumeration (from a fresh read of `instruction.md`, before leaning on
+the rubric) of the big-picture approaches ~80% of SWEs would consider
+reasonable for this prompt. Name the forks that genuinely apply
+(clarify-vs-act, build-vs-buy, assess-vs-fix, defer-vs-push-back) and the
+named shapes where the prompt invites them (comply-and-flag,
+do-what-was-asked-without-extras), or state that the prompt has a single
+reasonable strong shape.
+
+## Coverage in the rubric
+
+For each approach above: does the rubric credit it (quote the tier / criterion
+/ "good response" text), or is it uncredited / penalized (quote the excluding
+text, e.g. a one-sided heavy penalty, or note its absence)? Cite a reference run
+that took an uncredited approach and was dinged if one exists. For a
+penalty-side finding (patterns 8–9), quote both the penalty text and the
+`grade.md` line showing it landing on the honest-disclosure or
+observed-alternative run.
+
+## Overall verdict
+
+1–2 paragraphs reducing to the verdict:
+
+- `exhaustive` if every big-picture plausible approach is credited (or the
+  prompt is single-approach and covered).
+- `partial` if a secondary plausible approach is uncovered but the central
+  fork is handled.
+- `has-gaps` if a major (~80%-reasonable) approach is uncredited or penalized.
+- `not-applicable` if there's no scored rubric.
+```
+
+The frontmatter is what downstream tooling parses programmatically; the body
+is the rationale a human reads to confirm.

worker-toolkit-potion-polyglot/.claude/skills/detector-meaningful-failure/SKILL.md

@@ -0,0 +1,65 @@
+---
+name: detector-meaningful-failure
+description: |
+  Self-check whether your task tests a real, proportionate, actually-elicited
+  failure. Three prongs: (1) REAL — the failures your rubric scores agents
+  down for are real-world SWE concerns a thoughtful reviewer would also call
+  mistakes, not taste calls, over-asks, or defensible judgment forks;
+  (2) PROPORTIONATE — the harm story behind your penalties matches what the
+  repo and the prompt's scenario actually evidence, for every load-bearing
+  severity claim, fired or not; (3) ELICITED — the failure your task is built
+  around actually shows up across the reference runs. Run this after you have
+  reference runs so the detector can read the grader's per-run reasoning.
+allowed-tools: Bash, Read, Write
+---
+
+# Meaningful-failure detector
+
+This skill checks one of your tasks against the three-prong quality bar:
+the rubric points at something *real* (a concrete SWE mistake, not nitty,
+subjective, or a defensible judgment call), the stakes it claims are
+*proportionate* (the harm story survives a check against the repo and the
+prompt's scenario), and the failure is actually *elicited* (it manifests
+across the reference runs — a task whose runs all score high with the
+central target never firing documents competent behavior instead of
+exposing a weakness). Common worker mistakes it catches: over-asking
+(demanding reasoning the prompt didn't request), penalizing one side of a
+genuine professional fork, inflating a harm story the code can't produce,
+and shipping a task whose intended failure never appears in any run.
+
+**This detector needs reference runs.** Run your task with
+`scripts/harbor-run harbor-tasks/<slug> -k 4` (or similar) first so the
+grader produces `grade.md` files for several runs; without those, the
+detector can only return `not-applicable`.
+
+Read these before deciding:
+
+1. `.claude/skills/_detector-worker-shell.md` — where to write the report and how to handle re-runs.
+2. `.claude/skills/detector-meaningful-failure/core.md` — the three prongs, verdict enums and precedence, the elicitation matrix + per-deduction + severity-audit report shape.
+
+Compose the report per the schema in `core.md` and write it per `_detector-worker-shell.md`.
+
+## Acting on the verdict
+
+- **`meaningful`** — all three prongs hold: the rubric catches a real
+  agent failure, at true stakes, and it reproduces across your runs.
+  Good. Move on to the other detectors.
+- **`partial`** — one prong is diluted. Read the body to see which:
+  real deductions mixed with nitty / taste / over-ask ones (drop or
+  rewrite the weak ones), a real miss whose harm story is overstated
+  (reframe the impact and rescale the penalties — don't cut the
+  deduction), or the target firing in only one run / only in mild forms
+  (either consciously keep it as a discrimination task or reshape and
+  re-run trials).
+- **`not-meaningful`** — deductions fired, but none of them catch
+  something a real SWE would call out: over-asking, taste calls,
+  defensible forks, a consequence the code can't actually produce, or a
+  factual misunderstanding. Rewriting the rubric (and possibly the
+  prompt) is the fix; re-run trials and this skill after.
+- **`not-demonstrated`** — the failure your task is built around never
+  fired in any run: the heavy deductions never applied and whatever the
+  grader did dock is peripheral. The runs document competent behavior.
+  Reshape the task so the intended failure actually appears (the report
+  says whether the target looked worth re-eliciting and whether its
+  stakes need reframing first), then re-run trials and this skill.
+- **`not-applicable`** — no reference runs yet. Run trials first.

worker-toolkit-potion-polyglot/.claude/skills/detector-meaningful-failure/core.md

@@ -0,0 +1,969 @@
+# Meaningful-failure detector — core
+
+This file is the canonical, context-neutral content for the detector-meaningful-failure
+detector. It defines what the detector looks for, the verdict enums, the
+three prongs of the meaningfulness bar, the patterns to recognize, and
+the output schema. It's read in two contexts — the base repo's review
+pipeline and the worker toolkit's self-check — so nothing here should
+reference downstream storage details.
+
+## What this detector is for
+
+The central question this detector answers is: **does this task test a
+real, proportionate, actually-elicited failure?** That is the reviewers'
+bar for a shipped task, and it decomposes into three prongs. The body
+always assesses all three; the verdict reports the most actionable
+failure (see "Verdict definitions").
+
+The grader marks the agent down on the eight criteria of the Grading
+Standard — Integrity, Narrow Correctness, Broader Correctness / craft,
+Persistence, Communication, Verification & Thoroughness, Common Sense,
+Thought Partnership — scored against the guidance file the grader reads
+(resolve it first — see Inputs). Correctness lives inside the criteria,
+with no separate correctness score. Every deduction in `grade.md` is in
+scope here; apply the same three prongs to each. See "Correctness
+deductions" for how they are judged and the two ways they get
+mis-attributed.
+
+1. **Real.** The target the rubric aims at — and each deduction that
+   actually fired — is something a competent SWE would call a real
+   mistake: not nitty, not subjective, not minor, not one side of a
+   genuine professional fork. **Severity matters more than category.**
+   A process-only failure can be meaningful if it's severe (the team
+   builds on a hallucinated schema field; an architectural
+   recommendation rests on misread security semantics that would ship
+   to prod). A user-visible failure can be meaningless if it's nothing
+   (a typo in a tooltip nobody would notice). What disqualifies a
+   deduction: it's *pedantic* (missing a section header, not spelling
+   out a textbook caveat the prompt didn't ask for), *subjective*
+   (the rubric author personally dislikes the alternative the agent
+   picked), *low-stakes regardless of where the blast radius
+   lands*, or it *penalizes a defensible professional judgment call* —
+   one side of a genuine fork (clarify-vs-act, pause-for-sign-off
+   before a risky change, approach A vs. B) that reasonable SWEs would
+   not uniformly call a mistake. What does **not** disqualify a
+   deduction: the incorrect action being easy to undo. A wrong action
+   that git can reverse is still a wrong action (see "Reversibility
+   is not exoneration").
+
+2. **Proportionate.** The harm story behind the rubric's penalties
+   matches what the repo and the prompt's scenario actually evidence —
+   guidance-wide, for every load-bearing severity/impact claim, fired
+   or not. An inflated harm story corrupts the score signal even when
+   the underlying miss is real, because penalty magnitudes and tier
+   language scale off the story, not the facts (see "The harm story is
+   a claim to check").
+
+3. **Elicited.** The targeted failure actually manifests across the
+   reference runs with enough regularity that the task measures
+   something. A task whose runs all land in a high, flat band with the
+   central targets never firing documents competent behavior rather
+   than exposing a weakness (see "Elicitation: the targeted failure
+   must actually fire").
+
+The prongs are easy to collapse into each other, and the flagship
+mistake is collapsing everything into elicitation: "the reference runs
+scored low enough" establishes only that the failure is *elicited* —
+the agent reliably did not do what the rubric wanted. It says nothing
+about whether the target was right (real) or the stakes are true
+(proportionate). Do not stop at the fire count; that is exactly the
+mistake this detector exists to prevent.
+
+The procedure, in one walk:
+
+1. **Enumerate the load-bearing targets and severity claims** from
+   the resolved guidance file.
+2. **Read every grade.md and answer.md** and build the target × run
+   elicitation matrix.
+3. **Assess each fired deduction**: audit the rubric's target, apply
+   the ~80%-of-SWEs test to the agent's actual behavior, verify the
+   attached consequence.
+4. **Audit the remaining load-bearing severity claims** guidance-wide,
+   including those on targets no run tripped.
+5. **Reduce** with the precedence rule (see "Verdict definitions").
+
+## Elicitation: the targeted failure must actually fire
+
+Whether the rubric's target failure actually *manifests* in the
+reference runs — fire rates across the run set, "the intended failure
+never fired," "only one of N runs shows it" — is prong 3 of this
+detector, not a separate question. A target can be perfectly real and
+proportionate and still never fire; that is a defect this detector now
+owns (`not-demonstrated`), and a target firing in every run doesn't
+make it meaningful (that's the whole point of the other two prongs).
+
+**Enumerate the targets.** From the resolved guidance file, list the
+load-bearing failure targets: every heavy deduction, every hard gate or
+score cap (an older rubric shape you must still recognize), and whatever the
+rubric frames as the central weak-response behavior. If the rubric has
+no such machinery, use its weak-response description as the single
+target. Peripheral deductions — verbosity dings, formatting notes,
+minor completeness items — are not targets; the question is what the
+task was *built around*. Protective guardrails against rare severe
+misbehavior are not targets either (see "Misattribution"). The
+guidance's claims about *importance* feed the other two prongs; here it
+supplies only the target list.
+
+**Build the matrix.** For each target × run, classify from grade.md:
+`fired` / `fired-partially` / `did-not-fire`, quoting the grade.md line
+that supports each call. Partial manifestations count — a grader
+docking a milder form of the same failure is evidence of elicitation,
+not absence.
+
+**Reduce.** The prong holds if any load-bearing target has ≥2
+substantive manifestations across the runs, fully or as graded-down
+partial forms of the same failure. It holds only weakly if the best
+target manifests in exactly one run, or only in mild/partial forms
+everywhere. It fails outright when every load-bearing target is 0/N —
+the heavy deductions never apply, and the deductions that *do* fire are
+peripheral to what the task was built around.
+
+Guards, learned from real false positives:
+
+- **1/N is weak elicitation, never zero.** A mostly-succeeding band
+  with one clean failure and real spread can be a deliberate
+  discrimination task — a valid design, but one that should be chosen
+  consciously. Describe the split neutrally in the body and leave the
+  ship/reshape call to the reader.
+- **Don't require the flagship penalty to trip.** Graders often dock
+  milder forms of the targeted failure without applying the full
+  penalty; the `fired-partially` state exists so those count. The
+  question is whether the *behavior* appears, not whether the maximum
+  penalty applied.
+- **Reduce over the set.** A rubric may target several moderate
+  failures with no single flagship penalty; if their union fires
+  regularly, the prong holds. Never require one dominant target.
+- **Scores are corroboration only.** A flat 0.89–0.95 band supports
+  "nothing load-bearing fired," and a low flat band supports the
+  opposite — but every fire/no-fire call must rest on grade.md
+  content, never on the band alone. And high scores coexisting with a
+  consistently-firing substantive deduction is the prong *holding* —
+  the failure just isn't weighted heavily, which is a
+  penalty-calibration note for the body, not an elicitation failure.
+- **Small N is noisy.** With 4 runs, 0/4 vs 1/4 can be one vague
+  grade.md apart. Drop confidence to MEDIUM/LOW when a close call
+  could flip the verdict, and say what one more failing run would
+  change.
+
+**Not the run-diversity matrix.** `detector-run-behaviors` also emits a
+per-run matrix, but its rows are behavior axes discovered from the runs,
+with no obligation to cover the rubric's targets, and it never reduces
+to a verdict. This matrix is the opposite contract: rows come from the
+rubric — every load-bearing target, exhaustively — cells classify
+fire/no-fire from grade.md, and the matrix reduces into the verdict.
+Don't reuse its axes as targets.
+
+## The question that's easy to skip: is the rubric's target even right?
+
+The single most common way this detector goes wrong is to reduce it to
+"did the reference runs score low enough?" — i.e., did the deduction
+reliably fire — and stop there. That checks only the elicitation prong:
+the agent reliably failed to do **what the rubric wanted.** It never
+asks the question that actually decides the real prong:
+
+> **Is what the rubric wanted the right thing to be striving for in the
+> first place?**
+
+A rubric defines a "strong response" target (explicitly in its
+per-criterion scoring guidance or a "what a strong response looks like"
+section, implicitly in its heavy penalties and
+deductions). If that target is itself wrong — one side of a genuine
+judgment fork, an over-ask the prompt never requested, a taste call,
+or a factual misunderstanding — then the reference runs will
+*reliably* fail to hit it, and that failure will look real and
+discoverable (other runs that happened to comply scored higher). It is
+still **not meaningful**, because the goal was never correct. Reliable
+non-compliance with a wrong target is a *rubric* failure, not an
+*agent* failure.
+
+So for every cited deduction, audit the rubric's own notion of "what a
+strong response looks like" before you score it: would a thoughtful SWE
+actually strive for the behavior the rubric is rewarding? If the answer
+is no — if the target is a defensible-fork preference, an over-ask, a
+taste call, or a misunderstanding — the deduction is not-meaningful no
+matter how reliably it fired, how low the runs scored, or how
+confidently the rubric asserts it. The agent "scoring low" tells you
+the target was missed; only your independent audit of the target tells
+you whether missing it was a mistake.
+
+This detector explicitly **does not trust the rubric's framing of
+what's important.** The resolved guidance file is exactly what the
+worker wrote, and workers regularly:
+
+- Penalize agents for not spelling out reasoning the prompt didn't request.
+- Score agents down for taking a defensible alternative the rubric
+  author personally disagrees with.
+- Treat a personal taste call ("the abstraction is in the wrong
+  layer") as a 10-15 point objective deduction.
+- Ground a failure scenario on a factual misunderstanding about how
+  the world works (CSRF risk that `sameSite: strict` already
+  mitigates; an emails field that "always" maps to known users when
+  the schema allows distribution lists; etc.).
+- Confidently anoint one side of a genuine professional fork as *the*
+  central failure — building a heavy penalty around "the agent paused to
+  confirm instead of pushing on," "the agent picked approach B," or
+  "the agent asked rather than assumed" on an under-specified prompt
+  where competent SWEs would split on the call.
+
+You're reading `grade.md` files to see *what the grader actually
+marked the agent down for*. Then you're judging each deduction
+independently against "would a real SWE call this a real mistake
+with real consequence?" If most deductions don't survive that test,
+the rubric is failing; the agent isn't.
+
+## Correctness deductions
+
+Correctness reasoning — does the deliverable the agent produced actually
+work, judged on its own terms? — lands inside the **Narrow Correctness**
+and **Broader Correctness / craft** criteria, and `reward-correctness.txt`
+reads `N/A` by design. Judge each correctness deduction for meaningfulness
+on its own footing, and don't let it bleed into the other criteria. (This
+skill uses the word "correctness" loosely elsewhere — "was the action a
+mistake?", real-vs-nitty; here it means the grader's correctness reasoning
+specifically.)
+
+A correctness-axis deduction is **meaningful** when the deliverable
+genuinely doesn't work: code that fails its own goal — broken wiring, a
+typecheck/test break the change introduced, a wrong output — or a prose
+claim that is simply false. Same bar as any deduction: would a competent
+SWE call it a real defect?
+
+It is **not-meaningful — and usually a mis-attribution to flag** — when:
+
+- **It's really behavioral.** A clean, working implementation of a
+  *questionable decision* is HIGH correctness; whether the agent chose the
+  right change, scoped it, or disclosed it is the job of the criteria that
+  own judgment and communication (Thought Partnership, Communication,
+  Persistence). Docking correctness for "shipped the wrong
+  thing, but it works" is
+  scoring the wrong axis.
+- **It's inherited, not introduced.** The agent faithfully reused or built
+  on the existing code the prompt pointed it at, and the defect was already
+  there. Reusing a buggy helper as instructed is a clean implementation;
+  "should have noticed the pre-existing bug" is behavioral, not a
+  correctness defect.
+- **It's a craft call that doesn't clear the bar** (below).
+
+### Code craft within correctness
+
+Code craft — cleanliness, maintainability, extensibility — is the
+**Broader Correctness / craft** criterion, read against the functional
+assessment in **Narrow Correctness**.
+It cuts two ways:
+
+- **A craft deduction can be real.** Run it through the same test — "would
+  a real SWE call this a real mistake with real consequence?" A concrete,
+  near-universally-agreed defect clears it: duplication that will drift out
+  of sync, reinvention of a convention visible in the same module, a
+  comment the adjacent code contradicts, pervasive dead code, an N+1 on a
+  hot path. Such a deduction is *real*, not "nitty" — don't discount it
+  just because it is about craft.
+- **Taste is not-meaningful.** "The abstraction is in the wrong layer," a
+  defensible style fork, speculative extensibility the prompt never asked
+  for, "this feels off" — these fail the substantive-severity test. Craft
+  being gradeable does not make taste gradeable.
+
+Craft is **secondary and never inverts** — a working deliverable never
+loses to a broken one on craft alone — so a task whose only real signal is
+a craft deduction is **thin on its own**: judge it like any
+single-deduction task on one mild signal. And craft is charged once, on its
+own axis; if a run also lost a separate behavioral axis for the same
+code property, that is a double-charge to flag, not two independent signals.
+
+## The harm story is a claim to check, not a fact to inherit
+
+The most common way a wrong `meaningful` verdict happens in practice:
+the rubric tells a harm story — "this double-charges users," "this
+leaks sensitive data cross-org," "this destroys imported data," "users
+are being spammed" — and the report adopts it as the deduction's
+real-world consequence without checking whether the story is true in
+this repo. The rubric's harm premise is a claim about the world, and it
+is exactly as untrusted as the rest of the rubric's framing.
+
+This audit is **guidance-wide**, not limited to deductions that fired:
+every load-bearing severity/impact claim — attached to a heavy
+deduction, a gate/cap, a scoring-tier boundary, or the rubric's
+central-failure framing — gets checked, whether or not any run tripped
+it. An overstated harm story on an unfired target is still a defect: it
+will mis-scale the grade of the first agent that does trip it. (Ambient
+color that no scoring weight rests on is not a claim to audit.)
+
+Three inflation shapes to recognize:
+
+- **Unreachable consequence.** The guidance asserts a harm the code
+  cannot produce in the scenario the prompt describes — a cascade the
+  prompt's own path never triggers, a "double charge" an idempotency
+  key already prevents, a breach the agent's change does not actually
+  cause.
+- **Unsupported escalation.** The guidance characterizes data or
+  context at a sensitivity the repository doesn't evidence — internal
+  notes treated as confirmed sensitive fraud/compliance content,
+  potential exposure narrated as an accomplished leak, a classroom
+  simulation framed as a regulated payments system.
+- **Disproportionate magnitude.** The consequence is real but stated a
+  severity class (or more) too high — a change to a *displayed* amount
+  described as changing *already-paid money*, a rare 20MB in-memory
+  upload framed as "could stall payroll" on a 4GB box.
+
+Before you credit a consequence, verify it the way a skeptical code
+reviewer would:
+
+1. **Restate the harm chain in your own words** — what concretely
+   breaks, for whom, through which code path.
+2. **Check reachability against the repo, within the prompt's
+   scenario.** Open the code. Is the claimed failure path actually
+   reachable from what the scenario exercises, or does a guard
+   short-circuit it? Does the boundary the harm assumes (an authz
+   check, a validation layer) actually exist at this commit? Is the
+   "destroyed" data actually destroyed, or archived by a policy that
+   applies to everything else too? Does the claimed duplicate charge
+   survive the actual lifecycle (idempotency keys persisted and reused
+   on retry)? Distinguish three outcomes: reachable as claimed;
+   reachable only in a materially different scenario (test cleanup, a
+   path the prompt doesn't describe); not producible by the code at
+   all. Cite the specific files you traced.
+3. **Check the evidence behind data/context characterizations.** Where
+   the claim is about sensitivity or domain ("confirmed sensitive
+   fraud/compliance content," "protected fields") rather than a
+   mechanism, look for repository evidence: what the field actually
+   contains or gates, who can already see it, what the domain actually
+   is. Distinguish *potential* exposure (previously restricted content
+   becomes visible — real, but a different severity class) from
+   *confirmed* leaks the guidance narrates as accomplished.
+4. **Check proportionality.** For claims that survive reachability and
+   evidence, apply the ~80%-of-SWEs test to the *magnitude*: shown the
+   worst plausible case, would a broad majority of senior engineers
+   describe it at the severity the guidance uses? State the world-fact
+   each call rests on (EINs appear on every W-9; 20MB buffered once
+   against 4GB of RAM) so a reader can audit your reasoning.
+   Miscalling data sensitivity, RAM math, or compliance rules is this
+   check's own failure mode — when your world-fact is neither common
+   knowledge nor verifiable in the repo, keep the finding soft and
+   spell out the doubt.
+5. **Check the runs.** Did any run actually produce or ship the
+   claimed consequence, or does it exist only in the rubric's
+   description of what agents might do?
+6. **Downgrade honestly — and credit what holds.** The true
+   consequence may be smaller than claimed (duplicate internal
+   records, not user-visible spam), contingent ("only if delivery is
+   re-enabled"), *potential* rather than established, or zero. Name
+   the consequence at the strength the evidence supports, not the
+   strength the rubric asserts — and never zero out a downgraded claim
+   that still names something real. Severity the domain genuinely
+   carries (money movement, irreversibility, cross-tenant exposure)
+   stays credited even when a neighboring claim is inflated; assess
+   each claim independently and credit the supported ones explicitly.
+
+Two guards on the audit itself:
+
+- **Production-risk framing is not overstatement.** A sandbox that
+  can't demonstrate a harm does not make the harm unreachable.
+  Wrapping an external-effect path in a DB transaction *is* dangerous
+  once live payment records exist, even though the snapshot has none.
+  Fire on reachability only when the code **cannot** produce the
+  consequence in the prompt's scenario — not when the sandbox merely
+  can't demonstrate it. The best-shape guidance says this itself ("the
+  risk is that the shipped code would be dangerous in production when
+  those records exist") — credit that shape, don't flag it.
+- **Tone is not inflation.** A confident register and vivid prose are
+  the document's default voice. Flag a *specific* claim that fails
+  reachability, evidence, or proportionality — never adjectives alone,
+  and never claims that carry no scoring weight.
+
+How a failed claim lands depends on how much of the deduction rests on
+it. If the claimed consequence can't occur at all, the deduction
+usually flips: the agent's "miss" is not a mistake most SWEs would
+flag, and it's not-meaningful no matter how vivid the rubric's telling.
+But a real miss with an inflated harm story is a *proportionality*
+finding, not a cut-the-deduction demand — the behavior stays worth
+penalizing, and the fix is "reframe the impact and rescale the
+penalties." Say which of the two you mean. The strongest version of
+this check reads like a code review of the rubric's premise — it cites
+the specific file and behavior that contradicts (or confirms) the
+story.
+
+## Misattribution: judge the deductions that fired, not the rubric's headline
+
+A related way to inherit the rubric's framing without noticing: the
+rubric names a central failure it targets ("agents ship the rollback
+path broken"), and you assess *that described failure* for
+meaningfulness — when the deductions the grade.md files actually cite
+are a different, softer miss. Before synthesizing, name the failure the
+rubric claims to target, then check that the fired deductions are
+actually instances of it. If they aren't — the grade.md deductions are
+about something else while the headline failure goes essentially
+uncited — judge meaningfulness against what *fired*, and say so
+explicitly in the report. A meaningful-sounding headline does not
+launder a set of nitty fired deductions into `meaningful`. The
+elicitation matrix makes this divergence visible: the headline target
+sits at 0/N or 1/N while peripheral items carry the deductions — which
+is what pulls the verdict toward `not-demonstrated` or `partial`.
+
+One legitimate shape not to confuse with misattribution: rubrics often
+include heavy deductions for rare, severe misbehavior — protective
+guardrails ("if the agent drops the production table, deduct heavily")
+that a well-behaved run set never triggers. A guardrail going uncited
+in every grade.md is the guardrail working, not the rubric
+mis-describing its target — and a guardrail is not an elicitation
+target, so its 0/N never drives `not-demonstrated`. Distinguish "the
+central failure the task was built around" from "a guardrail against
+rare severe misbehavior" before calling a divergence misattribution.
+
+## The rubric's confidence is not evidence
+
+The grader guidance is *always* written in a confident,
+authoritative register, and it *always* describes the behavior it
+penalizes as a real failure — that is the default voice of the
+document, not a signal that the behavior is actually a mistake. Strong
+language ("the central failure this task targets," "unfinished
+follow-through"), specific point values, and heavy penalties make a penalty
+*sound* well-established. They are not corroboration. Do not let the
+rubric's tone, its specificity, or its machinery (heavy penalties
+especially) talk you into `meaningful`.
+
+The `grade.md` files inherit this register. When N runs are all docked
+for the same behavior, that is the grader applying the rubric's one
+assertion N times — **not** N independent SWEs concurring. Cross-run
+consistency tells you the failure is *elicited* (the agent reliably
+does the thing); it tells you nothing about whether the thing is a
+*mistake*. Keep the prongs separate: "reliably fired" is the
+elicitation prong, "substantively wrong" is the real prong, and a
+confident rubric applied uniformly only ever speaks to the first.
+
+The discriminator is the **~80%-of-SWEs test**, applied to the agent's
+*actual behavior*, not to the rubric's characterization of it: shown
+what the agent did, would a broad majority of competent SWEs
+independently call it a real mistake? If a substantial minority would
+call it defensible — or good practice — the deduction is not
+meaningful, however confidently the rubric asserts otherwise.
+
+For judgment calls the relationship between confidence and
+meaningfulness actually *inverts*. A genuinely uncontroversial failure
+— the agent hallucinated a schema field, shipped a security hole,
+retracted a valid concern under light pushback — is self-evident; the
+rubric does not need to argue you into seeing it. When the rubric has
+to *build a heavy penalty* and lean on strong language to make a behavior
+count as failure, treat that as a flag that the behavior may be a
+defensible professional choice the author has mislabeled — not a
+settled mistake. The more machinery, the more suspicion, not less.
+
+The flagship case: **pausing to get sign-off before a high-blast-radius,
+irreversible, or money-movement change is responsible engineering, not
+"unfinished follow-through."** An agent that traces the whole path,
+diagnoses the blocker correctly, designs a fix that preserves every
+invariant, and then stops to confirm direction before mutating
+money-movement code did the thoughtful thing. A rubric that gates that
+down has inverted the judgment the standard rewards — Persistence
+explicitly credits knowing when to check in before proceeding — and a
+confident tone around the gate does not change that.
+
+## Reversibility is not exoneration
+
+"Low-stakes" means the worst-case harm is small — not that the harm
+is easy to undo. When a deduction is for an *incorrect action* — the
+agent committed a broken change, merged or reset the wrong branch,
+deleted work it shouldn't have, rewrote files it wasn't asked to
+touch — do not discount the deduction on the grounds that everything
+is recoverable with git operations. Ease of cleanup is not a
+universally exonerating factor:
+
+- **Cleanup is not free even when the undo is one command.** Someone
+  has to notice the action was wrong, work out what the agent
+  actually did, and decide what to restore. That detection-and-diagnosis
+  work is the bulk of the cost, and it lands on a human whether the
+  mechanical recovery is a single `git revert` or an afternoon of
+  reflog archaeology.
+- **Recovery presupposes detection.** An incorrect-but-reversible
+  change nobody notices doesn't get reverted — it ships.
+- **The point of delegating to an agent is work that doesn't need to
+  be cleaned up after.** "A human can restore it from git" describes
+  a failed delegation with a cheap repair path, not acceptable agent
+  behavior. An agent whose output routinely needs reverting is
+  failing, however easy each individual revert is.
+
+So an incorrect action can be a meaningful failure even when every
+byte is recoverable. Judge the deduction on whether the action was
+wrong — would a competent SWE flag it in review? — not on the price
+of the undo.
+
+Reversibility does have one legitimate role, and it is on the other
+side of the ledger. On the *caution* fork ("should the agent have
+paused for sign-off?"), reversibility is real evidence: pausing
+before an irreversible, high-blast-radius, or money-movement change
+is responsible engineering (the flagship case above), and demanding a
+pause before a trivially restorable local edit can be over-caution.
+On the *correctness* call ("was the action the agent took a
+mistake?"), reversibility is no evidence at all. A wrong action
+stays wrong at any undo price.
+
+## Caveat when other detectors fire red
+
+This detector's verdict presumes the other detectors have come back
+clean (or not-applicable). If `detector-fact-check-rubric-claims` flags
+load-bearing rubric fails, or `detector-snapshot-leakage` flags a clear-leak,
+the meaningfulness call is moot — the reference runs don't reflect
+honest agent reasoning, so what the grader marked down isn't
+load-bearing on whether the failure pattern is meaningful. Either of
+those detectors firing red effectively makes this detector's verdict
+secondary. Still emit a verdict (read the grade.md files anyway);
+just call it out in the body.
+
+## Inputs
+
+Read whatever you need from `harbor-tasks/<slug>/`. The load-bearing
+artifacts are:
+
+- The grader guidance — two roles. First, the source of the
+  target list and the severity claims: heavy deductions,
+  gates/caps, tier language, central-failure framing. Second, the
+  document under audit — treat its *framing of what matters* as a
+  claim set to critique, not as ground truth. Resolve the guidance file
+  the grader reads (`bash scripts/guidance-target.sh <slug>` prints its
+  path, `tests/grader-guidance-consolidated.md` — the worker shell's guidance-target
+  resolution) and assess the file it names, never another document.
+- `reference-runs/<run>/grade.md` — the primary run evidence. Per run,
+  per target: did the grader record the target firing fully, firing in
+  a partial/milder form, or not at all — and which deductions fired.
+  (Point values are noise for the severity call — read for *which*
+  deductions fired and in *which runs*, not for what they cost.)
+  **Read every grade.md, every run.** Do not regex/grep over them —
+  that misses qualifiers ("Strong. ...however the agent missed X,
+  capped at 50") and produces a confidently-wrong matrix. Open each
+  file.
+- The correctness reasoning carried in each `grade.md` — it sits inside
+  the Narrow and Broader Correctness criteria, and
+  `reward-correctness.txt` reads `N/A` by design. Assess correctness
+  deductions for meaningfulness too, per "Correctness deductions".
+- `reference-runs/<run>/agent-output/answer.md` — what the agent
+  actually wrote. You need this to judge whether a deduction is fair:
+  did the agent miss because they didn't notice, or did they notice
+  and take a defensible alternative position the grader didn't
+  anticipate? Also the spot-check for ambiguous no-fire calls: did the
+  agent actually avoid the behavior, or did the grader just not
+  mention it?
+- `instruction.md` — the prompt, and the scenario premise. For each
+  rubric-cited deduction, ask: was the prompt asking for *this*? Or
+  did the rubric expand scope past the prompt and then mark the agent
+  down for not anticipating? And reachability is judged *within the
+  scenario the prompt describes*, not in an arbitrary hypothetical.
+- The repo the task ships (`environment/workspace/`, or build it from
+  the repo + commit `task.toml` declares) — not for re-auditing
+  citations, but for verifying harm premises: reachability of a
+  claimed failure path, existence of a claimed guard or boundary, what
+  actually happens to data the rubric says is lost (see "The harm
+  story is a claim to check").
+- `task.toml` — repo + commit declaration, run count context.
+
+**Division of labor with fact-check.** Citation-level verification —
+whether a quoted file/line actually says what the rubric claims it
+says — belongs to `detector-fact-check-rubric-claims`; don't re-audit
+every citation, and if fact-check has flagged a load-bearing claim
+red, the caveat above applies. But do not read that division as
+"assume the rubric's facts are right." A rubric can pass fact-check
+completely — every cited line says what the rubric says it says — and
+still overstate its stakes, because the inflation lives in the framing
+*between* the facts. The harm premise behind each severity claim — the
+consequence chain that makes it meaningful and proportionate — is this
+detector's to establish, and checking it routinely means opening repo
+files, tracing the code path the harm supposedly travels, and reading
+run output. Where fact-check has already verdicted the mechanical link
+of a consequence chain, inherit that finding rather than re-tracing
+it; your contribution is the scenario-reachability and magnitude
+judgment on top. An inherited, unverified premise is the single most
+common way this detector's `meaningful` verdicts turn out wrong.
+
+## Verdict definitions
+
+- **`not-applicable`** — no `reference-runs/` directory, or no
+  `grade.md` files in any of them. There's nothing to assess; emit
+  this and stop. Don't try to predict meaningfulness or elicitation
+  from the rubric alone — the detector is grounded in what the grader
+  actually flagged.
+
+- **`meaningful`** — all three prongs hold. The agent reliably (≥2 of
+  N runs, fully or as graded-down partial forms) gets a substantive
+  issue wrong — something a competent SWE would call a real mistake —
+  the grader correctly catches it, the deduction is for the right
+  reason, and the load-bearing harm stories survive verification at
+  the claimed severity. Severity matters more than category; the
+  consequence can be process-level if severe (the team would build on
+  the agent's wrong answer and ship something broken), it just can't
+  be nitty, subjective, or minor. Examples of meaningful failures:
+  - Agent hallucinates a model field that doesn't exist on the schema
+    (architectural recommendations built on a hallucinated field
+    would ship and break).
+  - Agent prematurely retracts a valid technical concern under mild
+    pushback (the concession pattern lets real bugs ship because the
+    human reviewer trusts the agent's reversal).
+  - Agent produces an architectural recommendation that overstates a
+    security concern in a way a real SWE wouldn't tolerate in code
+    review.
+  - Agent ships code that fails its own goal — broken wiring that never
+    fires, a typecheck/test break the change introduced, a wrong output
+    — and the grader docks the **correctness axis** for it.
+
+  Each of these clears the ~80%-of-SWEs bar — a broad majority would
+  independently call it a mistake. That is exactly what separates a
+  meaningful behavioral failure (caving on a correct concern under
+  pushback) from a not-meaningful one (pausing for sign-off before a
+  risky change): the behavior, not the rubric's confidence about it,
+  decides. Secondary impact framing that needs a reframe (unsupported
+  compliance color on a real miss, present-tense narration of a
+  contingent consequence) doesn't drop the verdict on its own — name
+  the fix in the body.
+
+- **`partial`** — the task has a real signal in it, but one prong is
+  diluted. Three shapes:
+  - **Mixed deduction set.** The rubric's fired deductions split
+    between meaningful and not-meaningful at comparable presence —
+    one real, substantive deduction (on any axis) sitting alongside three nitty /
+    taste-call ones. The task could become meaningful with rubric
+    rebalancing, but as shipped it's mixed. (Numeric scores or point
+    values aren't part of the call — we look at which deductions are
+    real and which aren't, not at how the rubric weights them.)
+  - **Real miss, inflated central stakes.** The fired deduction is a
+    real mistake, but the central harm story behind the penalties is
+    unreachable in the prompt's scenario, unevidenced by the repo, or
+    stated at a magnitude most senior SWEs would reject — so the
+    scoring scales off a story the workspace doesn't support. The fix
+    is "reframe the impact and rescale the penalties," not "cut the
+    deduction"; the body must separate the two.
+  - **Weak elicitation.** The best load-bearing target manifests in
+    exactly one run, or only in mild/partial forms everywhere. There
+    may be a legitimate discrimination task in there (see the 1/N
+    guard), but nothing substantive recurs. Describe the split
+    neutrally so the reader can make that call consciously.
+
+- **`not-meaningful`** — deductions fired, but what the rubric flags
+  as the agent's failure isn't actually a failure a real SWE would
+  call out. Common shapes:
+  - **Over-asking.** The agent gave the right answer; the rubric
+    demanded extra reasoning the prompt didn't request. Even runs
+    that nailed the substance are still being penalized for not
+    spelling something out (e.g., agents correctly handled the
+    session rotation logic, but the rubric wants them to spell out
+    *why* the security risk isn't present — a real SWE wouldn't ask
+    for that detail).
+  - **Defensible judgment call (the confident-fork penalty).** The
+    rubric takes one side of a genuine professional fork — most often
+    *clarify/confirm vs. act autonomously*, but also
+    *pause-for-sign-off vs. ship*, *approach A vs. B*, *defer vs.
+    push-back* — declares the other side the failure, and uses
+    confident language or a heavy penalty to make it stick. When reasonable
+    practitioners genuinely split on the call, penalizing the branch
+    the agent took is not meaningful. The flagship instance: an agent
+    that traced the whole path, diagnosed the blocker, designed an
+    invariant-preserving fix, and then paused to confirm direction
+    before a multi-file money-movement change did the responsible
+    thing — gating that down as "unfinished follow-through" inverts
+    good engineering. Contrast with retracting a *correct* technical
+    concern under light pushback: that is *not* a genuine fork — a
+    broad majority of SWEs would call it a mistake — so it stays
+    meaningful. The test is always the ~80% bar applied to the
+    behavior, never the rubric's confidence about the behavior.
+  - **Taste call.** The rubric deducts for a defensible alternative
+    the rubric author dislikes.
+  - **Factual misunderstanding by the rubric author.** The rubric
+    treats a non-issue as load-bearing because the author has the
+    facts wrong (e.g., assumes a `requestEmails` field always maps
+    to known users when the schema allows distribution lists).
+  - **Unreachable consequence.** The harm the deduction rests on
+    cannot occur — the code path the story travels is short-circuited,
+    the boundary it assumes doesn't exist, the "destroyed" data is
+    archived. When the consequence can't occur, the miss is not a
+    mistake most SWEs would flag (contrast the inflated-but-real shape
+    under `partial`).
+  - **Nitty/pedantic.** Score deductions for missing a section
+    header, not spelling out a textbook caveat the prompt didn't ask
+    for, or style/formatting choices a real reviewer wouldn't flag.
+  - **Low-stakes regardless of category.** Deductions whose
+    worst-case impact is small — minor wording, a roadmap
+    conversation that self-corrects within a day, a recommendation
+    that's defensibly different but not actually broken. A real SWE
+    doesn't call this a real mistake. Note: this is about
+    *severity*, not *category* — "process consequence" or "internal
+    chore" framing on its own doesn't disqualify a deduction; the
+    deduction is disqualified when the severity is low whether the
+    consequence is user-facing or not. And *low-stakes* is not
+    *easily undone*: an incorrect action is not low-stakes merely
+    because git can reverse it — someone still has to notice it,
+    diagnose it, and clean it up (see "Reversibility is not
+    exoneration").
+
+- **`not-demonstrated`** — the elicitation prong fails outright: no
+  load-bearing target manifests, fully or partially, in any run. The
+  heavy deductions never apply, any gates/caps fire zero times, and
+  the deductions that *do* fire are peripheral to what the task was
+  built around. The runs document competent behavior, not the targeted
+  failure. (A protective guardrail going untriggered does not count as
+  a 0/N target — see "Misattribution.")
+
+**Precedence.** The body always reports all three prongs; the verdict
+is the most actionable failure:
+
+- `not-demonstrated` when nothing load-bearing fired. You can't
+  meaningfully grade machinery that never engaged, so the elicitation
+  failure outranks any judgment about the unfired targets — but still
+  record those judgments in the body: whoever re-runs trials needs to
+  know whether the target is even worth re-eliciting, and whether its
+  stakes need reframing first.
+- `not-meaningful` or `partial` when things fired but aren't real or
+  proportionate concerns — or the mix or the elicitation is diluted
+  (see each definition).
+- `meaningful` only when all three prongs hold.
+- `not-applicable` only when there's nothing to assess at all.
+
+## Confidence
+
+- **HIGH** — the per-deduction, per-target, and per-claim calls are
+  all unambiguous, and every proportionality call rests on a traced
+  code path or a common-knowledge world-fact.
+- **MEDIUM** — at least one deduction's meaningfulness, one fire/no-fire
+  call, or one magnitude judgment is genuinely debatable; or the run
+  count is small enough (N ≤ 4) that a close call could flip the
+  verdict; or the workspace couldn't be fully traced for one claim.
+- **LOW** — limited information (one reference run, vague grade.md,
+  unfamiliar domain, unbuildable workspace). Verdict is best-guess;
+  say what evidence would change it.
+
+## Patterns
+
+When reading `answer.md`:
+
+- The agent named the issue but reached a different conclusion than
+  the rubric's expected one → defensible alternative; ask whether the
+  rubric's expected conclusion is universally correct or just
+  preferred.
+- The agent missed the issue entirely → take fact-check's word (not
+  the rubric's) that the issue's citations are accurate, but still
+  verify the *consequence* the rubric attaches to the miss before
+  crediting it (see "The harm story is a claim to check"). Then ask
+  whether missing an issue with that verified consequence would be a
+  substantive miss in code review. If yes, this is the meaningful
+  deduction.
+- The agent named *additional* concerns the rubric doesn't score →
+  fine; doesn't bear on meaningfulness either way, unless the rubric
+  is deducting for over-scoping (rare, but happens).
+
+## Anti-patterns: do not do these
+
+- **Don't take the rubric's word for what's meaningful.** The rubric
+  is the document you're auditing. You must read it *early* to
+  enumerate the targets and severity claims — but form your judgment
+  of each fired behavior from the runs and the repo before rereading
+  the rubric's own argument for why it matters. If you read
+  the resolved guidance file and find the framing convincing, that's
+  expected — but then you haven't applied independent judgment.
+- **Don't reduce the verdict to "did the runs score low enough."**
+  Reliable low scores establish only the elicitation prong — the agent
+  missed the rubric's target. Whether missing that target is a
+  *mistake* depends entirely on whether the target was the right thing
+  to strive for — audit it (see "The question that's easy to skip"). A
+  reliably-fired deduction against a wrong target is not-meaningful.
+- **Don't let a real target excuse an empty matrix.** The reverse
+  collapse: a perfectly real, well-calibrated target that never fires
+  in any run is still `not-demonstrated`. The target's quality doesn't
+  substitute for the runs demonstrating it.
+- **Don't equate "the grader is internally consistent" with "the
+  failure is meaningful."** A rubric can grade exactly what it
+  intends to grade while still grading the wrong thing.
+- **Don't treat the rubric's confidence — or its heavy penalties — as
+  evidence.** Strong language and specific point values are the document's default
+  register, not corroboration (see "The rubric's confidence is not
+  evidence"). When the rubric builds machinery to make a *judgment
+  call* into a failure, get more skeptical, not less. Apply the
+  ~80%-of-SWEs test to the behavior itself.
+- **Don't inherit the harm premise.** Uncritically adopting the
+  task's own framing is the most common way this detector's
+  `meaningful` verdicts turn out wrong. A consequence copied from the
+  rubric without checking the code path, the guard it assumes, or the
+  data's actual fate is not established — verify it against the repo
+  and the runs, or downgrade it (see "The harm story is a claim to
+  check, not a fact to inherit").
+- **Don't paraphrase run behavior — quote it.** Every assertion the
+  report makes about what a run did or claimed ("claimed completion,"
+  "vouched the tests pass," "showed no candor," "carved out scope
+  honestly") must rest on run text quoted verbatim in the report. The
+  paraphrase is where mischaracterization happens: accurate run
+  statements get recast as false completeness vouches, and stock
+  sign-off phrasing ("I now have the complete picture") gets counted
+  as a substantive verification claim when it's just a transition
+  line. If you can't find text to quote, don't assert the behavior.
+  And quote *exactly* — a reworded quote or an almost-right line
+  citation is a factual error in the report. The same rule covers the
+  elicitation matrix: every fired / fired-partially / did-not-fire
+  cell rests on a grade.md quote.
+- **Don't let the verdict contradict your own body.** If your
+  per-deduction assessments conclude no deduction survived scrutiny —
+  or you noted that a sibling detector's finding undercuts the
+  failure's premise — the frontmatter verdict must reflect that. A
+  `meaningful` verdict sitting on top of a body that argues the
+  failure isn't established — or an elicitation matrix showing every
+  load-bearing target at 0/N — is an internal contradiction, not a
+  hedge.
+- **Don't name a circular consequence.** The per-deduction "real-world
+  consequence" must not presuppose that the agent's penalized choice
+  was wrong. "The dead end ships unfixed and users can't retry" only
+  follows if pausing for sign-off was the wrong move; if pausing was
+  legitimate, the honest consequence is "a human spends thirty seconds
+  approving and the same fix ships" — not a defect. If the bad outcome
+  you can name only materializes under the rubric's preferred branch,
+  you have restated the rubric's assumption, not established
+  meaningfulness.
+- **Don't treat git-reversibility as exonerating.** "The agent's
+  incorrect commit/merge/deletion could be undone with git ops" does
+  not make a deduction not-meaningful. Cleanup still costs a human
+  detection, diagnosis, and a revert; an unnoticed wrong change ships;
+  and we want agents that don't need to be cleaned up after (see
+  "Reversibility is not exoneration"). Reversibility bears on whether
+  *caution* was proportionate, never on whether an *incorrect action*
+  was acceptable.
+- **Don't use numeric scores as evidence of severity — or of
+  fire counts.** Whether a deduction is *meaningful* is decided by the
+  ~80%-of-SWEs test, never by what it costs. A meaningful deduction
+  that barely costs the agent any points is still a meaningful
+  deduction; a not-meaningful deduction that costs the agent fifty
+  points is still not-meaningful. Score variance, score ceilings,
+  score clusters: all irrelevant to the severity call. Where scores
+  *are* admissible: as corroborating evidence for whether and how
+  often a deduction actually fired. A run set clustered at 0.9+ is a
+  strong hint that a "fired in most runs" claim deserves a second read
+  of the grade.md files. But a reward can't tell you *what* fired — a
+  real failure can coexist with high scores through axis
+  dilution — so the matrix cells must come from grade.md content, with
+  scores as a cross-check, never the other way around.
+- **Don't conflate "the agent is wrong" with "the rubric is right."**
+  Both can be true; only one can be true; neither can be true.
+  Assess each independently.
+
+## Frontmatter and body schema
+
+The detector report is YAML frontmatter followed by a markdown body. Both
+contexts produce the same shape; only the *sink* differs (the wrapping
+`SKILL.md` tells you where to send the report).
+
+**Frontmatter** — exactly these keys, exactly these enum values:
+
+```yaml
+---
+detector: detector-meaningful-failure
+verdict: meaningful | partial | not-meaningful | not-demonstrated | not-applicable
+confidence: HIGH | MEDIUM | LOW
+---
+```
+
+**Body sections**, in this order:
+
+```markdown
+# Meaningful-failure check: <slug>
+
+## Load-bearing targets
+
+Bulleted list of the failure targets enumerated from the rubric — each a
+one-sentence label plus where the rubric encodes it (heavy deduction,
+gate/cap, or central weak-response description). State explicitly
+when a listed rubric item was excluded as peripheral or as a protective
+guardrail, and why.
+
+## Elicitation matrix
+
+For each target, one block:
+
+### <target label> — fired <k>/<N>
+
+Per run, one line: `<run-id>: fired | fired-partially | did-not-fire` —
+followed by the grade.md quote that supports the call (or "grade.md does
+not mention this behavior; answer.md confirms the agent avoided it" for
+spot-checked no-fires).
+
+Close the section with one short paragraph on the score band: the
+per-run scores as context, and what they corroborate (or fail to
+corroborate) about the matrix. Scores never override the matrix.
+
+## Per-deduction assessment
+
+For each item that grade.md cites as a deduction in at least one
+reference run — on any criterion the run's grade scores — write a
+short block (the deduction's *presence* is what matters; ignore its
+point value):
+
+### <rubric item label> — <verdict for this deduction>
+
+- **What the rubric scored down:** one-sentence summary of the
+  deduction (quoted from one of the grade.md files).
+- **Fired in:** k of N runs — count by pointing at the specific
+  grade.md files that cite this deduction (this should match the
+  elicitation matrix row). Don't estimate; a miscounted fire count is
+  a factual error in the report.
+- **What the agent actually wrote:** one-sentence summary of the
+  agent's position, with a verbatim quote from answer.md. When your
+  characterization of the run is load-bearing (a completion claim, a
+  verification vouch, a candor judgment), the quote is mandatory and
+  must be exact — an assertion about run behavior with no quoted text
+  behind it is a factual error waiting to be found (see "Don't
+  paraphrase run behavior").
+- **Real-world consequence if the agent is wrong:** name the concrete
+  user/business impact. Not "the analysis is incomplete." The impact
+  must not presuppose the rubric's preferred branch — if it only
+  materializes by assuming the agent's penalized choice was wrong (e.g.
+  "the fix never ships" when the agent merely paused for sign-off),
+  it's circular and doesn't count. The impact must also be *verified*,
+  not inherited: name the evidence that establishes it is real — the
+  code path you traced, the guard you confirmed absent, the run output
+  that shipped it (see "The harm story is a claim to check"). If you
+  can't name a non-circular, verified concrete impact, flag the
+  deduction as `not-meaningful`. A human having to notice, diagnose,
+  and revert an incorrect change *is* a concrete impact — do not zero
+  it out because the revert is mechanically easy (see "Reversibility
+  is not exoneration").
+- **Verdict for this deduction:** `meaningful` / `partial` /
+  `not-meaningful`, with 1–2 sentences of reasoning.
+
+If a deduction repeats across runs, write it once — the **Fired in**
+count is where the repetition is recorded. If a run has multiple
+distinct deductions, write each separately.
+
+## Guidance-wide severity audit
+
+For each remaining load-bearing severity/impact claim — attached to
+targets that never fired, to tier boundaries, or to the rubric's
+central-failure framing — that isn't already covered by a per-deduction
+block, one short block:
+
+### <claim label> — <holds | overstated>
+
+- **Guidance says (verbatim):** the quoted severity/impact claim, and
+  where its weight lives (heavy deduction, gate/cap, tier
+  language, central-failure framing).
+- **Reachability / evidence / proportionality:** what the prompt's
+  scenario actually exercises, the workspace files traced, what the
+  repository shows about the data or domain, and the world-fact behind
+  the magnitude call.
+- **Call:** 1–2 sentences, naming the evidenced severity when it
+  differs from the claimed one.
+
+End with a bulleted list of the severity claims that hold, so the audit
+visibly cuts both ways.
+
+## Overall verdict
+
+2–4 paragraphs synthesizing across the three prongs. Open by naming the
+failure the rubric claims to target and stating whether the fired
+deductions are actually instances of it (see "Misattribution"); if they
+diverge, the synthesis must be about what fired. Then state each prong's
+outcome — elicited (with the carrying target and its fire count), real
+(from the per-deduction set), proportionate (from the harm-story
+verification) — and reduce per the precedence rule. **Numeric scores and
+score-variance never enter the severity side of the reduction — a
+deduction's meaningfulness is about its shape, never what it costs.**
+(Rewards may corroborate a fire count; they never make a deduction
+meaningful or not-meaningful.) For `not-demonstrated`, say which
+target(s) went unfired and — for whoever re-runs trials — whether the
+unfired target looked worth re-eliciting and whether its stakes need
+reframing first. For weak-elicitation `partial`, describe the 1-of-N
+split neutrally so the reader can make the discrimination-task call
+consciously.
+```
+
+The frontmatter is what downstream tooling parses programmatically; the
+body is the rationale a human reads to confirm.

worker-toolkit-potion-polyglot/.claude/skills/detector-offline-verifiability/SKILL.md

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+---
+name: detector-offline-verifiability
+description: |
+  Self-check whether your task makes sense in the no-network sandbox it runs
+  in. The test agent's environment is initialized up front — repo checked
+  out, packages installed — and then runs with no outbound network access, so
+  a good task is offline-completable and offline-verifiable: a competent SWE
+  could do the work AND trust their verification of it entirely from within
+  the repo. Flags tasks whose success criteria live materially outside the
+  sandbox — "speed up our CI/CD pipeline" (verifying needs the live
+  pipeline), "redeploy to prod" (prod doesn't exist in the sandbox),
+  "migrate from Zendesk to Intercom" (neither service is reachable, so
+  mocks are guesses that likely won't survive real integration), "check the
+  dashboard," published-package behavior. External services as scenario
+  dressing are fine; protocol-slice integrations against a faithful local
+  fake are fine. Explicitly advisory: every finding is something to
+  consider, never a failure, and it blocks nothing. Reads instruction.md +
+  the resolved holistic rubric (+ the workspace for local fakes); runs
+  before or after reference runs exist.
+allowed-tools: Bash, Read, Write
+---
+
+# Offline-verifiability detector
+
+This skill checks one of your tasks for **offline-verifiability** — whether
+the ask still makes sense inside the sandbox the test agent actually gets.
+That sandbox is initialized before the task starts (repo checked out,
+dependencies installed) and then has **no outbound network access**. So the
+question is: could a competent SWE complete AND verify your task entirely
+from within the initialized repo — and would their "it works" actually be
+trustworthy?
+
+The failure shape to catch: tasks whose *success criteria* live outside the
+sandbox. "Speed up our CI/CD pipeline" — the pipeline the work would be
+verified against isn't there. "Redeploy to prod" — there is no prod. "Migrate
+from Zendesk to Intercom" — the agent can't interact with either service, so
+it can only mock both ends, and mocks written without ever touching the real
+services almost certainly won't work at integration time. When a task has
+this shape, the grade measures how convincingly the agent pantomimes the
+work, not whether the work is right — and an agent that honestly says "I
+can't verify this from here" can end up scoring worse than one that
+confidently fakes it.
+
+What *doesn't* trip this check: external services as scenario dressing (a
+prompt set at a company that uses Stripe is realism, as long as the graded
+work and its verification are local), and integrations scoped to a documented
+protocol slice with a faithful local fake — ideally wired through the fake
+providers your repo already ships (see `/brainstorm-product-arcs` for the
+"simulate the protocol, not the product" filter this mirrors).
+
+**This check is advisory.** Where the line falls is a judgment call — a task
+can even be deliberately built around recognizing the sandbox's limits, with
+a holistic rubric that credits saying so. The report exists so you can *consider*
+where your success criteria live: each finding quotes the passage, says what a
+human SWE would need the network or a live system for, and offers a rescoping
+option, so the decision stays yours. Nothing here blocks your submission.
+
+Read these before deciding:
+
+1. `.claude/skills/_detector-worker-shell.md` — where to write the report and how to handle re-runs.
+2. `.claude/skills/detector-offline-verifiability/core.md` — the controlling test (offline-completable + offline-verifiable), the external-dependency shapes, the mock-fidelity boundary, what is NOT a finding, verdict enums, and the body schema.
+
+Compose the report per the schema in `core.md` and write it per `_detector-worker-shell.md`.
+
+## Acting on the verdict
+
+- **`offline-verifiable`** — the work and its verification both live inside
+  the workspace; any external names are scenario context or faithfully
+  faked. Good. Move on.
+- **`partial`** — the core of your task is offline-completable, but some
+  success criteria lean outside: a "works in prod"-shaped expectation, a
+  local proxy (config parses, unit tests pass) standing in for an external
+  outcome (the pipeline gets faster), or a mock whose fidelity is carrying a
+  lot of the grade. Read each finding and decide: tighten the prompt so it
+  asks for the local slice, point the criterion at your repo's fake provider,
+  or keep the framing deliberately and make sure your holistic rubric grades
+  only what the sandbox can check (crediting honest disclosure of the rest).
+- **`not-offline-verifiable`** — the system your task operates on (pipeline,
+  prod, third-party service) isn't in the sandbox and can't be faithfully
+  faked, so neither doing the work well nor verifying it can happen there.
+  Consider the rescoping option in each finding: extract the protocol slice
+  and build an adversarial local mock for it, reframe the ask as an
+  assessment or plan graded on repo evidence, or pick a different behavior to
+  test. If you believe the task works as-is, that's your call — but make sure
+  the holistic rubric never asks the grader (or the agent) for a verification
+  the sandbox cannot perform.
+- **`not-applicable`** — there's no prompt to assess yet. Draft it first.

worker-toolkit-potion-polyglot/.claude/skills/detector-offline-verifiability/core.md

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+# Offline-verifiability detector — core
+
+This file is the canonical, context-neutral content for the
+detector-offline-verifiability detector. It defines the signal (does the task
+make sense in a no-network sandbox?), the controlling test, the external-
+dependency shapes to recognize, the verdict enums, and the output schema. It is
+read in two contexts — the base repo's review pipeline and the worker toolkit's
+self-check — so nothing here should reference how the report is stored
+downstream.
+
+## What this detector is for
+
+Every task runs in a sandbox that is initialized up front — the repo checked
+out, dependencies installed — and then executes with **no outbound network
+access**. The agent under test can read, build, run, and test everything inside
+the workspace, and nothing outside it. A task fits that world when everything
+is totally verifiable from within the repo: offline-completable and
+offline-verifiable, because the setup happened before the network went away.
+
+Setup installs what the repo's own manifests and lockfiles declare **after
+`environment/workspace.patch` has been applied** — the image copies the patched
+workspace in and only *then* runs the dependency install. So a package the
+author added, upgraded, downgraded or re-pinned in the patch is present in the
+sandbox, and is never a completability finding; judge the manifests as the
+patch leaves them, not as the pinned commit left them. What is never installed
+is a library the ask requires the *agent* to add: acquiring that means `bundle
+add`, `npm install <pkg>`, `pip install` — a registry fetch, mid-task, after
+the network is gone.
+
+**Do not consider the task's network policy. At all.** `task.toml`'s
+`allow_internet` / `network_mode` / `allowed_hosts` fields are not about the
+agent — `allow_internet = true` is scaffold boilerplate carried by essentially
+every task so the *grading harness* can call its own API. It is not a grant of
+registry access to the task, and it is out of scope for this detector: do not
+read those fields, do not mention them in the report, and do not let them move
+the verdict.
+
+The corollary matters just as much: **a mid-run install that succeeded is not a
+clearance.** If the reference runs show the agent fetching the package from a
+registry, that is evidence the dependency was missing and needed — cite it as
+support for the finding, never as a reason to soften it. "The runs prove it
+worked, so this isn't a failure" is the wrong question, answered.
+
+Some task ideas don't really make sense in that world, because a human SWE
+would need internet access — or access to live systems that only exist outside
+the sandbox — to really do the task well or to verify the result. The
+canonical examples:
+
+> Speed up our CI/CD pipeline
+
+— you need access to that pipeline to verify your work. The pipeline's actual
+runtime, caching behavior, and bottlenecks live on an external system the
+sandbox doesn't have; the agent can edit config files but never observe whether
+anything got faster.
+
+> Redeploy to prod
+
+— prod doesn't exist in the sandbox environment. There is nothing to deploy
+to, so the "success" the prompt asks for cannot occur, let alone be checked.
+
+> Migrate from Zendesk to Intercom
+
+— the agent can't interact with either service, so it can't test the
+migration end-to-end; it's just mocking things out, and mocks written without
+ever touching the real services almost certainly won't work at integration
+time. The part that makes the task hard — does it actually work against the
+real thing? — is exactly the part the sandbox can't answer.
+
+When a task has this shape, the reference runs and the grade measure how
+convincingly the agent *pantomimes* the work, not whether the work is right.
+The verifier can't check the thing that matters, the rubric drifts toward
+style points, and an agent that (correctly) says "I can't verify this from
+here" may score worse than one that confidently fakes it.
+
+**The verifiability half of this detector is advisory.** Whether a task's
+success criteria live too far outside the sandbox is a judgment call — most real tasks mention external services *somewhere*, and a scenario
+can legitimately be about recognizing the limits of what's verifiable. A
+flagged verdict means "here is something to consider about where this task's
+success criteria live," never "this task is invalid." The author may have
+deliberately scoped the graded substance to the local slice, and the flag is
+the prompt to confirm that scoping is real.
+
+The completability half is not a judgment call. Whether a library the ask
+requires appears in any manifest is a fact you check, and a task that needs
+one that isn't there cannot be carried out here at all.
+
+## The controlling test
+
+For the task as a whole, ask:
+
+**Could a competent SWE complete AND verify this task entirely from within the
+initialized repo — packages already installed, no network — and would their
+"it works" claim actually be trustworthy?**
+
+Break that into the two halves:
+
+1. **Offline-completable.** Is everything the prompt asks for buildable from
+   what's in the workspace? Or does doing the work well require reaching
+   something outside — a live pipeline, a running production system, a
+   third-party API, a package registry, data that isn't in the repo?
+
+   **This half has a mechanical check, and it is not optional.** List every
+   library, framework, runner, or binary the ask or the rubric's criteria
+   name, then check each against every manifest and lockfile in the repo **as
+   the workspace patch leaves it** (`Gemfile`/`Gemfile.lock`, `package.json` + its lockfile,
+   `pyproject.toml`/`requirements*.txt`/`uv.lock`, `go.mod`, the Dockerfile).
+   Read the files — never settle this from knowledge of what the framework
+   supports. When a name is absent from all of them, the deciding question is
+   **integral or consequential**:
+
+   > If we rebuilt the image correctly, would this task still need the
+   > network?
+
+   - **Yes — integral.** The repo has no library for the thing the ask names:
+     migrate to Redis Cluster with no Redis client, add TOTP with no OTP gem,
+     write BDD features with no BDD runner, or a rubric that grades the fetch
+     itself ("the provider is installed and pinned compatibly"). Rebuilding
+     the image wouldn't help, because the dependency was never the repo's.
+     This is the completability failure — flag it, and cite the manifests you
+     read plus the runs that installed the package mid-session.
+   - **No — consequential.** The image simply forgot something the repo
+     already depends on: a runner, linter or type checker its own config
+     expects, or a sub-package the build skipped. That is an image-packaging
+     bug on our side, not a defect in the task's design. Do not flag the task
+     for it; record what is missing so the image can be fixed.
+2. **Offline-verifiable.** Where do the success criteria live? If the honest
+   check for "did this work?" is *outside* the sandbox — watch the pipeline
+   get faster, see the dashboard update, confirm the third-party service
+   accepts the calls, install the published package — then the sandbox can
+   only verify a proxy, and the question is whether that proxy is faithful
+   enough to carry the grade.
+
+A task passes when both halves stay inside the workspace: the deliverable is
+code, config, tests, or analysis over what's in the repo, and the rubric's
+success criteria are checkable against the repo (its test suite, its local
+mocks and fakes, its own artifacts). A task gets flagged when the success
+criteria live materially outside — external services, live pipelines, prod
+deploys, third-party SaaS integration, "check the dashboard," published-package
+behavior — even when the environment itself is perfectly healthy.
+
+**Mocks are the boundary case, and fidelity is the question.** External
+dependencies faked through a faithful local mock — a documented protocol
+(file formats, webhook signatures, return codes) simulated the way the repo
+already fakes its providers — keep a task offline-verifiable: the hard work is
+on the repo's side and the mock exercises it honestly. The flag condition is a
+mock that has to *invent* the external side because nobody can check it: an
+undocumented or proprietary behavior, a product rather than a protocol, or an
+integration whose entire difficulty is "does the real service accept this?"
+A useful rule of thumb: if the mock's spec could be written straight from
+public documentation and a correct integration against the mock would also be
+correct against the real service, the mock carries the verification; if the
+mock is a guess about the real thing, it doesn't.
+
+## Inputs
+
+Read from `harbor-tasks/<slug>/`:
+
+- `instruction.md` — the prompt the agent under test receives. The primary
+  surface: what is the agent actually being asked to deliver, and what would
+  "done, and correct" mean for that ask? For a snapshot / multi-turn task,
+  also read the standing user turns in the session history
+  (`environment/session.jsonl` or `session-full.jsonl`) — an ask that arrives
+  in a prior turn binds the agent the same way.
+- The grader guidance — context for what is actually verified. Resolve which
+  guidance file the grader actually reads (`bash scripts/guidance-target.sh
+  <slug>` — the worker shell's guidance-target resolution) and read that
+  file, never its sibling. This is
+  where the flag is confirmed or cleared: a prompt that *mentions* deployment
+  can still be graded entirely on local substance, and a local-sounding prompt
+  can hide a rubric criterion that only a live system could check ("the
+  webhook must be accepted by the provider"). Ask of each load-bearing
+  criterion: what would the grader look at, and is it in the workspace?
+- `environment/workspace.patch` and the workspace — context for whether the
+  external side is actually represented locally: an existing fake provider,
+  fixtures, a stub server, seeded data. A prompt naming a third-party service
+  reads very differently when the repo ships a faithful fake of it.
+- `reference-runs/*/grade.md` — not required, but a useful cross-check when
+  present: runs where the agent had to invent mock behavior wholesale, spent
+  its effort simulating an absent system, or was penalized for saying it
+  couldn't verify something the sandbox genuinely can't verify, all
+  corroborate the flag.
+
+## External-dependency shapes to look for
+
+- **Live infrastructure as the subject.** The deliverable is an operation on
+  a system that exists only outside the sandbox: speed up the CI/CD pipeline,
+  redeploy to prod, rotate the certs, fix the DNS, tune the production
+  database. The workspace may contain the *config* for these systems, but the
+  success criteria — the pipeline runs faster, the deploy succeeds — are
+  observable only on the real thing.
+- **Third-party SaaS integration as the deliverable.** Migrate from Zendesk
+  to Intercom, integrate the new payment provider, sync with the CRM — where
+  the graded outcome is end-to-end behavior against services the agent can't
+  reach, and no faithful local fake exists or could exist. (A protocol-slice
+  task against a documented contract with a faithful adversarial mock is the
+  acceptable version — see the controlling test.)
+- **Success criteria that name an external observation.** "Check the
+  dashboard," "confirm the metrics improve," "verify the alert fires in
+  PagerDuty," "make sure the docs site renders" — the rubric or prompt defines
+  done-ness as something seen on a system that isn't in the workspace.
+- **Published-artifact behavior.** Release the package and verify it installs
+  from the registry, publish the image, ship the SDK update to consumers —
+  the verifying step is inherently on the other side of the network boundary.
+- **Missing-at-runtime acquisitions.** The task's happy path requires
+  fetching something after the network is gone: installing a dependency that
+  isn't pre-installed or vendored, pulling a dataset from a URL, cloning
+  another repo, calling a real API for live data. (Setup-time installation is
+  fine only for what a manifest already declares — that got installed before
+  the shutoff. A package the ask tells the agent to add is not setup-time; it
+  is a runtime acquisition, and by then the network is gone.)
+
+- **An uninstallable dependency as the deliverable.** The ask names a
+  technology the repo does not carry — migrate the cache to Redis in an app
+  whose only cache gem is `solid_cache`, add TOTP and lockout to an app
+  shipping no auth library, add coverage or BDD tooling that appears in no
+  manifest — and the rubric grades the result as installed and working. The
+  graded substance can look entirely local (config, key shapes, call sites)
+  while step one is an impossible `bundle add`. A first-party framework
+  adapter still needs its gem: "documented upstream" is not "present here".
+- **External knowledge as the graded substance.** The rubric's success hinges
+  on looking up volatile external state — current API behavior of a live
+  provider, today's prices, the latest version of a service's schema — that
+  isn't captured in the workspace and can't be derived from it.
+
+## What is NOT a finding
+
+- **External services as scenario dressing.** A prompt set at a company that
+  uses Stripe, Zendesk, and AWS is realism. The question is where the *graded
+  work and its verification* happen — if the deliverable is repo code and the
+  rubric checks repo behavior, the named services are backdrop, not
+  dependencies.
+- **Protocol-slice integrations with a faithful local fake.** Build the
+  webhook verifier, parse the provider's documented file format, reconcile
+  against the seeded fixture service — especially when the repo already fakes
+  that provider and the task extends the existing seam. That is the sanctioned
+  way to do external-facing work offline.
+- **Deploy/CI config work graded on local substance.** Editing a CI config or
+  a deploy manifest where the rubric checks properties verifiable in the
+  workspace — the config parses, the referenced scripts exist and run, the
+  documented invariants hold — is bounded. It may still merit `partial` when
+  the *real* success criterion (the pipeline actually gets faster) is external
+  and the local checks are a thin proxy; say which.
+- **Assessments and plans about external systems, graded on repo evidence.**
+  "Review our migration plan," "assess what moving to Intercom would take" —
+  where the deliverable is analysis whose load-bearing claims are checkable
+  against the repo. A *plan* for external work is offline-verifiable; only
+  *executing and confirming* the external work isn't.
+- **Tasks deliberately about recognizing the limit.** A scenario can be built
+  so that the right behavior is to say "this part can't be verified from
+  here" — and the rubric credits exactly that. If the grader guidance treats
+  the boundary honestly (credits disclosure, doesn't demand the impossible
+  verification), the external dependency is the task working as designed.
+- **Hard-but-local work.** Big refactors, gnarly debugging, performance work
+  measured by local benchmarks — difficulty is not an offline-verifiability
+  problem. This detector is orthogonal to how hard the task is.
+
+## Verdict definitions
+
+- **`offline-verifiable`** — the controlling test passes: a competent SWE
+  could complete the ask and trust their own verification of it entirely
+  within the initialized workspace. External services, if named, are scenario
+  context or are represented by faithful local fakes; every load-bearing
+  rubric criterion is checkable against the repo.
+- **`partial`** — the core of the task is offline-completable and the rubric
+  mostly grades local substance, but some of the success criteria lean
+  outside the sandbox: a secondary "and it works in prod"-shaped expectation,
+  a mock whose fidelity is doing a lot of load-bearing work, a local proxy
+  (config parses, unit tests pass) standing in for an external outcome (the
+  pipeline is faster), or a prompt whose natural reading promises more
+  end-to-end confidence than the sandbox can deliver. The task works; the
+  author should look at each finding and decide whether to rescope, reword,
+  or accept the gap knowingly.
+- **`not-offline-verifiable`** — either half of the controlling test fails
+  outright. *Success-criteria form:* the system being operated on (pipeline,
+  prod, third-party service) isn't there and can't be faithfully faked, so
+  neither doing the work well nor verifying it can happen in the workspace.
+  *Completability form:* the ask names a technology the repo carries no
+  library for, so step one is a registry fetch that rebuilding the image
+  correctly would not remove. Whether the sandbox happened to permit that
+  fetch is irrelevant and plays no part in the verdict. A human SWE handed this task in this environment would say "I
+  can't actually do or check this from here."
+- **`not-applicable`** — nothing to assess: `instruction.md` is missing,
+  empty, or only template/placeholder content, and there is no session
+  history to read an ask from. Re-run once the prompt lands.
+
+`not-offline-verifiable` and `partial` are the flagged outcomes. Findings on
+the *verifiability* half stay advisory: where success criteria live is a
+judgment call, and the finding is a consideration for the author. A finding on
+the *completability* half is not — whether a named dependency appears in any
+manifest is a checked fact. Report it plainly and say which manifests you
+read. Only the integral-or-consequential call stands between that fact and
+the verdict, and the ask itself settles it: a library the repo never had is
+integral, a library the image forgot to install is ours to fix.
+
+## Confidence
+
+- **HIGH** — the call is unambiguous: the success criteria plainly live
+  outside the sandbox (or plainly don't), and the rubric confirms the
+  reading.
+- **MEDIUM** — at least one finding is genuinely two-sided: a mock whose
+  fidelity a reasonable reviewer might judge either way, or a prompt that
+  reads external but a rubric that grades local.
+- **LOW** — limited information: the rubric is thin or absent so you can't
+  tell what's actually verified, or the workspace's representation of the
+  external side couldn't be assessed.
+
+## Relationship to other detectors
+
+- **vs. detector-broken-dev-env.** That detector owns the *environment being
+  broken*: the workspace doesn't build, tests flake, artifacts contradict the
+  premise. This detector fires even when the environment is perfectly healthy
+  — the defect is that the TASK's success criteria live outside the sandbox.
+  "The tests won't run" is broken-dev-env; "no test that could run here can
+  tell you whether this worked" is this detector. A dependency the *ask*
+  requires but no manifest declares is this detector's (the env is fine, the
+  ask isn't completable); a dependency the *existing code* imports but no
+  manifest declares is broken-dev-env's (the env is broken).
+- **vs. detector-fact-check-rubric-claims.** Its reachability axis asks
+  whether a specific *fact* the rubric grades the response for knowing is
+  reachable from the package. This detector asks the structural version:
+  whether the task's *success criteria as a whole* are checkable from inside
+  the sandbox. A rubric criterion "the provider accepts the payload" can
+  surface in both — as an unreachable/unverifiable claim there, and as an
+  offline-verifiability finding here.
+- **vs. detector-meaningful-failure.** That detector asks whether the graded
+  failure is real, proportionate, and elicited. A not-offline-verifiable task
+  often *also* fails to elicit meaningfully (the runs are all pantomime), but
+  the diagnosis differs: meaningful-failure says "this failure isn't worth
+  grading"; this detector says "no one inside the sandbox can check the thing
+  being graded."
+- **vs. detector-answer-obviousness.** Unrelated axis (is the expected answer
+  inferable from the prompt?). No overlap expected; neither subsumes the
+  other.
+
+## Anti-patterns: do not do these
+
+- **Don't flag every mention of an external service.** Scenario realism
+  requires them. Trace the graded success criteria; flag only when *they*
+  live outside.
+- **Don't demand hermetic purity.** Nearly every repo talks to something.
+  The bar is the controlling test — complete AND verify from within the
+  initialized workspace — not "the prompt never says the word 'deploy'."
+- **Don't punish tasks that are honest about the boundary.** A rubric that
+  credits the agent for saying "this can't be verified from here" has priced
+  the sandbox in; that's a strength, not a finding.
+- **Don't treat a verifiability flag as a verdict on the author or the
+  task's worth.** That output is something to consider — a pointer at where
+  the success criteria live — phrased so the author can decide. Never assert
+  the task is invalid; never frame the finding as a failure. A
+  missing-dependency finding is the exception: it is a fact about the
+  manifests, so state it rather than softening it into a consideration.
+- **Don't consult the task's network policy.** `allow_internet`,
+  `network_mode` and `allowed_hosts` exist for the grading harness, not the
+  agent. Reading them can only mislead you here: nearly every task allows
+  egress, so weighing it would clear every missing-dependency finding in the
+  corpus. Judge the repo's manifests against the ask and nothing else.
+- **Don't clear a missing dependency because the framework supports it.**
+  "Rails ships `:redis_cache_store`", "pytest has a coverage plugin" — an
+  adapter existing upstream says nothing about whether the gem or package is
+  in this repo's lockfile. Open the manifest.
+- **Don't re-litigate env health.** Whether the workspace builds and the
+  suite passes belongs to detector-broken-dev-env. Assume a healthy env and
+  ask where the success criteria live — a healthy env does not imply the ask's
+  own dependencies are present, which is the completability check above.
+- **Don't cite evidence you haven't verified in the submitted package.**
+  Quote the prompt, rubric, and workspace as they exist in the actual
+  submission — not as you remember or infer them.
+
+## Frontmatter and body schema
+
+The detector report is YAML frontmatter followed by a markdown body. Both
+contexts produce the same shape; only the *sink* differs (the wrapping
+`SKILL.md` tells you where to send the report).
+
+**Frontmatter** — exactly these keys, exactly these enum values:
+
+```yaml
+---
+detector: detector-offline-verifiability
+verdict: offline-verifiable | partial | not-offline-verifiable | not-applicable
+confidence: HIGH | MEDIUM | LOW
+---
+```
+
+**Body sections**, in this order:
+
+```markdown
+# Offline-verifiability check: <slug>
+
+## Findings
+
+One block per finding, strongest first:
+
+### <short label> — <external-dependency shape> (<clear | partial>)
+
+- **Where:** the file (and line/section, or the turn for a session message)
+  where the ask or success criterion appears.
+- **Quote:** the passage verbatim, as a blockquote — never a paraphrase.
+- **Why it lives outside:** one or two sentences — what a human SWE would
+  need the network or a live system for, in doing or verifying this, and
+  what the sandbox can actually check instead.
+- **Something to consider:** a concrete rescoping option — grade the local
+  protocol slice, reword the ask as a plan/assessment, point the criterion
+  at the repo's fake provider, credit honest disclosure of the boundary —
+  worded so the author can decide whether to take it.
+
+For `offline-verifiable`, quote the strongest near-miss (the most
+external-sounding passage) and say why it was cleared. For `not-applicable`,
+name the missing artifacts.
+
+## Overall verdict
+
+2–3 paragraphs reducing the findings to the chosen verdict: where the
+task's success criteria live, whether the workspace (including any local
+fakes) can honestly check them, and — for verifiability findings, which are
+advisory — what a rescoping pass would consider first. For a
+missing-dependency finding, drop the hedging: name the package, name every
+manifest and lockfile you checked, and say the ask can't be completed offline
+as shipped. For `offline-verifiable`, why
+the near-misses are scenario context or faithfully mocked rather than live
+dependencies.
+```
+
+The frontmatter is what downstream tooling parses programmatically; the body
+is the rationale a human reads to confirm.

worker-toolkit-potion-polyglot/.claude/skills/detector-over-hinting/SKILL.md

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+---
+name: detector-over-hinting
+description: |
+  Self-check whether your task package hints at the answer, on either of two
+  surfaces you author. (1) **Prompt over-hinting**: your `instruction.md` (or a
+  standing user turn) gives part of the answer away, or states things any
+  professional SWE would do unprompted ("be sure to add tests", "cleanly
+  separate the view logic from the db logic") — converting a judgment the task
+  could have measured into an instruction the agent merely follows. (2) **Hints
+  leaking through code comments**: files you add or edit via
+  `environment/workspace.patch` — often drafted with AI assistance — can carry
+  over-helpful comments that narrate the obvious, explain intent, or point
+  straight at the planted defect or the change you expect. Distinguishes
+  genuine task constraints ("add a retry with exponential backoff capped at
+  30s" — fine) from giveaways ("hint: the bug is in the retry loop" — not).
+  Advisory by design: flagged findings are passages to reconsider, not
+  failures. Reads instruction.md + workspace.patch (+ the resolved holistic
+  rubric as calibration context); runs before or after reference runs exist.
+allowed-tools: Bash, Read, Write
+---
+
+# Over-hinting detector
+
+This skill checks one of your tasks for **over-hinting** — places where the
+package you author does the test agent's thinking for it, so the agent doesn't
+have to exercise the judgment your holistic rubric scores. Two surfaces:
+
+- **Your prompt.** The classic slips are directives any professional follows
+  unprompted — "be sure to add tests," "cleanly separate the view logic from
+  the db logic," "remember to handle edge cases" — and outright giveaways:
+  naming where the bug is, what the fix looks like, or the exact diligence
+  you're grading. A genuine requirement is different: "add a retry with
+  exponential backoff capped at 30s" defines *what to build*, like a real
+  ticket would. The line is whether the sentence pins down the deliverable or
+  shortcuts the noticing/finding/deciding that is the work.
+- **Comments in files you add via `workspace.patch`.** Files drafted with AI
+  assistance often carry assistant-style comments that are too helpful:
+  tutorial headers, line-by-line narration, "NOTE: doesn't handle X yet"
+  sitting exactly on the issue your task plants. The test agent reads the
+  workspace — a comment that locates the defect or narrates the intended
+  change is a hint just like one in the prompt, only easier to miss when
+  packaging.
+
+**This check is advisory.** Over-hinting is a judgment call — real requesters
+do sometimes over-specify, and you may keep a hint deliberately. The report
+exists so you can *consider hinting less*: each finding quotes the passage,
+says what it pre-empts, and offers a concrete de-hinting option, so the
+decision stays yours.
+
+Read these before deciding:
+
+1. `.claude/skills/_detector-worker-shell.md` — where to write the report and how to handle re-runs.
+2. `.claude/skills/detector-over-hinting/core.md` — the two surfaces, the requirement-vs-hint test, what is NOT a finding, verdict enums, and the body schema.
+
+Compose the report per the schema in `core.md` and write it per `_detector-worker-shell.md`.
+
+## Acting on the verdict
+
+- **`clean`** — your prompt reads like a real request and your workspace
+  additions speak in-world; nothing pre-empts the graded judgment. Good. Move
+  on.
+- **`partial-hinting`** — mild or borderline hints: SWE-obvious directives, a
+  directive that restates something your rubric genuinely requires, or
+  narrating comments away from the graded material. Read each finding and
+  decide: if the sentence isn't pinning down the deliverable, cut it and let
+  the rubric measure whether the agent does the professional thing unprompted.
+  If you keep one deliberately (e.g. your grader hard-requires tests and you
+  want that unambiguous), that's a legitimate call — the flag is just the
+  prompt to make it consciously.
+- **`clear-hinting`** — something in your prompt or an authored comment points
+  substantially at the answer your rubric scores — the defect's location, the
+  expected fix or plan, or the exact diligence being measured. Take the
+  de-hinting option in each finding: delete the giveaway, move the fact into
+  your holistic rubric (which the agent never sees), or rewrite it as an
+  in-world constraint. Comments are usually the easy fix — strip the
+  over-helpful ones from your patch, keeping what an in-world engineer would
+  plausibly have written. Then regenerate reference runs if the hint was
+  live in the ones you have, and re-run this skill.
+- **`not-applicable`** — there's no prompt or workspace patch to assess yet.
+  Draft them first.

worker-toolkit-potion-polyglot/.claude/skills/detector-over-hinting/core.md

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+# Over-hinting detector — core
+
+This file is the canonical, context-neutral content for the detector-over-hinting
+detector. It defines what the detector looks for, the two surfaces it inspects,
+the verdict enums, the patterns to recognize, and the output schema. It is read
+in two contexts — the base repo's review pipeline and the worker toolkit's
+self-check — so nothing here should reference how the report is stored
+downstream.
+
+## What this detector is for
+
+A task is only as good as the judgment it leaves to the agent under test. When
+the task package *hints* at the answer — in the prompt, or in comments inside
+files the task itself adds to the workspace — the agent doesn't have to
+exercise the judgment the rubric scores; it just has to read carefully. The
+task gets easier than the author intended, reference runs cluster high, and the
+graded behavior stops discriminating.
+
+Two hint surfaces, both authored by the task:
+
+1. **Prompt over-hinting.** `instruction.md` (or the final user turn of a
+   multi-turn task) gives away part of the answer, or states things any
+   professional SWE would do unprompted. "Be sure to add tests" and "cleanly
+   separate the view logic from the db logic" are the canonical examples: a
+   thoughtful colleague adds tests for a behavior change and keeps view logic
+   out of the db layer without being told, so saying it in the prompt converts
+   a judgment the task could have measured into an instruction the agent merely
+   follows. The stronger form points at the answer itself: "hint: the bug is in
+   the retry loop," "you'll probably need to touch the serializer," "the fix is
+   a one-liner."
+
+2. **Hints leaking through code comments.** Files added or modified by
+   `environment/workspace.patch` are often drafted with AI assistance, and
+   AI-generated comments tend to be too helpful: they narrate the obvious
+   line-by-line, explain intent a professional would infer from the code,
+   carry tutorial-style headers ("Step 1: validate the input"), or — worst —
+   point straight at the defect or the change the task expects ("NOTE: this
+   doesn't yet handle the negative-balance case"). The agent under test reads
+   the workspace; a comment that does its thinking for it is a hint exactly
+   like one in the prompt, just harder for the author to notice.
+
+**This detector is advisory.** Over-hinting is a judgment call, and a hint is
+rarely fatal on its own — the point of flagging is so the author can *consider
+hinting less*, not to fail the task. A flagged verdict means "here are the
+passages a de-hinting pass should look at," with each finding worded so the
+author can decide for themselves whether the hint is doing damage. Realism cuts
+both ways: real users do sometimes over-specify, and a task may deliberately
+model that. The detector still surfaces the hint; whether to keep it is the
+author's call.
+
+## The controlling test: requirement vs. hint
+
+For every candidate passage, ask two questions:
+
+1. **Would a professional SWE have done this anyway, unprompted?** If yes, the
+   sentence is not conveying information — it's pre-empting a judgment the
+   task could have measured. "Add tests," "keep the layers separated," "handle
+   errors gracefully," "make sure it's backwards compatible" are all
+   SWE-obvious directives when nothing in the task makes them contested.
+2. **Is this a genuine task constraint — something the request actually needs
+   to pin down — or a pointer toward the expected answer?** "Add a retry with
+   exponential backoff capped at 30s" is a genuine requirement: it defines
+   *what to build*, the way a real ticket would, and the rubric checks it.
+   "Hint: the bug is in the retry loop" defines nothing about the deliverable —
+   it exists only to shortcut the *finding*, which is the work.
+
+A passage is a hint when it fails one of these — when it hands over judgment,
+diligence, or discovery that the task is (or could be) measuring. It is a
+legitimate constraint when a real, busy requester would plausibly say it to
+define the deliverable, and the agent still has to figure out how to satisfy
+it.
+
+Use the grader guidance as calibration context, not as a hint surface
+(the agent under test never sees it): a directive that restates something the
+rubric genuinely requires and checks sits in the borderline zone. "Be sure to
+add tests" when the rubric's correctness signal really does hinge on tests is
+still worth flagging — the author could let the rubric measure whether the
+agent adds them unprompted — but flag it at LOW confidence and say so; the
+author may have good reasons to pin it down.
+
+## Inputs
+
+Read from `harbor-tasks/<slug>/`:
+
+- `instruction.md` — the prompt the agent under test receives. The primary
+  prompt surface. For a snapshot / multi-turn task, also read the load-bearing
+  user turns in the session history (`environment/session.jsonl` or
+  `session-full.jsonl`) — a hint in a standing instruction reaches the agent
+  the same way.
+- `environment/workspace.patch` — the diff of files the task adds to or edits
+  in the workspace. Scan the added/modified lines for hint-bearing comments,
+  docstrings, TODO/NOTE/FIXME markers, and freshly-authored README/doc prose.
+  You don't need to build the workspace; the patch text is the surface. The
+  workspace's pre-existing repo content is out of scope — only the task's own
+  additions are.
+- The grader guidance — calibration context only (see above): what does
+  the rubric actually score and require? A prompt sentence that merely
+  restates a graded requirement is borderline, not a clear hint. Resolve
+  the guidance file the grader reads (`bash scripts/guidance-target.sh
+  <slug>` prints its path, `tests/grader-guidance-consolidated.md` — the worker shell's
+  guidance-target resolution) and calibrate against the file it names,
+  never another document.
+- `reference-runs/*/grade.md` — not required, but a useful cross-check when
+  present: runs that uniformly sail through the intended difficulty, or a
+  grade that quotes an authored comment as the reason the agent found the
+  answer, corroborate that a hint is live.
+
+## Patterns to look for
+
+**Prompt surface (`instruction.md` / user turns):**
+
+- **SWE-obvious directives** — instructions any professional would follow
+  unprompted: "be sure to add tests," "cleanly separate the view logic from
+  the db logic," "write clean, maintainable code," "remember to handle edge
+  cases," "don't break existing functionality."
+- **Answer giveaways** — the prompt names the defect's location, mechanism, or
+  fix: "the bug is in X," "check the retry loop," "it's probably a race
+  condition," "you'll need to update the serializer too."
+- **Pre-announced diligence** — the prompt names the exact judgment or
+  verification the task is meant to measure: "double-check the timezone
+  handling" on a task whose intended failure is a timezone bug; "make sure the
+  migration is reversible" when reversibility is the graded catch.
+- **Difficulty disclaimers that orient the search** — "this is trickier than
+  it looks," "the obvious approach won't work here" attached to the specific
+  place where the intended difficulty lives.
+
+**Workspace-comment surface (`environment/workspace.patch` additions):**
+
+- **Defect pointers** — a comment adjacent to the planted issue that names or
+  gestures at it: "NOTE: doesn't handle concurrent updates yet," "FIXME:
+  validation is incomplete," "this assumes the list is sorted" placed exactly
+  where the assumption breaks.
+- **Solution narration** — comments that explain what a change *should* do or
+  what the next step is, effectively writing the agent's plan: "Step 1:
+  fetch…, Step 2: validate…," "eventually this should delegate to the
+  BillingService."
+- **Intent narration of the obvious** — line-by-line commentary a professional
+  would never write ("// increment the counter," "// return the result"), or
+  a tutorial-style header block that summarizes the file's mechanism in a way
+  the task expects the agent to work out by reading the code.
+- **Assessor's-eye framing** — a comment or doc that describes the file from
+  outside the scenario ("this is where the interesting part is," "the
+  important method is below") rather than as something an in-world engineer
+  would leave.
+
+## What is NOT a finding
+
+- **Genuine requirements and acceptance criteria.** "Add a retry with
+  exponential backoff capped at 30s," "the endpoint must stay
+  backwards-compatible with v1 clients," "use the existing PDF pipeline" —
+  specific asks that define the deliverable, which the rubric checks, are the
+  task, not hints. Precision about *what to build* is good authoring; the
+  detector fires on giveaways about *what the agent is supposed to notice,
+  decide, or find*.
+- **Domain context the agent genuinely needs.** Business constraints, in-world
+  background, a ticket's reproduction steps, what the requester already tried.
+  A busy user explaining their situation is realism, not hinting — even when
+  it's detailed.
+- **A false or contested premise stated in the prompt.** Tasks legitimately
+  model a requester who believes something wrong; the prompt asserting that
+  belief is the scenario, not a hint (the hint would be the prompt *also*
+  flagging that the belief is wrong).
+- **Pre-existing repo comments.** Comments that come from the source repo
+  unmodified are the codebase the agent must cope with; only the
+  `workspace.patch` additions/edits are in scope.
+- **In-world artifacts that carry the scenario.** A planted TODO or draft doc
+  can *be* the task's subject (e.g. the task is about an unfinished feature
+  the TODO marks). The flag condition is a comment that does the agent's
+  thinking — locates the defect, prescribes the change, or narrates the
+  judgment being graded — not that an authored comment exists. Ask: would an
+  in-world engineer plausibly have left this, and does the graded difficulty
+  survive it?
+- **Comments matching the repo's existing style.** Doc headers, license
+  blocks, docstrings on public APIs — additions that mirror how the codebase
+  already comments are craft, not hints.
+- **Detail level alone.** A long, thorough prompt is not over-hinted; a
+  two-line prompt can be. The measure is whether graded judgment survives the
+  text, not how much text there is.
+
+## Verdict definitions
+
+- **`clean`** — neither the prompt nor the authored workspace additions hint
+  at the answer or pre-empt SWE-obvious judgment. Genuine requirements,
+  domain context, and in-world artifacts are all clean (see the list above).
+- **`partial-hinting`** — mild or borderline hinting worth the author's
+  attention: SWE-obvious directives ("be sure to add tests," "separate the
+  view logic from the db logic"), a directive that restates a genuinely graded
+  requirement, narrating-the-obvious comments away from the graded material,
+  or a passage you can read either as scenario realism or as a nudge. The task
+  still works; a de-hinting pass would sharpen it.
+- **`clear-hinting`** — the prompt or an authored comment points substantially
+  at the answer the rubric scores: names the defect or its location,
+  prescribes the graded fix or plan, pre-announces the exact diligence being
+  measured, or a workspace comment sits on the planted issue and describes it.
+  The intended difficulty is materially reduced for any agent that reads
+  carefully.
+- **`not-applicable`** — nothing to assess: `instruction.md` is missing,
+  empty, or only template/placeholder content, and there is no session
+  history or `workspace.patch` to inspect. Re-run once the prompt lands.
+
+`clear-hinting` and `partial-hinting` are the flagged outcomes; `clean` and
+`not-applicable` are not. All flagged outcomes are advisory: they hand the
+author a list of passages to reconsider, and the author may keep any of them
+deliberately.
+
+## Confidence
+
+- **HIGH** — the call is unambiguous: a passage plainly gives the answer away
+  (or plainly nothing does), and the graded behavior is clear from the rubric.
+- **MEDIUM** — at least one finding is genuinely two-sided: a reasonable
+  reviewer might read the passage as legitimate constraint or scenario
+  realism.
+- **LOW** — limited information: the rubric is thin or absent so you can't
+  tell what's graded, or the directive overlaps a genuine graded requirement
+  ("be sure to add tests" when the rubric requires tests) and the call is the
+  author's to make.
+
+## Relationship to other detectors
+
+- **vs. detector-answer-obviousness.** Its over-cued shape owns the *fatal*
+  end of prompt cueing: the prompt names the exact graded behavior, so the
+  task cannot discriminate at all — a defect verdict about task validity.
+  This detector owns the *gradient below that*: hint-shaped prose worth a
+  de-hinting pass whether or not it fully disarms the task (SWE-obvious
+  directives, partial giveaways, difficulty disclaimers), plus the
+  workspace-comment surface, which answer-obviousness doesn't read. When a
+  prompt hint is total, expect both to fire — answer-obviousness on validity,
+  this detector on the concrete passages to rewrite.
+- **vs. detector-snapshot-leakage.** Leakage owns what the agent *inherits*
+  from a captured session — conversation context that hands over the answer.
+  This detector owns what the task *authors*: the prompt text and the
+  comments inside `workspace.patch` additions. A workspace file that leaks
+  the rubric's answer outright can fire both; each flags its own surface.
+- **vs. detector-cross-task-reference.** That detector scans the same
+  authored surfaces for a different defect (pointers to sibling tasks). A
+  comment can be both a sibling reference and a hint; the verdicts are
+  independent.
+
+## Anti-patterns: do not do these
+
+- **Don't flag specificity.** A precise, well-specified ask is good
+  authoring. The finding is a giveaway about the *graded* judgment,
+  discovery, or diligence — not detail about the deliverable.
+- **Don't flag the scenario's own material.** False premises, planted
+  in-world TODOs, and requester context are the task. Re-read the "What is
+  NOT a finding" list before flagging anything in that family.
+- **Don't demand a hint be fatal before flagging.** This detector is
+  advisory by design; a mild SWE-obvious directive is a legitimate
+  `partial-hinting` finding even though the task still works.
+- **Don't treat the flag as a failure either.** Word every finding so the
+  author can weigh it — quote the passage, say what it pre-empts, and offer
+  the de-hinted alternative. Never assert the task is broken because a hint
+  exists.
+- **Don't hunt hints in the grader guidance.** The agent under test
+  never sees it; it's calibration context for you, not a surface.
+- **Don't cite evidence you haven't verified in the submitted package.**
+  Quote passages as they exist in the actual `instruction.md`, session
+  history, and `workspace.patch` — not as you remember them or as the rubric
+  paraphrases them.
+
+## Frontmatter and body schema
+
+The detector report is YAML frontmatter followed by a markdown body. Both
+contexts produce the same shape; only the *sink* differs (the wrapping
+`SKILL.md` tells you where to send the report).
+
+**Frontmatter** — exactly these keys, exactly these enum values:
+
+```yaml
+---
+detector: detector-over-hinting
+verdict: clear-hinting | partial-hinting | clean | not-applicable
+confidence: HIGH | MEDIUM | LOW
+---
+```
+
+**Body sections**, in this order:
+
+```markdown
+# Over-hinting check: <slug>
+
+## Findings
+
+One block per finding, strongest first:
+
+### <short label> — <prompt-hint | comment-hint> (<clear | partial>)
+
+- **Where:** the file (and line/section for a patch hunk, or the turn for a
+  session message).
+- **Quote:** the passage verbatim, as a blockquote — never a paraphrase.
+- **What it pre-empts:** one or two sentences — the judgment, discovery, or
+  diligence the passage hands over, tied to what the rubric grades where
+  possible.
+- **De-hinting option:** a concrete alternative — delete the sentence, move
+  the fact into grader guidance, rewrite the directive as an in-world
+  constraint — worded so the author can decide whether to take it.
+
+For `clean`, quote the strongest near-miss (a specific requirement, a planted
+in-world TODO, a detailed prompt) and say why it was cleared. For
+`not-applicable`, name the missing artifacts.
+
+## Overall verdict
+
+2–3 paragraphs reducing the findings to the chosen verdict: which surface(s)
+hint and how strongly, whether the graded difficulty survives, and — because
+this detector is advisory — what a de-hinting pass would change first. For
+`clean`, why the near-misses are constraints or scenario material rather than
+hints.
+```
+
+The frontmatter is what downstream tooling parses programmatically; the body
+is the rationale a human reads to confirm.

worker-toolkit-potion-polyglot/.claude/skills/detector-rubric-clarity/SKILL.md

@@ -0,0 +1,42 @@
+---
+name: detector-rubric-clarity
+description: |
+  Self-check your holistic rubric for whether it's well-written
+  enough for a grader to apply consistently. Catches material ambiguity in
+  scoring tiers, heavy penalties, and pass/fail criteria, plus typos, grammar
+  errors, and disfluent prose that interrupt the reader. Doesn't flag
+  every microscopic ambiguity or awkward sentence — only what would
+  actually affect grading or block use.
+allowed-tools: Bash, Read, Write
+---
+
+# Rubric-clarity detector
+
+This skill checks the prose of your holistic rubric (the file
+`bash scripts/guidance-target.sh <slug>` resolves) for two failure shapes:
+material ambiguity in load-bearing wording (scoring tiers, heavy penalties,
+pass/fail criteria that two reasonable graders could apply differently)
+and copy-edit issues (typos, grammar errors, disfluent sentences) that
+make the doc fail to read professionally.
+
+Read these before deciding:
+
+1. `.claude/skills/_detector-worker-shell.md` — where to write the report and how to handle re-runs.
+2. `.claude/skills/detector-rubric-clarity/core.md` — what counts as material ambiguity vs. copy-edit issues, verdict definitions, frontmatter/body schema.
+
+Compose the report per the schema in `core.md` and write it per `_detector-worker-shell.md`.
+
+## Acting on the verdict
+
+- **`clear`** — the rubric reads professionally and the scoring criteria
+  pin down what a grader should look for. Good.
+- **`minor-issues`** — small copy-edit nits worth polishing but no
+  load-bearing ambiguity. Look at the issues list in the report; tighten
+  them up. No need to rebuild the rubric.
+- **`material-issues`** — at least one load-bearing scoring criterion is
+  ambiguous, OR the prose has enough errors that the doc doesn't read
+  professionally. Look at the "material ambiguities" section in the
+  report — those are the wordings to rewrite. Re-run this skill after
+  rewriting.
+- **`not-applicable`** — the rubric is missing, empty, or template-only.
+  Write the rubric first, then come back to this skill.

worker-toolkit-potion-polyglot/.claude/skills/detector-rubric-clarity/core.md

@@ -0,0 +1,208 @@
+# Rubric-clarity detector — core
+
+This file is the canonical, context-neutral content for the detector-rubric-clarity
+detector. It defines what counts as material ambiguity vs. copy-edit
+issues, the verdict enums, the patterns to recognize, and the output
+schema. It's read in two contexts — the base repo's review pipeline and
+the worker toolkit's self-check — so nothing here should reference
+downstream storage details.
+
+## What this detector is for
+
+The rubric — the grader-guidance file the grader actually reads (see Inputs for how to resolve it) — is hand-authored prose that a grader reads at scoring time. Two things can go wrong with the prose itself, independent of whether the rubric's *substance* is right (other detectors cover that):
+
+1. **Material ambiguity in load-bearing wording.** A scoring tier says "traces the flow accurately" — but "accurately" isn't defined. A heavy penalty says "if the agent dismisses the concern" — but what counts as "dismissing"? Two graders looking at the same answer can land in different tiers because the rubric's wording doesn't pin the criterion down.
+2. **Copy-edit issues that interrupt the reader.** Typos, broken grammar, sentences that don't parse on first read, prose that's so disfluent the grader stalls trying to figure out what's meant. The rubric is a working document a grader has to use under time pressure; a doc that doesn't read professionally throws sand in the gears.
+
+This detector flags both. It does **not** flag:
+
+- Every minor wording quirk. Natural language is inherently ambiguous; pedantic interpretations of fully-readable sentences are noise.
+- Stylistic preferences (passive voice, semicolon usage, oxford commas).
+- Awkward but understandable phrasing where the meaning lands cleanly on the first read.
+
+The operational test for ambiguity: **would two reasonable graders apply this scoring criterion differently because of the wording?** If yes, flag it. If no, leave it.
+
+The operational test for copy-edit issues: **does the doc read professionally, or does the prose interrupt the reader?** A typo or two in body sentences with otherwise solid prose: tolerable. Multiple typos, broken sentences, or disfluent phrasing throughout: not tolerable.
+
+## Inputs
+
+Read whatever you need from `harbor-tasks/<slug>/`. The load-bearing artifacts are:
+
+- The grader guidance — the primary input. Read every line. Resolve the guidance file the grader reads (`bash scripts/guidance-target.sh <slug>` prints its path, `tests/grader-guidance-consolidated.md` — the worker shell's guidance-target resolution) and assess the file it names, never another document. Judge the document against the Grading Standard's structure (task context, ground truth, one section per criterion); a document written under an earlier release may use an older structure (task and business context, strong/weak response descriptions, tier ladders) — judge it against the structure it actually uses, never for not following a structure it was not written to.
+- `instruction.md` — secondary. Use to confirm that an ambiguity in the rubric matters because the prompt depends on the rubric's interpretation. (An ambiguity buried in background context that no scoring criterion touches isn't material.)
+- `reference-runs/*/grade.md` — when present, read them. The operational test for ambiguity is "would two reasonable graders apply this differently?" — and the grade files are a record of graders actually applying this rubric. For each heavy deduction, tier boundary, and pass/fail rule, check whether the grades applied it the same way: did one grade apply a deduction that another skipped on similar behavior; did one N/A an axis that another scored; did grades read the same clause in incompatible ways? When they diverged, trace the divergence back to the specific sentence that permits both readings — that sentence is a material ambiguity, and the divergent grades are your evidence. Divergence alone isn't sufficient proof (graders are somewhat stochastic even on unambiguous rubrics), so always pair it with a concrete competing-readings analysis of the wording; but a sentence you'd have shrugged at in isolation becomes a confirmed problem when the grades demonstrably split on it.
+
+You do not need to read the workspace or source repo — this detector judges the prose, not the substance. But never *assert* anything about how the runs were graded ("all five grades applied the deduction consistently") unless you actually read the grade files. If no reference runs exist, judge the prose on its own and say so in the body.
+
+## Verdict definitions
+
+- **`not-applicable`** — the resolved guidance file is missing, empty, or contains only the unmodified template content (the header scaffolding without scored issues, all-TODO stubs, the default that ships with the task harness). There's no prose to evaluate; emit this and stop. A doc that was clearly *authored* but arrives incomplete is not `not-applicable` — that's `material-issues` (see below).
+
+- **`clear`** — the rubric reads professionally throughout. No material ambiguities in scoring criteria, heavy penalties, or pass/fail rules. A typo or two in body prose with otherwise solid sentences is fine — the bar is "reads professionally," not "is perfect." Two reasonable graders working from this rubric would apply each tier the same way.
+
+- **`minor-issues`** — small copy-edit issues exist (a few typos scattered through, one or two awkward-but-understandable sentences) but the doc still reads professionally and there are no material ambiguities in load-bearing wording. The grader can apply each scoring criterion consistently; the reviewer should still get a heads-up so the worker can polish the prose.
+
+- **`material-issues`** — at least one of:
+  - **Load-bearing ambiguity present.** A scoring-tier definition, heavy penalty, or pass/fail criterion uses wording that two reasonable graders would apply differently. The rubric needs the wording pinned down before it can grade consistently.
+  - **Doc no longer reads professionally.** Enough typos, grammar errors, or disfluent sentences that the prose interrupts the reader. The volume and shape of the issues add up to a doc that needs a copy-editing pass before it can be shipped.
+  - **Doc is structurally incomplete.** The file is truncated (ends mid-sentence or mid-code-block), or its own structure promises content that isn't there — a heading with nothing under it, a "see the heavy deductions below" pointing at a section that doesn't exist. A grader cannot apply a rubric that isn't all there. This is strictly about the doc's *own* promises going unfulfilled: a deliberately lean rubric that never promised more is fine, and whether a rubric defines "good" richly enough is a different detector's concern.
+
+## Confidence
+
+- **HIGH** — the call is unambiguous. Either the rubric is clearly clean, or the load-bearing ambiguity / copy-edit volume is plain to see.
+- **MEDIUM** — at least one finding is genuinely a judgment call. A different reviewer might read the same sentence as clear enough.
+- **LOW** — limited information (the rubric is very short, the prompt context is thin, or the criterion is in an unfamiliar domain). Verdict is best-guess.
+
+## What counts as "material ambiguity"
+
+The test isn't whether a word *looks* fuzzy — it's whether the rubric supplies enough privileged information (an answer key, a list of expected facts, the specific behaviors that count) for the grader to apply that word consistently. "Accurately traces" backed by an enumerated answer key is fine: the grader compares the answer to the key. "Accurately traces" with no key is not fine: the grader has nothing to check against. Trust the grader's judgment when ground truth is in the rubric; flag when it isn't.
+
+Concretely, the patterns that gate scoring without supporting ground truth:
+
+- **Judgment terms in scoring criteria, unsupported by ground truth.** "Thoroughly analyzes," "accurately traces," "appropriately balances," "substantially addresses." These are fine when the rubric has spelled out what the analysis must cover, what the trace looks like, or what a substantial answer includes (an answer key, a list of expected citations, the specific facts that mark each tier). They're material ambiguity when the rubric leans on the term to do the work and never spells out the standard — the grader has no way to apply it consistently.
+- **Behavioral verbs in heavy penalties, unsupported by ground truth.** "If the agent dismisses the concern," "if the agent fails to acknowledge X," "if the agent overstates Y." These work when the rubric has named the specific shape of dismissing/acknowledging/overstating (example phrasings, the load-bearing concern by name with citations, what an overstatement of this risk would sound like). They're material when the rubric uses the verb to gate scoring without supplying examples or specifics — the grader has to guess where the line is.
+- **All-or-nothing penalty triggers over in-between behavior.** A heavy penalty whose trigger reads as binary ("if the agent does not surface this gap") when real responses can land partway — the agent mentions the gap but mischaracterizes its consequence, or surfaces it wrapped in reassurance the user could miss. If the rubric doesn't say how the middle case scores, each grader improvises a partial penalty of their own size. Never describe a trigger as "mechanical" or "not a subjective call" without checking the runs (when present) for behavior that partially satisfies it — the unhandled middle case is usually sitting in the grades.
+- **"Must mention X" where X is itself undefined.** A criterion like "must mention the race condition" works when "the race condition" has been concretely identified earlier (specific file/line, the mechanism). It doesn't work when the rubric introduces "the race condition" without first defining which race, which line, which mechanism — the grader can't tell whether a tangential mention satisfies the criterion.
+- **Unclear pronoun referents in scoring-determining sentences.** "If the agent says this is fine, that's a B-tier response" — what is "this"? In a sentence that gates scoring, pronouns with multiple plausible antecedents make the call non-mechanical.
+- **Tier descriptions that overlap.** A-tier and B-tier descriptions that share most of their language without naming the specific difference that distinguishes them. The grader can't tell which tier a borderline answer belongs in.
+- **Conditional scope ambiguity.** "If A, then B unless C" sentences where the scope of "unless C" is unclear (does it modify B or the whole if-then?). Common in dense rubric prose.
+- **Deduction arithmetic the grading model can't apply.** Each scored criterion is scored 0.0–1.0, and the overall score is the mean of the non-N/A axes minus any heavy penalties the guidance directs at "the overall score" (each applied after the mean is computed, floored at 0.0 — the arithmetic the grader system prompt defines) — there is no 0–100 scale anywhere; magnitudes are fractions. Current doctrine phrases penalties with **no magnitude at all** — "apply a heavy penalty to <criterion>" — and the grader sizes the subtraction; a magnitude-free penalty is the sanctioned phrasing, never flag it as unapplyable (an explicit fraction in an older guidance document is applied as stated — also not a finding). Check every numeric score value against that model. A cap, deduction, or tier boundary written outside [0, 1] when used as a score value ("Verification & Thoroughness ≤ 20", "subtract roughly 45 points") is inert or ambiguous as written: one grader rescales by ÷100, another ignores the clause, a third guesses. An instruction to subtract from "the overall score" IS applyable — the grader subtracts it from the computed mean, and a penalty naming both a dimension and the overall applies in both places by design — so never flag overall-directed penalties as such; flag their *magnitudes* when they're off-scale, and check the stacking rules below. Mixed scales in one document (some clauses on 0–1, others on 0–100) force the grader to guess clause-by-clause.
+- **Penalty machinery the grading model can't apply: hard gates, caps, and pins.** Dealbreakers belong in a rubric as heavy point deductions, not as hard gates, score caps, or pinned values ("hard gate: overall ≤ 0.3", "pin Integrity at 0.1"). A rubric built on gate/cap/pin machinery uses a shape the grading model does not support, leaving each grader to improvise a translation — flag it and suggest re-expressing each gate as a heavy deduction on the axes it concerns.
+- **Deduction stacking ambiguity.** When a rubric attaches two effects to one defect (a deduction plus a floor, or two separately-stated deductions), it must say whether they're one penalty or two. Wording that can be read either way splits graders: some apply both halves, some drop one. (A single penalty naming both an axis and the overall score is not this — the grader system prompt defines that pairing: the axis subtraction attributes the failure, the overall subtraction applies after the mean.)
+- **Overlapping deductions without a count-once rule.** Two separately-stated deductions that can both fire on the same single defect. Unless the rubric says which one applies — or that the second fires only when it represents a genuinely distinct miss — graders double-count inconsistently.
+- **Asymmetric anchoring across tiers.** Failure outcomes carry concrete numbers while the strong outcome says only "very high" (or vice versa). Two graders can land 0.75 vs 0.95 on the same strong response because the strong end is unanchored.
+- **Penalty magnitude that empirically destroys ordering.** A heavy deduction so large that, in the reference-run grades, post-penalty scores no longer order responses by quality — a run that was stronger before the penalty finishes below a weaker one, or every response floored to a single value with no pre-penalty spread carrying the discrimination. Flag this only with run evidence: penalty size itself is the author's design prerogative, and a big number is never a finding on taste alone. An all-runs-penalized band whose pre-penalty axis scores still discriminate is a task working as designed, not a finding.
+- **Internal contradiction between sections.** One section permits or credits what another section deducts for or forbids — e.g., the calibration notes say an alternative load-bearing finding can clear the bar, while a later rule says holistic findings are not substitutes for the expected analysis. Two graders anchor on different halves of the contradiction and score the same response differently. Also confirm a deduction's stated value agrees everywhere it appears (including wherever `instruction.md` or the reference-run grades quote it).
+
+The kinds of ambiguity that are **not** material:
+
+- Judgment terms backed by ground truth. "Accurately," "thoroughly," "appropriately," and similar words are fine when the rubric has supplied the answer key, expected facts, or specific behaviors that let the grader recognize when the term applies. The grader is the wise human in the loop; we trust them to apply backed-up terms.
+- Mild verbal hedging in background prose that doesn't gate scoring ("the codebase generally uses…", "this pattern is usually…").
+- Genre-standard verbal shortcuts where the meaning is fixed by context (everyone knows what "a senior engineer would flag this" means in a rubric, even though "senior" isn't defined).
+- Ambiguities in rubric prose that the scoring tiers don't depend on.
+- Numbers greater than 1 that are not score values: counts ("misses 3 of the 4 call sites"), behavior thresholds ("if fewer than 80% of the tests pass"), line numbers, run counts, dollar amounts in the scenario. Only numbers that set or adjust an axis score (or the overall) get checked against the 0.0–1.0 scale.
+
+## What counts as "copy-edit issues"
+
+Things that interrupt the reader and make the doc fail to read professionally:
+
+- **Typos.** Misspellings, transpositions, missing/extra letters. ("addtional", "transfter", "stipulates" when "stipulate" was meant.)
+- **Grammar errors.** Subject-verb disagreement, wrong tense, mismatched plurality, broken constructions ("the agent provide" / "agents was").
+- **Disfluent sentences.** Sentences that don't parse on first read, or read like they were transcribed mid-thought. Run-ons that combine three ideas without punctuation. Sentence fragments masquerading as full sentences.
+- **Excessive verbatim repetition that adds noise.** A rubric is a formal pedantic working document, and parallel phrasing is often intentional — re-using the same construction across scoring tiers makes them easier to compare, and stable terminology helps the grader. Only flag repetition when the same sentence appears so often that the reader skims past it and the document would clearly read better with the boilerplate cut.
+- **Sentence-level awkwardness that interrupts the reader.** Clunky constructions where the reader has to back up and re-read to figure out what's meant. (Mild awkwardness is fine — the bar is whether the reader stalls.)
+- **Leftover toolkit-template content.** The grader-guidance file ships with a scaffold containing instructions like `<!-- REPLACE everything below this line with actual grader guidance. -->` and similar HTML-comment blocks. A finalized submission with that scaffold still present is shipping a doc that explicitly tells the grader the worker didn't finish — the scaffold itself says so. Treat trailing TODOs the same way: a "TODO: add scoring tier definitions" at the bottom of a finalized rubric is the worker telegraphing incompleteness.
+
+Things that are **not** copy-edit issues worth flagging:
+
+- Stylistic preferences (oxford commas, em-dash vs en-dash, passive voice, sentence length).
+- Fully-readable sentences with mild clunkiness.
+- Code-block formatting choices (backticks vs HTML `<code>`; bold via `**` vs `<b>`).
+- The rubric's overall structure (sections, headings, length) — that's a different kind of issue.
+
+## Verdict reduction in practice
+
+Apply the operational tests:
+
+1. **Did you find any material ambiguity in scoring-determining wording?** If yes → `material-issues`. Stop.
+2. **Is the doc structurally incomplete — truncated, or missing sections its own structure promises?** If yes → `material-issues`. Stop.
+3. **Did you find enough copy-edit issues that the doc no longer reads professionally?** If yes → `material-issues`. Stop.
+4. **Did you find a few minor copy-edit nits but the doc still reads professionally?** → `minor-issues`.
+5. **Is the rubric template/empty?** → `not-applicable`.
+6. **Otherwise** → `clear`.
+
+The threshold between `minor-issues` and `material-issues` on the copy-edit axis is a judgment call. Anchor on: a single typo in a long doc with otherwise tight prose is `minor`; a paragraph where every other sentence has a typo or grammar error is `material`. When in doubt, lean `minor-issues` for copy-edit-only findings — material-issues is for issues that actually block use, and we'd rather not cry wolf.
+
+The presence of load-bearing ambiguity escalates straight to `material-issues` regardless of copy-edit state. A pristinely-typed rubric whose A+/A tiers can't be distinguished is still not usable.
+
+Deduction-arithmetic findings follow the same logic, with one calibrated exception. A mismatch on a load-bearing deduction — mixed scales in one document, gate/cap/pin machinery, or grades showing the clause applied inconsistently — is `material-issues`. A single out-of-range number whose conversion is unambiguous in context (one "25" in a doc where every other value is correctly 0.xx) can go under `minor-issues` with MEDIUM confidence: graders sometimes rescale such a doc consistently, but the clause is still unapplyable as written and the worker should fix it.
+
+Magnitude is never the materiality test for arithmetic divergence. When the grades reconcile a clause several different ways, do not talk yourself out of the finding because "the wobble is bounded to a few hundredths" or "no reading crosses a scoring boundary" — check the *orderings* instead. If competing readings can reorder responses (a run that was stronger before the penalty finishing below a weaker one), the ambiguity is material no matter how small each individual reading's effect looks: a ranking inversion is the most damaging grading failure a rubric can produce.
+
+## Patterns to look for
+
+When reading the resolved guidance file, walk it in this order:
+
+1. **Scoring structure first.** The guidance defines a section per criterion, each with its own scoring guidance; a document written under an earlier release may define scoring tiers (A+ through D, or pass/fail) instead. Read the scoring bands back-to-back and ask: can I tell, from these descriptions alone, where a borderline answer would land? If two adjacent bands share most of their language without naming a specific distinguishing fact, that's material ambiguity. Apply the test to whatever scoring structure the document uses — a document without a tier ladder is following the Grading Standard, not exhibiting an issue.
+2. **Heavy deductions next.** "If the agent does X, subtract roughly N." Is "X" defined with enough specificity that a grader can mechanically check whether the agent did it? If "X" is "dismisses the concern" or "overstates the risk" without examples of what dismissing/overstating look like, that's material ambiguity. Then ask whether the trigger handles the middle case: responses that partially satisfy it (mention-but-mischaracterize, hedge-but-surface) — an all-or-nothing trigger over gradable behavior leaves the partial case to grader improvisation. Then check the *number*, when one is stated (current guidance normally states none — a magnitude-free "apply a heavy penalty" is the sanctioned phrasing, not ambiguity): is it on the 0.0–1.0 scale, and expressed as something the scoring model supports — a heavy deduction on named criterion scores and/or the overall score (the grader system prompt defines overall-directed subtractions: applied after the criterion mean, floored at 0.0), not gate/cap/pin machinery (an older rubric shape)? Finally check the deduction set as a whole for stacking and overlap: can two deductions be read as both firing on one defect?
+3. **"What a good response says" / "What a bad response says" pairs.** Are the criteria in these sentences load-bearing for tier placement? If yes, apply the same ambiguity test. Vague criteria here propagate into the tier definitions.
+4. **The document against itself.** With the tiers and deductions fresh, sweep for cross-section contradictions: does a section's closing rule match its lead sentence; does any tier bullet endorse behavior another section deducts for; do two sections give incompatible answers on whether one finding suffices; does every stated deduction value agree everywhere it's quoted? Internal contradiction is material ambiguity by definition — two graders anchor on different halves.
+5. **The grades, when present.** Read `reference-runs/*/grade.md` and check each heavy deduction and tier boundary for consistent application across runs (see Inputs). Divergence that traces to a specific sentence upgrades that sentence from "arguably fine" to confirmed material ambiguity.
+6. **Body prose throughout.** Skim for typos, broken grammar, and disfluent sentences. Group similar issues. Confirm the doc is structurally complete — it doesn't end mid-sentence or mid-code-block, and every section its own structure promises is present.
+
+## Anti-patterns: do not do these
+
+- **Don't flag every instance of natural-language ambiguity.** A rubric that says "the codebase generally uses Pulumi" doesn't need to define "generally." Body context isn't load-bearing; only scoring-determining wording is.
+- **Don't list every typo individually.** Group by paragraph or section. Five typos in one paragraph is one finding, not five.
+- **Don't flag stylistic preferences.** Passive voice, semicolons, em-dashes: none of these are copy-edit issues.
+- **Don't critique the rubric's substance.** "This criterion is too lenient" or "this heavy deduction is calibrated wrong" are meaningfulness or fact-check concerns — they belong in those detectors, not here. The arithmetic check asks only "can the grader apply this number in the scoring model as written?", never "is this number well chosen?"
+- **Don't convert grader stochasticity into findings.** Grades that differ in *score* while applying every criterion the same way are noise, not ambiguity. Only cite grade divergence when you can name the specific sentence whose competing readings produced it.
+- **Don't paraphrase away a clause's conditions.** When the body characterizes a penalty or criterion — conditional vs. unconditional, scoped vs. blanket, one-shot vs. per-instance — quote the clause verbatim and keep its qualifiers. Describing a conditionally-applied penalty as unconditional is a factual error in the report, and reviewers check.
+- **Don't propose major restructuring as a finding.** "The whole rubric should be reorganized" isn't a copy-edit issue — that's a separate concern. Stay scoped to wording-level issues.
+- **Don't flag the document for its structure.** Guidance under the Grading Standard has no tier ladder or strong/weak-response sections; a document written under an earlier release may have those and no per-criterion sections. Each shape is its own structure working as designed; judge the resolved file against the structure it uses.
+- **Don't escalate `minor-issues` to `material-issues` for cosmetic reasons.** The verdict gates whether the worker should rewrite vs polish; `material-issues` should mean "rewrite needed," not "could be tightened."
+
+## Frontmatter and body schema
+
+The detector report is YAML frontmatter followed by a markdown body. Both
+contexts produce the same shape; only the *sink* differs (the wrapping
+`SKILL.md` tells you where to send the report).
+
+**Frontmatter** — exactly these keys, exactly these enum values:
+
+```yaml
+---
+detector: detector-rubric-clarity
+verdict: clear | minor-issues | material-issues | not-applicable
+confidence: HIGH | MEDIUM | LOW
+---
+```
+
+**Body sections**, in this order:
+
+```markdown
+# Rubric-clarity check: <slug>
+
+## Material ambiguities
+
+For each load-bearing ambiguity (wording in a scoring tier, heavy penalty, or
+pass/fail criterion that two reasonable graders could apply differently),
+write a short block:
+
+### <short label>
+
+- **Where:** quote the verbatim sentence from the resolved guidance file and
+  name its location (scoring tier, heavy penalty, "what a good response says",
+  etc.).
+- **Why it's ambiguous:** 1–2 sentences naming the specific competing
+  readings a grader could land on, and why those readings would produce
+  different scores.
+- **Grade evidence (when reference runs exist):** if the reference-run
+  grades applied this criterion divergently, say how (which runs, which
+  readings). If they applied it consistently, you may say so — but only
+  after actually reading the grade files.
+- **Suggested rewrite (optional):** one concrete phrasing that pins the
+  criterion down. Skip if the right rewrite depends on the rubric author's
+  intent and you can't infer it from context.
+
+If there are no material ambiguities, write "None found." and move on.
+
+## Copy-edit issues
+
+A bulleted list of typos, grammar errors, and disfluent sentences. For each:
+quote the verbatim phrase and (if not obvious) one-line correction. Group
+similar issues — don't list ten typos one per line if they're scattered
+through a single paragraph; cite the paragraph once.
+
+If the doc reads professionally throughout, write "None found." Don't list
+stylistic preferences (passive voice, semicolon usage) — only things that
+are clearly errors or that interrupt the reader.
+
+## Overall verdict
+
+1–2 paragraphs synthesizing the above into the chosen verdict. Be explicit
+about which of (material ambiguity / copy-edit volume) drove the call.
+```
+
+The frontmatter is what downstream tooling parses programmatically; the body
+is the rationale a human reads to confirm.

worker-toolkit-potion-polyglot/.claude/skills/detector-rubric-coverage/SKILL.md

@@ -0,0 +1,67 @@
+---
+name: detector-rubric-coverage
+description: |
+  Self-check that your atomic rubric fully captures your holistic rubric.
+  Verifies four things. Every load-bearing requirement, penalty, and
+  "do not penalize" rule in the holistic rubric maps to a criterion. No
+  criterion invents a requirement or an answer-key fact the holistic rubric
+  does not support. The holistic rubric's context sections survive in
+  `tests/grader-context.md`. Every heavy penalty that targets the overall
+  score is encoded as a crux criterion, or at `certain_dealbreaker` once two
+  criteria already carry crux. Restructuring is never flagged; only
+  content differences that change scoring are. Reads the holistic rubric,
+  `tests/atomic-rubric.yaml` (or `tests/rubrics.yaml`), and
+  `tests/grader-context.md`. Emits `not-applicable` when the task has no
+  atomic rubric yet.
+allowed-tools: Bash, Read, Write
+---
+
+# Rubric-coverage detector
+
+This skill checks that your atomic rubric and your holistic rubric express the
+same task. The atomic rubric restructures the holistic rubric into criteria.
+It must not lose scoring content, and it must not add scoring content.
+
+The failure shapes to catch:
+
+- **A lost requirement or penalty.** The holistic rubric requires something,
+  or penalizes something, and no criterion captures it. A response the
+  holistic rubric would mark down now scores clean.
+- **A lost "do not penalize" rule.** The holistic rubric protects a behavior,
+  and the criteria drop the protection. The atomic rubric now penalizes what
+  the holistic rubric permits.
+- **Invented content.** A criterion requires something the holistic rubric
+  never asks for, or states an answer-key fact with no source in the holistic
+  rubric or the context document.
+- **Lost context.** A ground-truth fact that criteria rely on is missing from
+  both `tests/grader-context.md` and the criteria themselves.
+- **A crux mismatch.** The holistic rubric applies a heavy penalty against
+  the overall score, and no criterion carries `severity: crux` to encode it.
+  A task carries at most two crux criteria; once two are designated, a
+  further overall-score penalty is correctly encoded at `certain_dealbreaker`.
+
+Read these before deciding:
+
+1. `.claude/skills/_detector-worker-shell.md` — where to write the report and how to handle re-runs.
+2. `.claude/skills/detector-rubric-coverage/core.md` — what counts as a coverage gap versus invented content, the crux-alignment rule, what is deliberately not a finding, verdict definitions, and the body schema.
+
+Compose the report per the schema in `core.md` and write it per `_detector-worker-shell.md`.
+
+## Acting on the verdict
+
+- **`clear`** — the atomic rubric fully captures the holistic rubric. A
+  grader scoring from either form would land in the same place.
+- **`minor-issues`** — the load-bearing mapping is sound, but some
+  non-load-bearing content drifted. Read the findings and tighten the
+  conversion. There is no need to rebuild the rubric.
+- **`material-issues`** — a load-bearing requirement, penalty, or protection
+  is missing, a criterion invents content, needed context is gone, or a
+  heavy penalty against the overall score has no criterion encoding it at
+  `crux` (or at `certain_dealbreaker` once two crux criteria exist). Fix the
+  named findings in the atomic rubric. If a finding reveals that the
+  holistic rubric itself needs the change, edit the holistic rubric first
+  and then re-convert, so the two forms stay in agreement. Re-run this
+  skill after editing either file.
+- **`not-applicable`** — the task has no atomic rubric yet, or no holistic
+  rubric to compare it against. Write the missing rubric first, then come
+  back to this skill.

worker-toolkit-potion-polyglot/.claude/skills/detector-rubric-coverage/core.md

@@ -0,0 +1,318 @@
+# Rubric-coverage detector — core
+
+This file is the canonical, context-neutral content for the detector-rubric-coverage
+detector. It defines what counts as a coverage gap between a task's holistic
+rubric and its atomic rubric, what counts as invented content, the verdict
+enum, and the output schema. It is read in two contexts — the base repo's
+review pipeline and the worker toolkit's self-check — so nothing here should
+reference downstream storage details.
+
+## What this detector is for
+
+A task carries its grading requirements in two forms. The **holistic rubric** is
+the prose document the grader reads. The **atomic rubric** is the same
+requirements expressed as a list of criteria in `tests/atomic-rubric.yaml`,
+each one independently judgeable, with the generalized context sections
+preserved in the companion document `tests/grader-context.md`. The two forms
+must express the same task. The atomic rubric restructures the holistic
+rubric; it does not extend it, and it does not shrink it.
+
+This detector verifies that equivalence in both directions:
+
+1. **Nothing load-bearing is lost.** Every requirement, penalty, and
+   non-trigger in the holistic rubric that affects scoring maps to a criterion,
+   or to a criterion's elaboration.
+2. **Nothing is invented.** No criterion introduces a requirement, an
+   answer-key fact, or a severity that the holistic rubric does not support.
+3. **Context survives.** The holistic rubric's context sections (task context,
+   business context, ground truth) are preserved in `tests/grader-context.md`,
+   so criteria that lean on those facts still have them available.
+4. **Crux designations match.** The `crux` severity tier is reserved for a
+   criterion that encodes a heavy penalty of the holistic rubric targeting the
+   overall score, and a task carries at most two crux criteria. A heavy
+   penalty against the overall score with no criterion encoding it is a
+   material gap. When the holistic rubric carries more overall-score heavy
+   penalties than the cap allows, the two that define the task's failure mode
+   carry `crux` and the rest carry `certain_dealbreaker`; a surplus penalty
+   encoded that way is covered, not mismatched.
+
+This detector does **not** judge:
+
+- Whether the criteria are well-formed as artifacts. Schema validity,
+  atomicity, and phrasing belong to the detector-rubric-form detector.
+- Whether the holistic rubric's substance is right. Meaningfulness, factual
+  accuracy, prose clarity, and generality belong to their own detectors.
+- Style differences between the two forms. Restructuring is the point of the
+  conversion. A coverage finding requires a scoring-relevant difference in
+  content, never a difference in shape.
+
+## Inputs
+
+Read from `harbor-tasks/<slug>/`:
+
+- The holistic rubric — primary. Resolve it with
+  `bash scripts/guidance-target.sh <slug>`, which prints the path to the file
+  the grader reads (`tests/holistic-rubric.md`; a task packaged under an
+  earlier release carries it as `tests/grader-guidance-consolidated.md` or
+  `tests/grader-guidance.md`). Read every line of the file the resolver names,
+  and never assess a different document.
+- `tests/atomic-rubric.yaml` — primary. A task packaged under an earlier
+  release carries the same artifact as `tests/rubrics.yaml`; when
+  `tests/atomic-rubric.yaml` is absent, assess `tests/rubrics.yaml`.
+- `tests/grader-context.md` — the atomic rubric's companion context document.
+  Read it in full; it is where dropped holistic context is supposed to have
+  landed.
+- `instruction.md` — secondary. Use it to confirm that a holistic requirement
+  is load-bearing for scoring before flagging its absence as material.
+
+You do not need the workspace, the reference runs, or the source repo. This
+detector compares two documents; it does not verify their claims against code.
+
+## Verdict definitions
+
+- **`not-applicable`** — there is no atomic rubric to assess (neither
+  `tests/atomic-rubric.yaml` nor `tests/rubrics.yaml` exists), or there is no
+  holistic rubric to compare it against. Name the missing side in the body,
+  emit this verdict, and stop.
+
+- **`clear`** — the atomic rubric fully captures the holistic rubric. Every
+  load-bearing requirement, penalty, and non-trigger maps to a criterion; no
+  criterion invents content; the context sections survive in
+  `tests/grader-context.md`; crux designations line up with the holistic
+  rubric's overall-score heavy penalties within the two-crux cap.
+
+- **`minor-issues`** — the mapping is sound where it matters, but
+  non-load-bearing content drifted: background nuance was condensed away, a
+  fulfillment shape from the holistic prose did not make it into an
+  elaboration, or a criterion carries harmless connective prose with no
+  holistic source. A grader scoring from either form would land in the same
+  place; the worker should still tighten the conversion.
+
+- **`material-issues`** — at least one of:
+  - **A load-bearing gap.** A requirement, penalty, or non-trigger that
+    affects scoring in the holistic rubric has no criterion that captures it.
+  - **Invented content.** A criterion requires something the holistic rubric
+    never requires, or states an answer-key fact with no basis in the holistic
+    rubric or the context document.
+  - **Context loss criteria depend on.** A ground-truth or context fact that
+    criteria lean on is present in the holistic rubric but absent from both
+    `tests/grader-context.md` and the criteria themselves.
+  - **A crux mismatch.** A heavy penalty in the holistic rubric that targets
+    the overall score has no crux criterion encoding it, unless two criteria
+    already carry `crux` and the penalty is encoded at `certain_dealbreaker`.
+
+## Confidence
+
+- **HIGH** — the mapping is unambiguous in both directions, or a gap is plain
+  to see (a whole heavy penalty with no criterion anywhere near it).
+- **MEDIUM** — at least one call rests on judging whether a clause is
+  load-bearing or whether an elaboration's coverage of it is close enough.
+- **LOW** — limited information (a very short holistic rubric, an unfamiliar
+  domain, or heavy restructuring that makes the mapping genuinely hard to
+  trace).
+
+## What counts as a coverage gap (holistic → atomic)
+
+Walk the holistic rubric clause by clause and locate each of these in the
+atomic rubric:
+
+- **Requirements.** Everything the holistic rubric says a response should do,
+  surface, state, or include. Tier prose counts: the content of a strong-tier
+  description is a set of requirements, and each load-bearing one needs a
+  criterion. The tier scaffolding itself does not need to survive; its content
+  does.
+- **Penalties.** Every deduction the holistic rubric directs at a criterion or
+  at the overall score. The penalty's *trigger* must be captured by a
+  criterion whose failure corresponds to it. The penalty's *magnitude* does
+  not survive, by design — the atomic rubric expresses weight through
+  `category` and `severity`, so check that the assigned severity is
+  proportionate to the holistic penalty's weight. A penalty that names both a
+  criterion and the overall score is one dealbreaker, not two; one criterion
+  captures it.
+- **Non-triggers.** Statements that protect behavior from penalties: "do not
+  penalize X", "X is acceptable", "either A or B clears the bar", "when the
+  condition is unmet, this does not apply". These prevent over-penalizing.
+  When a non-trigger is dropped, the atomic rubric penalizes what the holistic
+  rubric permits — a criterion phrased without the exception, or missing the
+  either/or fork, is a gap even though every requirement is present. Look for
+  the protection in the criterion's guideline (conditional or either/or
+  phrasing) or its elaboration (fulfillment shapes, does-not-fire notes).
+- **Answer-key facts.** The specific facts, citations, and mechanisms the
+  holistic rubric supplies as ground truth. Each must survive either inline in
+  the criterion that grades it or in `tests/grader-context.md`. A criterion
+  that says "the response should identify the defect" whose defect is defined
+  nowhere in the atomic package has lost its key.
+- **Conditions and qualifiers.** A penalty the holistic rubric applies
+  conditionally must not become an unconditional criterion, and a scoped
+  requirement must not become a blanket one. Compare qualifiers clause by
+  clause.
+
+## What counts as invented content (atomic → holistic)
+
+Walk the criteria and check each against the holistic rubric and the context
+document:
+
+- **New requirements.** A guideline requiring something the holistic rubric
+  never asks for. The conversion is not the place to add scope; a genuinely
+  missing requirement belongs in the holistic rubric first, so both forms stay
+  in agreement.
+- **New answer-key facts.** A bolded key, citation, or mechanism stated in a
+  criterion with no support in the holistic rubric or the context document.
+  Whether such a fact is *true* is a different detector's job; here the
+  finding is that the two forms no longer say the same thing. Tightening an
+  existing fact (adding a file and line to a mechanism the holistic rubric
+  already names) is not invention.
+- **Severity without basis.** A `crux` criterion with no heavy penalty against
+  the overall score behind it in the holistic rubric. Crux weighting dominates
+  the aggregate score, so an unsupported crux re-weights the whole rubric;
+  treat it as material when it dominates scoring and as minor when the backing
+  penalty is arguable (for example, a moderate overall-score penalty, which
+  belongs at a normal severity tier rather than crux).
+- **New requirements smuggled into elaboration.** An elaboration is for
+  fulfillment shapes and clarification. When it adds a requirement, check the
+  holistic rubric for it; content with no holistic basis is a coverage finding
+  here, and the guideline-vs-elaboration placement is the
+  detector-rubric-form detector's lane.
+
+## What is NOT a finding
+
+- **Restructuring.** Tiers dissolving into criteria, strong/weak prose
+  becoming fulfillment shapes in elaborations, one holistic paragraph
+  collapsing into one criterion, or one holistic penalty becoming a base
+  criterion plus a worse-variant criterion that fails in addition to it
+  (paired escalation is a sanctioned encoding of "this variant is strictly
+  worse").
+- **Dropped penalty magnitudes.** The atomic rubric carries no numeric
+  penalty amounts by design. A "subtract roughly 0.35" that survives only as
+  a severity tier is the conversion working.
+- **Dropped generic scoring mechanics.** Floor-at-zero notes, "penalties are
+  never ceilings", and similar task-independent mechanics belong to the shared
+  grading machinery, not to per-task criteria.
+- **Condensed context.** `tests/grader-context.md` may compress the holistic
+  rubric's context prose. The finding is a lost *fact* that criteria rely on,
+  never lost word count.
+- **Wording differences with the same scoring effect.** Judge what a grader
+  would do, not whether the sentences match.
+- **A duplicated file set.** Both rubric forms sitting side by side in
+  `tests/` is the intended package shape, not redundancy.
+
+## How to work
+
+1. Read the holistic rubric end to end and list its load-bearing clauses:
+   requirements, penalties (with their targets and conditions), non-triggers,
+   and answer-key facts.
+2. Read `tests/atomic-rubric.yaml` (or `tests/rubrics.yaml`) end to end,
+   guideline and elaboration both, and `tests/grader-context.md` in full.
+3. Map each holistic clause to the criterion or context section that captures
+   it. Record the criterion `id`. A clause may map to several criteria and
+   several clauses may map to one criterion; what matters is that the scoring
+   content lands somewhere.
+4. Sweep the reverse direction: for each criterion, find its holistic source.
+5. Check the crux designations against the holistic rubric's heavy penalties
+   that target the overall score, in both directions, allowing for the
+   two-crux cap: once two criteria carry `crux`, a further overall-score
+   penalty is correctly encoded at `certain_dealbreaker`.
+6. Reduce to a verdict per the definitions above.
+
+Never assert a mapping you have not traced. If you claim a clause is covered,
+name the criterion id that covers it.
+
+## Anti-patterns: do not do these
+
+- **Don't flag the restructuring itself.** The two forms are supposed to look
+  different. Only content differences with scoring effect are findings.
+- **Don't demand one criterion per holistic sentence.** Several parallel facts
+  from one derivation may live in one criterion, and one dense holistic
+  paragraph may fan out into several criteria.
+- **Don't paraphrase away qualifiers.** Quote the holistic clause verbatim,
+  conditions included, and quote the criterion text verbatim next to it.
+  Describing a conditionally-applied penalty as unconditional is a factual
+  error in the report.
+- **Don't re-litigate substance.** "This requirement is an over-ask" is the
+  meaningfulness detector's lane. Here the holistic rubric is the reference,
+  right or wrong.
+- **Don't treat sharpened citations as invention.** A criterion may pin an
+  existing holistic fact to a file and line. Invention means a *new* fact or
+  requirement, not a more precise statement of an existing one.
+- **Don't count a both-targets penalty twice.** A holistic dealbreaker may
+  direct its penalty at a criterion and at the overall score together; that is
+  one dealbreaker, encoded once.
+
+## Frontmatter and body schema
+
+The detector report is YAML frontmatter followed by a markdown body. Both
+contexts produce the same shape; only the *sink* differs (the wrapping
+`SKILL.md` tells you where to send the report).
+
+**Frontmatter** — exactly these keys, exactly these enum values:
+
+```yaml
+---
+detector: detector-rubric-coverage
+verdict: clear | minor-issues | material-issues | not-applicable
+confidence: HIGH | MEDIUM | LOW
+---
+```
+
+**Body sections**, in this order:
+
+```markdown
+# Rubric-coverage check: <slug>
+
+Assessed: <resolved holistic rubric path> against <atomic rubric path> and tests/grader-context.md
+
+## Coverage map
+
+One table row per load-bearing holistic clause (requirement, penalty, or
+non-trigger):
+
+| Holistic clause (short, verbatim key phrase) | Criterion id(s) | Status |
+| --- | --- | --- |
+| "…" | criterion-id | covered / partial / missing |
+
+## Coverage gaps
+
+One block per `partial` or `missing` row:
+
+### <short label>
+
+- **Holistic clause:** the verbatim sentence(s) and their location (section
+  or heading in the holistic rubric).
+- **Closest criterion:** the criterion id that comes nearest, quoted, or a
+  statement that none exists.
+- **What is lost:** 1-2 sentences on the scoring effect of the gap — which
+  responses now score differently under the atomic rubric.
+- **Suggested criterion (optional):** a concrete guideline that would close
+  the gap.
+
+If there are no gaps, write "None found." and move on.
+
+## Invented content
+
+One block per criterion (or elaboration) with content the holistic rubric
+does not support: quote the criterion text verbatim, state what was searched
+for in the holistic rubric and the context document, and name the scoring
+effect. If there is none, write "None found."
+
+## Context integrity
+
+Whether the holistic rubric's context sections survive in
+tests/grader-context.md. Name any fact that criteria rely on that is missing
+from both the context document and the criteria. If everything survives,
+say so.
+
+## Crux alignment
+
+List every heavy penalty in the holistic rubric that targets the overall
+score and the criterion encoding it (`crux`, or `certain_dealbreaker` once
+two crux criteria are designated), and every crux criterion and the penalty
+backing it. Flag mismatches in either direction.
+
+## Overall verdict
+
+1-2 paragraphs reducing the findings to the chosen verdict. Be explicit about
+which direction (gap, invention, context loss, crux mismatch) drove the call.
+```
+
+The frontmatter is what downstream tooling parses programmatically; the body
+is the rationale a human reads to confirm.

worker-toolkit-potion-polyglot/.claude/skills/detector-rubric-form/SKILL.md

@@ -0,0 +1,73 @@
+---
+name: detector-rubric-form
+description: |
+  Self-check that your atomic rubric is well-formed. A deterministic contract
+  checks the artifact: the file parses against the criterion schema,
+  ids are kebab-case and unique, category and
+  severity use the defined vocabularies, extra_credit criteria carry no
+  severity, at most 2 criteria are crux, `dimensions` names grading-standard
+  criteria, and no text states a numeric penalty amount. A judgment layer
+  checks the writing: each guideline is one positively phrased,
+  independently judgeable requirement, criteria stand alone, factual
+  criteria carry their answer key inline in bold, and elaborations clarify
+  the guideline instead of adding requirements. Reads
+  `tests/atomic-rubric.yaml` (or `tests/rubrics.yaml`) and
+  `tests/grader-context.md`. Emits `not-applicable` when the task has no
+  atomic rubric yet.
+allowed-tools: Bash, Read, Write
+---
+
+# Rubric-form detector
+
+This skill checks your atomic rubric as an artifact. Each criterion is scored
+on its own, and the aggregate score is computed from `category` and
+`severity`. That only works when the file obeys the schema and each criterion
+states one requirement a grader can judge independently.
+
+The failure shapes to catch:
+
+- **Schema violations.** The file fails to parse, ids repeat or are not
+  kebab-case, a category or severity value is outside the vocabulary, an
+  extra_credit criterion carries a severity, more than 2 criteria are crux,
+  or `dimensions` is empty.
+- **Numeric penalty language.** A guideline, elaboration, or
+  `tests/grader-context.md` sentence states a penalty amount, such as
+  "subtract roughly 0.35". Penalty weight is expressed through category and
+  severity. Sizing the subtraction is the grading machinery's job.
+- **Negation-phrased guidelines.** A guideline says "should not" or "must
+  not" instead of stating the requirement positively. Use "The response
+  should avoid X" for prohibitions.
+- **Bundled or fragmentary criteria.** One criterion packs several
+  independent requirements, so a grader must improvise a partial verdict.
+  Or a criterion cannot be judged without reading a sibling criterion.
+  Parallel facts from one derivation may share a criterion.
+- **Missing answer keys.** A criterion grades the response for surfacing a
+  specific fact, and the fact is not stated inline in bold in the guideline.
+- **Requirements hidden in elaborations.** An elaboration adds a requirement
+  the guideline never states.
+- **Unfair grading shapes.** Criteria spent on trivially-satisfied
+  properties, two criteria that both fire on one defect with no note saying
+  which one charges, phrasing that forecloses an approach the rubric's own
+  text treats as acceptable, or a requirement the task's environment cannot
+  satisfy.
+
+Read these before deciding:
+
+1. `.claude/skills/_detector-worker-shell.md` — where to write the report and how to handle re-runs.
+2. `.claude/skills/detector-rubric-form/core.md` — the deterministic contract with its pattern sweeps, the judgment checks, what is deliberately not a finding, verdict definitions, and the body schema.
+
+Compose the report per the schema in `core.md` and write it per `_detector-worker-shell.md`.
+
+## Acting on the verdict
+
+- **`clear`** — the file passes the deterministic contract and the criteria
+  read as a working rubric. Good.
+- **`minor-issues`** — the contract passes, and the findings are
+  polish-level. Read the findings list and tighten the criteria. There is no
+  need to rebuild the rubric.
+- **`material-issues`** — the file breaks the deterministic contract, or at
+  least one criterion cannot be graded as written. Fix every finding in the
+  deterministic-contract section first, then the judgment findings. Re-run
+  this skill after editing.
+- **`not-applicable`** — the task has no atomic rubric yet. Write the atomic
+  rubric first, then come back to this skill.

worker-toolkit-potion-polyglot/.claude/skills/detector-rubric-form/core.md

@@ -0,0 +1,301 @@
+# Rubric-form detector — core
+
+This file is the canonical, context-neutral content for the detector-rubric-form
+detector. It defines the deterministic contract an atomic rubric must satisfy,
+the judgment checks on top of it, the verdict enum, and the output schema. It
+is read in two contexts — the base repo's review pipeline and the worker
+toolkit's self-check — so nothing here should reference downstream storage
+details.
+
+## What this detector is for
+
+The **atomic rubric** (`tests/atomic-rubric.yaml`) expresses a task's grading
+requirements as a list of criteria. Each criterion is scored on its own, and
+the aggregate score is computed from the per-criterion verdicts using the
+criterion's `category` and `severity`. That machinery only works when the
+artifact is well-formed: the file must obey the criterion schema, and each
+criterion must state one requirement a grader can judge independently.
+
+This detector checks the artifact itself, in two layers:
+
+1. **A deterministic contract.** Schema and vocabulary rules that either hold
+   or do not. Spelled out below; the list is the contract.
+2. **Judgment checks.** Atomicity, self-containment, phrasing, answer-key
+   placement, elaboration discipline, and fair-grading properties that need a
+   reader, not a validator.
+
+It does **not** judge whether the criteria match the task's holistic rubric —
+the detector-rubric-coverage detector owns content equivalence — and it does
+not verify factual claims against the source repo, route failures to grading
+criteria, or weigh whether the tested failure matters. Those belong to their
+own detectors.
+
+## Inputs
+
+Read from `harbor-tasks/<slug>/`:
+
+- `tests/atomic-rubric.yaml` — the primary input. A task packaged under an
+  earlier release carries the same artifact as `tests/rubrics.yaml`; when
+  `tests/atomic-rubric.yaml` is absent, assess `tests/rubrics.yaml`. Read
+  every criterion, guideline and elaboration both.
+- `tests/grader-context.md` — the companion context document. The
+  numeric-penalty rule below applies to it too, and the self-containment
+  check needs to know what context the criteria can legitimately lean on.
+- `instruction.md` — secondary. Use it to judge whether a criterion's
+  requirement is within reach of a response produced in this task's
+  environment, and whether an either/or fork is warranted.
+
+You do not need the workspace, the reference runs, or the holistic rubric.
+
+## The deterministic contract
+
+Every check in this list either passes or fails on the file as written.
+Report each failure with the offending text quoted verbatim.
+
+1. **Parses as YAML.** The file loads as a YAML document with a top-level
+   `task` string and a `criteria` list. A file that does not parse is a
+   broken artifact; report the parse error and verdict `material-issues`.
+2. **`task` names this task.** The `task` field equals the task's slug.
+3. **Ids are kebab-case and unique.** Each `id` matches
+   `^[a-z0-9]+(-[a-z0-9]+)*$` and appears once.
+4. **`category` vocabulary.** One of `primary_intent`, `extra_credit`,
+   `dodged_bullet`.
+5. **`severity` vocabulary and placement.** One of `crux`,
+   `certain_dealbreaker`, `possible_dealbreaker`, `unlikely_dealbreaker`.
+   Required on `primary_intent` and `dodged_bullet` criteria. Forbidden on
+   `extra_credit` criteria.
+6. **Crux cap.** At most 2 criteria carry `severity: crux`.
+7. **`dimensions` names at least one grading-standard criterion.** Each entry
+   is one of the eight, exactly as the grading standard names them:
+   `Integrity`, `Narrow Correctness`,
+   `Broader Correctness / the craft of software engineering`, `Persistence`,
+   `Communication`, `Verification & Thoroughness`, `Common Sense`,
+   `Thought Partnership`.
+8. **`guideline` is non-empty** on every criterion.
+9. **Zero numeric penalty language.** Penalty weight is expressed through
+    `category` and `severity`; sizing the subtraction is the grading
+    machinery's job. No guideline, elaboration, or context-document sentence
+    may state a numeric penalty amount. Run these over the atomic rubric AND
+    `tests/grader-context.md`; the pattern list is the contract:
+
+    ```bash
+    TESTS=harbor-tasks/<slug>/tests
+    RUBRIC="$TESTS/atomic-rubric.yaml"; [ -f "$RUBRIC" ] || RUBRIC="$TESTS/rubrics.yaml"
+
+    # Subtraction verbs with an amount: "subtract roughly 0.35", "deduct 5", "dock 40-45"
+    grep -inE '(subtract|deduct|dock)[a-z]*[[:space:]]+((roughly|about|around|approximately|up[[:space:]]+to|at[[:space:]]+least)[[:space:]]+)?[0-9]' "$RUBRIC" "$TESTS/grader-context.md"
+
+    # An amount attached to a penalty noun: "a 0.35 penalty", "a 20% penalty", "0.1-0.4 deduction"
+    grep -inE '[0-9]+(\.[0-9]+)?([[:space:]]*(-|to|–|—)[[:space:]]*[0-9]+(\.[0-9]+)?)?[[:space:]]*(%|percent)?[[:space:]]*(point[[:space:]]+)?(penalt|deduction)' "$RUBRIC" "$TESTS/grader-context.md"
+
+    # A penalty noun with an amount: "penalty of 0.35", "penalize by 20%", "deduction of 0.1"
+    grep -inE '(penalt[a-z]*|penali[sz][a-z]*|deduction)[[:space:]]+(of|by)[[:space:]]+((roughly|about|around|approximately|up[[:space:]]+to|at[[:space:]]+least)[[:space:]]+)?[0-9]' "$RUBRIC" "$TESTS/grader-context.md"
+
+    # Score adjustments by amount: "lower the score by 0.2"
+    grep -inE 'score[[:space:]]+by[[:space:]]+((roughly|about|around|approximately)[[:space:]]+)?[0-9]' "$RUBRIC" "$TESTS/grader-context.md"
+
+    # Point values and out-of-100 scales: "5 points", "1 pt", "out of 100"
+    grep -inE '[0-9]+(\.[0-9]+)?[[:space:]]+(points?|pts)([^a-z]|$)|out[[:space:]]+of[[:space:]]+100' "$RUBRIC" "$TESTS/grader-context.md"
+    ```
+
+    Every hit is a candidate, not automatically a finding: confirm the number
+    sizes a penalty or a score before reporting. Counts ("misses 3 of the 4
+    call sites"), behavior thresholds ("fewer than 80% of the tests pass"),
+    line numbers, dollar amounts, and version numbers never count.
+    Qualitative penalty phrasing ("this is a certain dealbreaker") never
+    matches and is the sanctioned form.
+11. **Positively phrased guidelines.** A guideline is one positively-phrased
+    statement of the requirement: "The response should …", the conditional
+    form "If the response includes X, it should …", or "The response should
+    avoid …" for prohibitions. Negation words in the requirement itself —
+    "should not", "must not", "may not", "does not", "never" — are the
+    non-sanctioned form; "avoid" replaces them. Candidates:
+
+    ```bash
+    grep -inE '(should|must|may|shall)[[:space:]]+not[[:space:]]|do(es)?[[:space:]]+not[[:space:]]|never[[:space:]]' "$RUBRIC"
+    ```
+
+    Confirm each hit phrases the *requirement* before reporting. Negation
+    inside an answer key describing the state of the code ("a constant that
+    does not exist"), or inside an elaboration describing what a failing
+    response looks like, is not a finding.
+
+## Judgment checks
+
+- **Atomicity.** Each criterion states one requirement that can be judged
+  independently. Flag two shapes:
+  - **Bundles of independent requirements.** A guideline a grader could
+    reasonably half-pass — the response did A but not B, and A and B stand or
+    fall separately — forces an improvised partial verdict. Split it.
+  - **Fragments that cannot be judged alone.** A criterion whose pass/fail
+    condition only makes sense while reading a sibling criterion or a
+    document the grader does not have.
+  Parallel facts from the same derivation MAY bundle: when several claims
+  stand or fall together because they come from one piece of evidence or one
+  mechanism, one criterion carrying all of them is sanctioned, and so is an
+  enumerated answer key inside one criterion when the facts form one finding.
+- **Self-containment.** Each criterion is judgeable from its own text plus
+  `tests/grader-context.md`. Flag a criterion whose requirement depends on
+  another criterion's content ("the same standard as the criterion above",
+  "see `other-criterion-id` for the definition"). A routing note in an
+  elaboration that names a sibling criterion id to prevent double-charging is
+  acceptable; the requirement itself must still stand alone.
+- **Answer keys inline and bold.** A factual criterion — one that grades the
+  response for surfacing or stating a specific fact — carries its answer key
+  inside the guideline, in bold, with citations where they exist. A key that
+  lives only in `tests/grader-context.md` makes the grader hunt; a key that
+  exists nowhere makes the criterion ungradeable.
+- **Elaboration discipline.** An elaboration clarifies its guideline: what
+  fulfills it, what fails it, tricky-concept clarification, charge-once
+  routing. Flag an elaboration that adds a requirement the guideline does not
+  state — a grader reading guidelines alone would miss it, and requirements
+  belong in guidelines.
+- **Weight on behavior that can meaningfully fail.** Criteria should target
+  behavior a real response can get wrong in a way that matters. A rubric
+  padded with trivially-satisfied properties (the response is in English, the
+  response mentions the file it edited) dilutes the weight of the criteria
+  that matter, because every criterion carries weight in the aggregate.
+- **No over-penalizing bundles.** One defect should not fail several criteria
+  at once unless each represents a genuinely distinct miss. A base criterion
+  plus a strictly-worse-variant criterion that fails in addition to it is a
+  sanctioned escalation pair; two near-duplicate criteria that both fire on
+  the same single defect, with no routing note saying which one charges, is
+  double-counting built into the artifact.
+- **Room for defensible judgment calls.** Where the task admits more than one
+  defensible approach, the criterion should accommodate it with either/or
+  phrasing ("The response should either flag the discrepancy and ask, or
+  proceed under a stated assumption") or a conditional. Flag a criterion
+  phrased as the one true path when the rubric's own elaborations or the
+  context document acknowledge an alternative as acceptable. Whether an
+  uncredited alternative *is* defensible against the prompt is the
+  answer-obviousness detector's lane; here the flag is phrasing that
+  forecloses what the atomic package itself treats as acceptable.
+- **Within the response's reach.** Criteria must be satisfiable by a response
+  produced in the task's environment. Flag a criterion that requires actions
+  the environment does not support (reaching the network, running a service
+  the sandbox does not have) or that grades infrastructure failures — a tool
+  crash, a harness timeout — as if they were response behavior.
+
+## Verdict definitions
+
+- **`not-applicable`** — there is no atomic rubric to assess: neither
+  `tests/atomic-rubric.yaml` nor `tests/rubrics.yaml` exists. Emit this and
+  stop. A file that exists but does not parse is NOT `not-applicable` — that
+  is a broken authored artifact, and it is `material-issues`.
+
+- **`clear`** — the deterministic contract passes in full, and the criteria
+  read as a working rubric: atomic, self-contained, positively phrased,
+  factual keys inline and bold, elaborations clarifying rather than adding.
+
+- **`minor-issues`** — the deterministic contract passes, and the judgment
+  findings are polish-level: an awkward-but-judgeable bundle, an answer key
+  parked in the context document instead of inline, mild padding, a single
+  negation-phrased guideline whose pass/fail direction is still plain.
+
+- **`material-issues`** — at least one of:
+  - **A deterministic-contract violation.** The file fails schema,
+    vocabulary, cap, or numeric-penalty rules as written. Validation gates on
+    these, so the artifact is broken until fixed.
+  - **A load-bearing judgment failure.** A bundle a grader must half-pass on
+    realistic responses; a criterion that cannot be judged alone; a factual
+    criterion with no answer key anywhere; a requirement that exists only in
+    an elaboration; a criterion outside the response's reach; double-counting
+    built into near-duplicate criteria; negation phrasing that leaves the
+    pass/fail direction genuinely unclear.
+
+## Confidence
+
+- **HIGH** — the deterministic results are unambiguous and the judgment calls
+  are plain (most runs of this detector, by construction).
+- **MEDIUM** — at least one finding is genuinely a judgment call: a bundle
+  that could be read as one derivation, a key whose inline-ness is arguable.
+- **LOW** — limited information (an unfamiliar domain where "can this be
+  judged alone" is hard to tell, or a very large rubric only sampled).
+
+## Anti-patterns: do not do these
+
+- **Don't report raw grep hits as findings.** The patterns generate
+  candidates; the confirmed penalty-sizing or requirement-negation reading is
+  the finding. Quote the confirmed text verbatim, with the criterion id.
+- **Don't flag sanctioned bundles.** Parallel same-derivation facts in one
+  criterion, enumerated keys forming one finding, and base + worse-variant
+  escalation pairs are the format working.
+- **Don't flag charge-once routing notes as cross-references.** Naming a
+  sibling criterion id to prevent double-charging is discipline, not
+  dependence.
+- **Don't re-litigate content.** Whether a requirement matches the holistic
+  rubric is coverage's lane; whether a stated fact is true is fact-check's;
+  whether the targeted failure matters is meaningfulness's. Judge the
+  artifact, not the task.
+- **Don't demand splitting past judgeability.** Maximum viable atomicity
+  means the smallest *meaningful* unit. A criterion is small enough when a
+  grader can pass or fail it in one decision; pushing further fragments it.
+- **Don't treat `dimensions` routing as this detector's call.** The
+  deterministic check is vocabulary only. Whether a failure is routed to the
+  right grading criterion belongs to the dimension-misapplication detector.
+
+## Frontmatter and body schema
+
+The detector report is YAML frontmatter followed by a markdown body. Both
+contexts produce the same shape; only the *sink* differs (the wrapping
+`SKILL.md` tells you where to send the report).
+
+**Frontmatter** — exactly these keys, exactly these enum values:
+
+```yaml
+---
+detector: detector-rubric-form
+verdict: clear | minor-issues | material-issues | not-applicable
+confidence: HIGH | MEDIUM | LOW
+---
+```
+
+**Body sections**, in this order:
+
+```markdown
+# Rubric-form check: <slug>
+
+Assessed: <atomic rubric path>
+
+## Deterministic contract
+
+One line per check (1-11), pass or FAIL. For each FAIL: the offending text
+quoted verbatim, the criterion id (or file location), and the rule it
+breaks. For the pattern checks, state that the sweeps ran and what they
+matched; a candidate hit cleared as a non-finding gets one line saying why.
+
+## Atomicity and self-containment
+
+One block per finding:
+
+### <short label>
+
+- **Criterion:** the criterion id.
+- **Where:** the guideline or elaboration text, quoted verbatim.
+- **Why:** 1-2 sentences — which independent requirements are bundled, or
+  what the criterion depends on that it does not contain.
+- **Suggested split or rewrite:** concrete replacement criteria or phrasing.
+
+If there are none, write "None found."
+
+## Phrasing and answer keys
+
+Findings on positive phrasing, inline/bold answer keys, and elaboration
+discipline, same block shape as above. If there are none, write
+"None found."
+
+## Fair-grading findings
+
+Findings on trivially-satisfied criteria, over-penalizing bundles, missing
+either/or accommodation, and requirements outside the response's reach,
+same block shape. If there are none, write "None found."
+
+## Overall verdict
+
+1-2 paragraphs reducing the findings to the chosen verdict. Be explicit
+about whether the deterministic contract or the judgment layer drove the
+call.
+```
+
+The frontmatter is what downstream tooling parses programmatically; the body
+is the rationale a human reads to confirm.

worker-toolkit-potion-polyglot/.claude/skills/detector-rubric-generality/SKILL.md

@@ -0,0 +1,52 @@
+---
+name: detector-rubric-generality
+description: |
+  Self-check your holistic rubric for whether it describes, in
+  general, what makes a response strong or weak — so a grader can apply it to
+  any agent — or whether it speaks too much in terms of your reference runs
+  ("clarity is reliably high on this task", "agents will fail here", "all four
+  trials hit 85+"). Identifying failure modes as general response properties is
+  good; leaning on what the observed runs did as the scoring basis is what this
+  catches. Doesn't flag illustrative pointers to runs or describing failure
+  modes — only run-anchoring that gates scoring. Also flags a rubric that names
+  the framework your task runs on (Harbor, Pier, the sandbox) instead of
+  describing the task in its own terms.
+allowed-tools: Bash, Read, Write
+---
+
+# Rubric-generality detector
+
+This skill checks whether your holistic rubric (the file
+`bash scripts/guidance-target.sh <slug>` resolves) describes response quality in
+general terms — so the task works for any agent, not just the ones whose
+reference runs you have today — or whether it leans too much on what the
+observed runs happened to do ("reliably high on this task," "agents will," "all
+N trials," tiers keyed to a specific run). It also flags a rubric that names the
+framework your task runs on (Harbor, Pier, the sandbox) instead of the task's
+own terms — "the final Harbor instruction" should just read "the final
+instruction."
+
+Read these before deciding:
+
+1. `.claude/skills/_detector-worker-shell.md` — where to write the report and how to handle re-runs.
+2. `.claude/skills/detector-rubric-generality/core.md` — what counts as run-anchored scoring vs. general response-quality description, verdict definitions, frontmatter/body schema.
+
+Compose the report per the schema in `core.md` and write it per `_detector-worker-shell.md`.
+
+## Acting on the verdict
+
+- **`generalizes`** — the main thrust describes what makes a response strong or
+  weak in general terms; any run-references are illustrative. Good.
+- **`minor-issues`** — the core scoring is general, but some phrasings lean on
+  observed-run statistics or "agents tend to" framing, or name the framework
+  your task runs on. Look at the "run-anchored phrasings" and "infra-framework
+  references" lists in the report and reframe each as a general property of a
+  response (or, for an infra name, reword to the task's own terms). No need to
+  rebuild the rubric.
+- **`material-issues`** — the load-bearing scoring criteria are defined by what
+  the reference runs did, so a grader couldn't score a new agent that fails
+  differently. Look at the "load-bearing run-dependence" section — rewrite those
+  criteria to describe what a strong/weak response looks like in general, then
+  re-run this skill.
+- **`not-applicable`** — the resolved rubric file is missing, empty, or template-only.
+  Write the rubric first, then come back to this skill.

worker-toolkit-potion-polyglot/.claude/skills/detector-rubric-generality/core.md

@@ -0,0 +1,414 @@
+# Rubric-generality detector — core
+
+This file is the canonical, context-neutral content for the detector-rubric-generality
+detector. It defines what counts as run-anchored scoring — and naming the
+infrastructure the task runs on — vs. general response-quality description, the
+verdict enums, the patterns to recognize,
+and the output schema. It's read in two contexts — the base repo's review
+pipeline and the worker toolkit's self-check — so nothing here should
+reference downstream storage details.
+
+## What this detector is for
+
+We are building a benchmark that should work for **any** agent, not just the
+handful of agents whose reference runs we happen to have on hand today. The
+grader reads the task's grader guidance to score a response. For the benchmark
+to generalize, the guidance's main thrust has to describe — in general terms —
+what makes a response **strong or weak**, grounded in the task and the code, so
+a grader can apply it to a response no reference run produced.
+
+The failure this detector catches is grader guidance that instead **speaks too
+much in terms of the observed agent runs.** Phrasings like "clarity is reliably
+high on this task," "agents will fail here," "all four reference trials hit
+85+," or "the runs that missed the population gap" describe *what the agents we
+already watched happened to do*. The more the guidance leans on those
+observations to do the scoring work, the more it targets the specific set of
+failures we see today — and the less it tells a grader how to score a new agent
+that fails (or succeeds) in a way none of the reference runs did.
+
+It is **good** for guidance to identify likely failure modes — "a weak response
+claims success without checking the affected population" is a general quality
+criterion, and naming it is exactly the job. The problem is when the *basis for
+scoring* shifts from "here is what a strong/weak response looks like" to "here
+is what the observed agents did." A failure mode described as a general property
+of a response generalizes; the same failure mode described as "agents will do X"
+or "this appeared in 3/4 trials" is anchored to the runs.
+
+The operational test: **could a grader apply this guidance to score a
+brand-new agent whose behavior differs from every reference run?** If the
+scoring criteria are general properties of a strong/weak response, yes — it
+generalizes. If the criteria are defined by reference to what the observed runs
+did, no — the guidance only works for the agents we've already seen.
+
+## A second axis: don't name the infrastructure
+
+Run-anchoring is one way the guidance over-fits to *our apparatus* instead of
+describing the task in general terms. There is a second: **naming the
+infrastructure the task happens to run on.** The grader guidance should describe
+the task in terms of its own domain — the product, the user's request, the code
+— and a response in terms of general quality. It should never describe the task
+in terms of the framework we use to execute and grade it.
+
+Concretely, phrasings like *"the final Harbor instruction pivots to an org-owner
+view,"* *"the Pier prompt,"* or *"in the sandbox the agent sees …"* name our
+plumbing. "The final Harbor instruction" just means "the final instruction" (or
+"the final user request") — the word *Harbor* says nothing about the task or the
+response and ties the description to one execution context. This is both a
+generality defect (the description stops being portable: a grader or reader who
+doesn't have our specific tooling in front of them is told about the plumbing
+rather than the task) and a hygiene defect (these framework names are internal
+infrastructure that should not travel into grading content). Flag every genuine
+infra-framework reference — at minimum it's `minor-issues`.
+
+Judge by *usage*, not by substring. If the task's own subject matter is a
+harbor, a pier, a dock, etc. — a logistics or shipping app that literally models
+them — that's domain vocabulary, not an infra reference, and is not a finding.
+The finding is the word used to name the harness, sandbox, runner, or grader the
+task is executed and scored on.
+
+## Inputs
+
+Read whatever you need from `harbor-tasks/<slug>/`. The load-bearing artifacts are:
+
+- The grader guidance — the primary input. Read every line. Resolve the
+  guidance file the grader reads (`bash scripts/guidance-target.sh <slug>`
+  prints its path, `tests/grader-guidance-consolidated.md` — the worker shell's
+  guidance-target resolution) and assess the file it names, never another
+  document. The
+  detection is in the prose: where does the guidance describe response quality
+  in general terms, and where does it lean on observed-run behavior or
+  statistics?
+- `reference-runs/<run>/grade.md` and `instruction.md` — secondary, optional.
+  Use them only to confirm that a run-reference is load-bearing (the scoring
+  genuinely depends on what the runs did) vs. illustrative (the guidance points
+  at a run as one example of a criterion it already defined generally). You do
+  not need to read the full reference runs or the source repo — this detector
+  judges the guidance's framing, not the substance of what it scores (other
+  detectors cover substance).
+
+## Verdict definitions
+
+- **`not-applicable`** — the resolved guidance file is missing, empty, or
+  contains only the unmodified template scaffold (no authored scoring content).
+  There's no guidance to evaluate; emit this and stop. (Code-execution tasks
+  with no behavioral grader guidance fall here too.)
+
+- **`generalizes`** — the main thrust describes what makes a response strong or
+  weak in general terms, grounded in the task and code. Any references to the
+  reference runs are clearly illustrative ("for example, one run …") and the
+  scoring criteria stand on their own without them. A grader could apply this
+  guidance to a brand-new agent's response.
+
+- **`minor-issues`** — the core scoring criteria are general and would apply to
+  a new agent, but the guidance carries run-anchored phrasings layered on top —
+  run statistics ("all four trials hit 85+"), situating notes ("X is reliably
+  high on this task"), "agents tend to …" framing, or run-derived wording
+  ("the captured failure," a phrase quoted verbatim from a run) — that color
+  the criteria without being load-bearing. The benchmark still generalizes; the worker
+  should reframe these phrasings in general terms so the guidance reads as
+  agent-agnostic. This is a heads-up, not a rewrite. **A genuine
+  infra-framework reference** — naming Harbor, Pier, or any other harness /
+  sandbox / runner / grader the task executes on — lands here too: the scoring
+  criteria still generalize, but the worker should reword the phrase to the
+  task's own terms ("the final Harbor instruction" → "the final instruction").
+
+- **`material-issues`** — the load-bearing scoring criteria are defined in terms
+  of the observed runs. A grader could not consistently score a new agent that
+  fails or succeeds differently from the reference runs, because the guidance
+  describes the target behavior only as "what the agents did" rather than as a
+  general property of a response. The benchmark, as written, targets the
+  specific set of failures we see today. At least one of:
+  - **A scoring tier, gate, or pass/fail criterion is keyed to a reference
+    run** ("A+ matches what run 2 did," "deduct for the mistake the failing
+    trials made") with no general definition the grader can apply independently.
+  - **The target failure is defined only by observed behavior** ("agents will
+    claim success here — mark that") with no statement of what a correct
+    response looks like, so a new agent that fails some other way is unscored.
+  - **The guidance's central scoring logic is narrated through the runs**
+    rather than through response quality, such that stripping the run-references
+    would leave the grader without criteria.
+  - **A load-bearing tier, gate, or criterion depends on harness-specific
+    behavior or artifacts** ("score by what Harbor reported," a gate keyed to a
+    sandbox path or runner-specific output) such that a grader without our exact
+    infrastructure couldn't apply it. The standard is tied to our apparatus, not
+    to the response. (A bare infra *wording* slip — "the final Harbor
+    instruction" — is `minor-issues`, not this; escalate only when the scoring
+    genuinely depends on the framework.)
+
+## Confidence
+
+- **HIGH** — the load-bearing-vs-situating call is clear, even if run-anchored
+  phrasings are conspicuous. The common `minor-issues` shape — a generalizing
+  rubric carrying obvious run statistics ("all four trials hit 85+") layered on
+  general criteria — is HIGH when those statistics plainly annotate criteria
+  that already stand on their own. Also HIGH when the guidance is clearly
+  general (at most illustrative run-references), or when the run-dependence is
+  plainly load-bearing.
+- **MEDIUM** — the load-bearing-vs-situating call is itself a genuine judgment:
+  you can't confidently tell whether stripping a run-reference would leave the
+  grader without criteria. A different reviewer might read it the other way.
+- **LOW** — limited information (the guidance is very short, or you can't tell
+  from the prose alone whether a criterion stands without the runs). Verdict is
+  best-guess.
+
+## What counts as run-anchoring
+
+The signal is the guidance leaning on the *observed runs* — their behavior,
+their outcomes, their statistics — to convey or gate scoring. Patterns:
+
+- **Run statistics as criteria.** "All four reference trials hit 85+ on
+  Verification & Thoroughness," "appeared in three of four trials," "every run formatted
+  cleanly." These describe the sample, not the standard. They're load-bearing
+  (→ material) when the grader is told to score by them; situating color
+  (→ minor) when they annotate an otherwise-general criterion.
+- **Prescribed outcome bands.** Guidance that tells the grader what *totals*
+  to produce — a prescribed overall score band ("overall should land around
+  0.20–0.30 for this shape"), or an expected score distribution ("expect a
+  bimodal split"). The prose may contain no run vocabulary at all, but the
+  band reads the observed outcome distribution back into the standard: the
+  grader is handed the answer the runs produced instead of criteria to reach
+  it independently. The diagnostic question: **would this band still score
+  sensibly for an agent that fails in a way no reference run did?** Scope this
+  narrowly — it's about prescribing the *result*, not about the penalty
+  machinery itself. Heavy penalties tied to named failure properties ("a
+  response that ships without surfacing the inversion takes a heavy
+  penalty on Communication") are the expected rubric shape and are not a
+  finding. When the guidance prescribes the outcome, list it →
+  `minor-issues`; the reframe states the penalty per failure property and
+  lets the totals fall out.
+- **"Agents will / tend to / reliably" framing.** "Agents will claim the task
+  is complete," "the agent tends to be over-confident," "clarity is reliably
+  high on this task." Predicting observed-agent behavior. General-quality
+  reframing exists for nearly all of these ("a weak response claims completion
+  without verifying the plumbing reaches the handler").
+- **Run-derived wording: "the captured …" and verbatim run quotes.** Definite
+  references to the captured run used as the comparison object — "the captured
+  failure is the agent adding …," "a bar-clearing response differs from the
+  captured one only in honesty about the value," "the observed trajectory" —
+  and phrases lifted verbatim from a run transcript and presented as the
+  expected or penalized wording (quoting one agent's "the natural home" as the
+  phrasing to deduct for). Even when the surrounding criterion is general, the
+  definite reference makes one specific run the standard a new response is
+  compared against, and a quoted phrase predisposes the grader to string-match
+  one agent's wording instead of judging the property it exemplifies. The
+  reframe swaps in the generic object ("differs from *a weak one*," "a weak
+  response adds …") and states the penalized behavior as a property, not a
+  quote. Almost always `minor-issues` — but surface it every time; this
+  wording gets edited out of otherwise-strong rubrics on sight.
+- **Criterion pre-weighting / signal-location prediction.** Telling the grader
+  *where signal will or won't appear*, or ranking/weighting the scoring
+  criteria by what the observed runs did: "Communication and Common Sense are
+  typically not load-bearing here," "score them … but do not expect strong signal in
+  either direction," "this is descriptive of where signal tends to land," "the
+  signal lives in X, Y, Z, in that rough order of how clearly each fails." This
+  reads the observed outcome distribution back into the standard and primes the
+  grader to under-weight or skip a criterion — so a new agent with a glaring
+  failure in a "not load-bearing" criterion gets under-scored. **Upfront
+  criterion-N/A pre-marking is the imperative form of the same defect:** "mark
+  Communication, Common Sense, and Thought Partnership N/A," "N/A: Integrity"
+  with no condition
+  attached. The prediction is implicit but does the same damage — the guidance
+  pre-decides for the grader what the trajectory will show. The general
+  reframe states, per criterion, the *condition* under which a response is
+  strong or weak (e.g. "Integrity is N/A unless the agent overstates what it
+  verified") and lets the grader judge the response in front of them; the
+  guidance must never assert how much signal a criterion will carry, or which
+  criteria matter, as a prediction — nor mark a criterion N/A up front.
+  Almost always `minor-issues` (the per-criterion standards usually still
+  stand), but surface it every time.
+- **Tiers or gates keyed to specific runs.** "Score like the run that surfaced
+  the gap," "the failing trials missed X — that's the C-tier line." The
+  scoring is defined by the runs, not by a standard a new response is measured
+  against. Load-bearing → material.
+- **Target failure defined only as observed behavior.** The guidance says what
+  the agents did wrong but never states what a correct response would have done,
+  so a new agent that fails differently has nothing to be scored against.
+
+Rule of thumb for what to list as a run-anchored phrasing: a run *statistic* or
+score-band ("all four trials," "Integrity 50-55 across trials," "3 of 4 runs") is
+always worth listing — it describes the sample. So is run-derived wording — a
+definite "the captured …" reference or a phrase quoted verbatim from a run —
+regardless of how general the surrounding criterion is. A bare *indefinite*
+"one run did X" pointer is worth listing only when it's the scoring basis;
+attached to a criterion the guidance already defines generally, it's an
+illustration, not a finding.
+
+What is **not** run-anchoring worth flagging:
+
+- **Illustrative pointers to runs.** "For example, one run did X" attached to a
+  criterion the guidance already defines in general terms. The criterion
+  carries the scoring; the run is an illustration. Fine. This safe harbor
+  covers *indefinite* pointers only: a definite reference that makes the
+  captured run the comparison object ("the captured failure," "differs from
+  the captured one") or a phrase quoted verbatim from a run transcript is
+  run-derived wording (see above) and is a finding even when attached to a
+  general criterion.
+- **Naming failure modes as general response properties.** "A weak response
+  surfaces non-load-bearing caveats while omitting the load-bearing one" is a
+  general criterion even though it describes a failure. Describing failure modes
+  is the job — naming them is not run-anchoring.
+- **Privileged facts about the code.** File/line citations, schema constraints,
+  the mechanism of the bug — these are general task facts, not observations of
+  the runs. Never flag them here.
+- **Stating the condition under which a criterion applies.** "Integrity is N/A
+  unless the agent overstates what it verified" names *when* a criterion bites
+  as a property of the response — that generalizes and is fine. It crosses into
+  run-anchoring only when it predicts the *outcome* ("Integrity will be high,"
+  "Thought Partnership won't matter here," "don't expect signal in
+  Communication") or pre-marks it ("mark Communication N/A" with no condition
+  attached).
+
+## What counts as an infra-framework reference
+
+The signal is the guidance naming the infrastructure the task runs on instead of
+describing the task and the response in their own terms. Patterns:
+
+- **The framework as an adjective on task content.** "The final *Harbor*
+  instruction," "the *Pier* prompt," "the sandbox turn." The framework name
+  modifies something that belongs to the task (the instruction, the prompt, a
+  turn) — drop it: "the final instruction," "the final user request." Always
+  worth listing; `minor-issues` on its own.
+- **Narrating through the runner.** "In Harbor the agent sees …," "when this
+  runs in the sandbox …," "the runner surfaces …." Describe what the *response*
+  does, not what our tooling shows. `minor-issues` unless the scoring leans on it.
+- **Scoring tied to harness behavior or artifacts (load-bearing).** "Score by
+  what Harbor reported," a tier or gate keyed to a sandbox path or a
+  runner-specific output. A grader without that exact infrastructure can't apply
+  it → `material-issues`.
+
+The names to watch for are the harness, sandbox, runner, and grading frameworks
+the task is executed and scored on — e.g. Harbor, Pier — and treat any
+comparable framework name the same way. Judge by usage: a task whose subject is
+literally a harbor or a pier uses those words as domain vocabulary, not as infra
+references, and that is not a finding.
+
+## Verdict reduction in practice
+
+1. **Is the guidance missing / empty / template-only?** → `not-applicable`. Stop.
+2. **Are any load-bearing scoring criteria defined by reference to the observed
+   runs** (tiers/gates keyed to runs, target failure defined only as observed
+   behavior, central scoring narrated through the runs), **or does a load-bearing
+   tier/gate depend on harness-specific behavior or artifacts** a grader without
+   our infrastructure couldn't apply? → `material-issues`. Stop.
+3. **Is the core scoring general, but carrying run-anchored phrasings** (run
+   statistics, prescribed outcome bands, "reliably high on this task," "agents
+   tend to," criterion pre-weighting or upfront N/A pre-marking, run-derived
+   wording like "the captured failure" or verbatim run quotes) **or any
+   genuine infra-framework reference** (naming Harbor, Pier, or another
+   harness / sandbox / runner / grader) layered on top? → `minor-issues`.
+4. **Otherwise** (general criteria, at most illustrative run-references, and no
+   infra-framework names) → `generalizes`.
+
+The threshold between `minor-issues` and `material-issues` is whether the
+guidance would still score a new agent if the run-references were removed. If
+yes (the general criteria carry the load and the run-talk is color) →
+`minor-issues`. If no (strip the run-references and the grader has nothing to
+apply) → `material-issues`. The same threshold applies to infra references:
+rewording the framework name to the task's own terms leaves the criterion intact
+→ `minor-issues`; the criterion genuinely depends on harness-specific behavior →
+`material-issues`.
+
+When in doubt between `generalizes` and `minor-issues`, lean `minor-issues` if
+the run-anchored phrasing is conspicuous enough that a reviewer would want the
+worker to reframe it — but don't manufacture findings from a single illustrative
+pointer.
+
+## Anti-patterns: do not do these
+
+- **Don't flag every mention of a run.** Illustrative pointers attached to a
+  general criterion are fine. The question is whether the run does the scoring
+  work, not whether it's named. The one exception is run-derived wording —
+  definite "the captured …" references and verbatim run quotes — which is
+  worth listing even when it reads as illustrative.
+- **Don't flag describing failure modes.** "A weak response does X" is general
+  quality description, even when X is a failure. Flag only when the failure is
+  defined as "what the agents did" with no general standard.
+- **Don't critique the substance of what's scored.** Whether a deduction is
+  *meaningful*, whether a cited fact is *true*, whether the rubric is *clear* —
+  those are other detectors. This one judges only whether the guidance's framing
+  generalizes beyond the observed runs.
+- **Don't reward terseness.** A short rubric that never mentions runs is not
+  automatically `generalizes` — it still has to describe what makes a response
+  strong or weak. (But that gap is a clarity/substance concern; here, absent
+  run-anchoring, lean `generalizes` and let the sibling detectors speak.)
+- **Don't flag domain vocabulary as an infra reference.** "Harbor" / "Pier" /
+  "dock" used because the task's subject is literally one of those is fine. Flag
+  the word only when it names the harness / sandbox / runner / grader the task
+  executes on, not when it's part of the task's own domain.
+
+## Frontmatter and body schema
+
+The detector report is YAML frontmatter followed by a markdown body. Both
+contexts produce the same shape; only the *sink* differs (the wrapping
+`SKILL.md` tells you where to send the report).
+
+**Frontmatter** — exactly these keys, exactly these enum values:
+
+```yaml
+---
+detector: detector-rubric-generality
+verdict: generalizes | minor-issues | material-issues | not-applicable
+confidence: HIGH | MEDIUM | LOW
+---
+```
+
+**Body sections**, in this order:
+
+```markdown
+# Rubric-generality check: <slug>
+
+## Load-bearing run-dependence
+
+For each place where a scoring criterion, tier, or gate is defined by reference
+to the observed runs (rather than as a general property of a strong/weak
+response), write a short block:
+
+### <short label>
+
+- **Where:** quote the verbatim sentence from the resolved guidance file and
+  name its location (scoring tier, heavy penalty, "common failure modes," etc.).
+- **Why it doesn't generalize:** 1–2 sentences on why a grader couldn't apply
+  this to a new agent whose behavior differs from the reference runs.
+- **Suggested rewrite (optional):** one concrete phrasing that states the
+  criterion as a general property of a response. Skip if the right rewrite
+  depends on privileged intent you can't infer.
+
+If there is no load-bearing run-dependence, write "None found." and move on.
+
+## Run-anchored phrasings
+
+A bulleted list of run statistics, prescribed outcome bands, "reliably high on
+this task" situating notes, "agents will / tend to" framing, criterion
+pre-weighting / upfront N/A pre-marking, and run-derived wording ("the
+captured failure," verbatim run quotes) that color the guidance without being
+load-bearing. For each: quote the verbatim phrase and give a one-line general
+reframing. These drive `minor-issues`.
+
+If the guidance reads as agent-agnostic throughout, write "None found."
+
+## Infra-framework references
+
+A bulleted list of every place the guidance names the harness, sandbox, runner,
+or grading framework the task executes on (Harbor, Pier, or comparable) rather
+than describing the task in its own terms. For each: quote the verbatim phrase,
+note whether it's a wording slip (→ `minor-issues`) or load-bearing in scoring
+(→ `material-issues`), and give the task's-own-terms rewrite ("the final Harbor
+instruction" → "the final instruction"). Skip domain usage where the task's
+subject is literally a harbor / pier / dock.
+
+If the guidance never names our infrastructure, write "None found."
+
+For a `generalizes` rubric, all three sections above legitimately read "None
+found." — that's the expected shape, and the "Overall verdict" carries the
+substance. Don't manufacture findings to fill the sections.
+
+## Overall verdict
+
+1–2 paragraphs synthesizing the above into the chosen verdict. Be explicit
+about whether the run-references are load-bearing (→ material) or situating
+color on otherwise-general criteria (→ minor / generalizes), and whether any
+infra-framework names appear (→ at least minor).
+```
+
+The frontmatter is what downstream tooling parses programmatically; the body
+is the rationale a human reads to confirm.

worker-toolkit-potion-polyglot/.claude/skills/detector-run-behaviors/SKILL.md

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+---
+name: detector-run-behaviors
+description: |
+  Self-check the diversity of your task's reference runs by pulling out a
+  small set of discriminating behavior axes — named behaviors that
+  distinguish runs from each other (framing choices, hallucinations,
+  citation style, etc.) and emitting a structured behaviors × runs
+  matrix. Useful as a sanity check before submission: if your reference
+  runs all behave identically along every dimension you can name, the
+  task probably isn't discriminating enough.
+allowed-tools: Bash, Read, Write
+---
+
+# Run-behaviors extractor
+
+This skill helps you see how your reference runs differ from each other.
+It pulls out 5–10 behavior axes — named behaviors that distinguish
+runs from each other (framing, investigation depth, hallucinations,
+citation style, hedging) — and writes a structured matrix you can use
+to confirm your task is producing genuinely diverse failure modes.
+
+**This skill needs at least 2 reference runs.** Run your task with
+`scripts/harbor-run harbor-tasks/<slug> -k 4` (or similar) first so there
+are multiple `grade.md` and `answer.md` files to compare; with fewer
+than 2 runs there's nothing to discriminate against and the detector
+returns `not-applicable`.
+
+Read these before starting:
+
+1. `.claude/skills/_detector-worker-shell.md` — where to write the report and how to handle re-runs. Detectors with structured payloads (this one's `runBehaviors` matrix) embed them in the same frontmatter block as `detector`/`verdict`/`confidence`.
+2. `.claude/skills/detector-run-behaviors/core.md` — what makes a good behavior axis, the structured `runBehaviors` payload shape, verdict enums, body sections.
+
+Compose the report per the schema in `core.md` and write it per `_detector-worker-shell.md`.
+
+## Acting on the verdict
+
+- **`summary`** with `HIGH` confidence — your runs differ along clear,
+  named axes. Good: that's the signal that says your task is
+  discriminating enough to produce a useful score distribution.
+- **`summary`** with `MEDIUM` or `LOW` confidence — your runs look
+  similar to each other and the axes you pulled out feel forced. The
+  task may not be producing enough diversity to be a meaningful
+  benchmark. Consider whether the prompt is too prescriptive, or
+  whether more reference runs would surface real variation.
+- **`not-applicable`** — fewer than 2 reference runs. Run more trials
+  first.

worker-toolkit-potion-polyglot/.claude/skills/detector-run-behaviors/core.md

@@ -0,0 +1,276 @@
+# Run-behaviors extractor — core
+
+This file is the canonical, context-neutral content for the detector-run-behaviors
+detector. It defines what makes a good behavior axis, the structured
+`runBehaviors` payload schema, the verdict enums, and the body shape. It's
+read in two contexts — the base repo's review pipeline and the worker
+toolkit's self-check — so nothing here should reference downstream
+storage details.
+
+## What this detector is for
+
+Reviewers want to know quickly **how much diversity** a slug's reference runs
+have. Did every run miss the same point? Did one run hallucinate something
+none of the others did? Did the worst-scoring run fail in a fundamentally
+different way than the best? The existing per-run "notes" column captures
+some of this, but it's freeform — you have to read four cells of prose to
+notice that exactly one run hallucinated a UI and exactly two ran into the
+auth-edge case.
+
+This detector pulls out a small set of **discriminating axes** — named
+behaviors that distinguish runs from each other — and emits a matrix that
+downstream tooling renders as a grid. Each row is a run; each column is a
+behavior; a filled cell means the run exhibits it. Outlier behaviors (only
+one run has them, or all-but-one do) get visual emphasis.
+
+The point isn't to grade runs; it's to make run diversity (and the shape
+of that diversity) glanceable.
+
+## Inputs
+
+Read whatever you need from `harbor-tasks/<slug>/`. The load-bearing
+artifacts:
+
+- `reference-runs/<run-id>/grade.md` — the grader's per-run reasoning. The
+  primary input. Read every run. Look for what each run *did differently*
+  from the others — which rubric items it hit, which it missed, what
+  framing it brought to the prompt that the others didn't.
+- `reference-runs/<run-id>/agent-output/answer.md` — what the agent
+  actually wrote. Useful when `grade.md` reasoning is terse and you need
+  to confirm what the agent did, or to find behaviors the grader didn't
+  call out (e.g., "this run cites file paths; the others don't").
+- The grader guidance — the rubric. Resolve which guidance file the grader
+  actually reads (`bash scripts/guidance-target.sh <slug>` — the worker
+  shell's guidance-target resolution) and read that file, never its sibling.
+  Use this to *avoid* including
+  behaviors that just restate "did the agent satisfy rubric item N." The
+  rubric items are already a column-set; we want axes the rubric *doesn't*
+  capture — tactical choices, framing, hallucinations, anything that
+  distinguishes one run from another along a dimension the rubric doesn't
+  score directly.
+
+## What makes a good behavior axis
+
+The single most useful behavior to surface is one that **one run exhibits
+and the others don't** (or one run lacks while the others share). That's
+the outlier signal the reviewer is hunting. Aim for:
+
+- **5 to 10 behaviors total.** The grid is rows-by-runs, so the row
+  count is where the visual scales. Fewer than 5 and the matrix has no
+  shape; more than ~10 and the legend below gets cluttered.
+- **Behaviors that genuinely discriminate.** A row where every run is
+  filled (all runs missed the same rubric item) or every run is empty
+  *usually* carries no diversity signal. **Exception: when the always-
+  exhibited (or always-missed) behavior is a core thing the
+  grader guidance is looking for**, include it anyway. A small set of
+  "every run failed here" rows can be load-bearing context — they show
+  the reader at a glance that the task's primary failure mode is
+  reliably reproducing, not just a one-off. Cap these at 1-3 core
+  rows; the rest should be true outliers. Universal claims are also
+  the ones most likely to be wrong: before shipping an "every run"
+  (or "no run") row, re-check the claim against each run's `grade.md`
+  — the top-scoring run is where it most often breaks.
+- **Short, scannable labels.** ≤ 6 words. Render-time the row label
+  has more room than a column header, but legend cards repeat them, so
+  brevity still pays.
+- **Behavior-shaped, not score-shaped.** Prefer "Hallucinated withdraw
+  UI" over "Failed Issue 3." The rubric-issue × run grid already exists
+  (see `RubricHeatmap` / `rubricVerdicts`); this matrix is *complementary*
+  — it captures things the rubric doesn't grade, plus the small set of
+  core rubric concerns where the diversity signal is "all runs missed
+  this" (and that fact is itself the headline).
+- **Defined precisely enough to apply consistently.** The `description`
+  field is your operational definition. A reader should be able to read
+  it and re-apply the same label to a new run without ambiguity.
+
+Bad behavior axes:
+
+- "Wrote a thorough answer" — vague, not falsifiable, every run is
+  somewhere on the spectrum.
+- "Missed Issue 4" — already captured by the rubric × runs grid; you're
+  not adding signal.
+- "Got the right answer" — score-shaped, not behavior-shaped, and already
+  captured by `reward`.
+- "Used the word 'security'" — too fine-grained to be a useful axis.
+
+## Patterns to look for in `grade.md`
+
+Behaviors that show up across many slugs and tend to be discriminating:
+
+- **Framing choice** — did the agent treat this as a security audit, a
+  refactor proposal, a compliance review, an incident postmortem? Runs
+  that frame the same prompt differently will produce structurally
+  different answers.
+- **Investigation depth** — did the agent read 2 files, 12 files, 50
+  files? Does the grader specifically note which files were/weren't
+  opened?
+- **Hallucinations** — did the agent describe a function/file/UI that
+  doesn't exist? This is almost always a useful axis when at least one
+  run does it.
+- **Citation style** — did the agent cite file:line, just file paths, or
+  no paths at all? Often correlates with reward.
+- **Hedging vs. confident assertion** — same answer can be marked up or
+  down depending on whether the agent hedged appropriately.
+- **Self-correction within the run** — did the agent backtrack mid-answer
+  ("actually, looking more carefully…") or commit to the first read?
+- **Topic-area coverage** — for multi-issue rubrics, did the agent split
+  attention evenly or skip a whole topic area?
+
+Behaviors to *avoid* listing (already captured elsewhere):
+
+- "Got rubric item N right/wrong" — see `rubricVerdicts`.
+- "Scored above 0.5" — see `reward`.
+- "Took a long time" — not stable / not behavior-shaped.
+
+## Verdict and confidence
+
+- `verdict`: `summary` when you produced a matrix (this detector is
+  descriptive, not pass/fail; `summary` signals "no judgment, just an
+  extraction"). Use `not-applicable` instead when the matrix can't be
+  built — see "What about `not-applicable`?" at the bottom. Those are
+  the only two values.
+- `confidence`: `HIGH` | `MEDIUM` | `LOW` — how confident you are that
+  these axes are the *most* discriminating ones (vs. better axes you
+  might have missed). `HIGH` for runs whose differences are stark and
+  easy to articulate; `MEDIUM` when runs are similar enough that the
+  axes you chose feel forced; `LOW` when you only had partial data
+  (e.g., missing `answer.md` files).
+
+## Frontmatter and body schema
+
+The detector report is YAML frontmatter (with the structured
+`runBehaviors` matrix inline) followed by a markdown body. Both contexts
+produce the same shape; only the *sink* differs.
+
+**Frontmatter** — exactly these top-level keys:
+
+```yaml
+---
+detector: detector-run-behaviors
+verdict: summary | not-applicable
+confidence: HIGH | MEDIUM | LOW
+runBehaviors:
+  behaviors:
+    - id: b01
+      kind: failure
+      label: "Tunnel-vision on legal framing"
+      description: "Frames the whole answer as a compliance/legal question and never opens any client-side code."
+    - id: b02
+      kind: failure
+      label: "Hallucinates withdraw UI"
+      description: "Describes a withdraw-flow UI component (e.g. demos a button or modal) that does not exist anywhere in the codebase."
+    - id: b03
+      kind: target
+      label: "Cites file paths"
+      description: "Cites paths with file:line precision when making load-bearing claims about the codebase."
+  perRun:
+    "reward-0.44-LQrU9Cg": [b01]
+    "reward-0.47-JWSWFw3": [b02]
+    "reward-0.49-A7Mte9P": [b03]
+    "reward-0.56-SCZ7wSC": [b03]
+---
+```
+
+Field rules:
+
+- `behaviors[].id`: stable string like `"b01"`. Just an identifier — must
+  be unique within the matrix and must match the ids you reference in
+  `perRun`. Validation rejects unknown ids.
+- `behaviors[].kind`: `"target"` or `"failure"`. **Polarity matters** —
+  the grid renders green for a `target` cell that the run hit, red for
+  a `failure` cell that the run exhibited. Pick the framing that makes
+  the axis sharpest: "Cites file paths" (target, green when present) vs.
+  "Doesn't cite file paths" (failure, red when present) — generally the
+  rarer half should be the named axis so cells fill more sparsely. Use
+  `failure` for things the agent shouldn't do, `target` for things the
+  agent should do. A filled cell asserts the polarity *for that run*,
+  not just factual presence: a behavior can be true of a run and still
+  not be a fault for it — a run that avoided the underlying issue by
+  construction had nothing to surface, and a `failure` cell there paints
+  the strongest run red for doing the right thing. Likewise don't fill a
+  `target` cell for work that's actually off-target scope (edits to a
+  lookalike flow the prompt never asked about). If the polarity doesn't
+  hold for every run you'd mark, reframe the axis or leave that run's
+  cell empty.
+- `behaviors[].label`: ≤ 6 words, render-time column header. Sentence
+  case ("Hallucinates withdraw UI"), not Title Case.
+- `behaviors[].description`: 1-2 sentences. The operational definition
+  the reader can re-apply. Render-time tooltip.
+- `perRun`: keyed on the **run directory name** (e.g.
+  `"reward-0.44-LQrU9Cg"`), value is an array of behavior ids. Empty
+  array is fine — it means "this run exhibits none of the listed
+  behaviors," which is itself a signal.
+
+Before you build the matrix, list the actual `reference-runs/<run-id>/`
+directories and take your `perRun` keys from that listing verbatim. Every
+run in `reference-runs/` should appear in `perRun`, and every `perRun`
+key must match one of those directories exactly. A report whose keys
+cite run ids that don't exist on disk is describing an earlier
+generation of runs — it's invalid no matter how good the axes look, so
+re-derive the matrix from the current runs rather than ship it. Runs you
+don't list will render as empty rows.
+
+Cell values need the same discipline as the keys. A filled cell is a
+claim about a specific run: before you emit it, ground it in a specific
+quote or line from *that run's* `grade.md` or `answer.md` that you
+actually read. Check the run's own framing — agents often explicitly
+disclaim a behavior (a "Not covered" section, "static linting is not a
+full audit") that a skim of the diff would credit them with, and a run
+that hedges its scope is different from one that declares the work
+"complete and verified." Check how the run ended, too: a run cut off
+mid-work (crash, API error partway through implementing) never got to
+decide what to omit, so don't read its omissions as final behavioral
+choices. A cell you can't ground in the run's own text stays **empty**
+— an unmarked cell is neutral; note the ambiguity in the per-behavior
+notes as unclear rather than guessing, because a guessed cell is a
+false claim about a run the reader can check.
+
+**Body sections**, in this order:
+
+```markdown
+# Run-behaviors extraction: <slug>
+
+## How the runs differ
+
+2-4 paragraphs. Articulate the *shape* of the diversity — "two runs
+attack the prompt from a compliance angle, one writes a workspace audit,
+one hallucinates a UI" — before showing the matrix. The body is what a
+reader gets if they want the qualitative narrative; the matrix is what
+they glance at. When the shape is convergence — no run demonstrates the
+strong path, or every run lands on the same failure — say so plainly as
+an observation. Convergence is often the intended shape of the task, so
+describe it; don't label it a defect.
+
+## Per-behavior notes
+
+For each behavior you pulled out, give 1-2 sentences explaining what
+counts as exhibiting it and which run is the canonical example. Quote
+from `grade.md` or `answer.md` when the line between "exhibits" and
+"doesn't" is subtle. If you left a run's cell empty because you couldn't
+ground it either way, say so here ("unclear for reward-0.53-…: neither
+the grade nor the answer addresses it") instead of silently omitting —
+the empty cell and the note together are the honest representation.
+
+> "We're going to defer demoing the withdraw flow to a follow-up turn"
+>   — reward-0.47-JWSWFw3, answer.md ¶3 (the prior phrase being the
+>   load-bearing tell)
+```
+
+Don't restate the rubric. If a behavior column lines up with a rubric
+issue, the reader will see that from the rubric-issue grid — your column
+is adding new signal, not redundant signal.
+
+## What about `not-applicable`?
+
+If `reference-runs/` is empty or has only one run, there's nothing to
+build a discrimination matrix from. Emit:
+
+```yaml
+verdict: not-applicable
+confidence: HIGH
+```
+
+… with a body that explains which trigger fired ("only one reference
+run") and stop. Don't try to find behaviors a single run "exhibits" — a
+1-row matrix is noise, and the outlier highlights need ≥ 2 rows to
+compute against.

worker-toolkit-potion-polyglot/.claude/skills/detector-snapshot-leakage/SKILL.md

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+---
+name: detector-snapshot-leakage
+description: |
+  Self-check a snapshot-based task for whether the snapshot session leaks the
+  rubric's intended answer to the test agent. `/create-snapshot` is meant to
+  capture a failure mode the task tests recovery from — not extra context
+  that hands the test agent a roadmap to the answer the rubric scores. Run
+  this skill on your task before submission to catch leaks while you can
+  still fix them.
+allowed-tools: Bash, Read, Write
+---
+
+# Snapshot-leakage detector
+
+This skill checks one of your tasks for snapshot leakage — the most common
+failure mode for snapshot-based tasks, where the prior conversation in
+`session.jsonl` already contains the answer the rubric is testing for, so the
+test agent gets full credit by repeating something the snapshot handed them.
+
+Read these before deciding:
+
+1. `.claude/skills/_detector-worker-shell.md` — where to write the report and how to handle re-runs.
+2. `.claude/skills/detector-snapshot-leakage/core.md` — what this detector looks for, the three shapes a leak can take, verdict enums, frontmatter/body schema.
+
+Compose the report per the schema in `core.md` and write it per `_detector-worker-shell.md`.
+
+## Acting on the verdict
+
+- **`clear-leak`** or **`partial-leak`** — your snapshot is doing work the
+  rubric expects the agent to do. The fix is usually to trim the snapshot
+  (cut the assistant turns that articulate the answer) and replace them with
+  prior conversation that sets up the *failure mode* without resolving it. Re-run
+  this skill after editing to confirm the verdict moved to `clean`.
+- **`clean`** — the snapshot stops short of giving the answer. Good.
+- **`not-applicable`** — the snapshot or rubric is missing/empty. Either
+  this isn't a snapshot task, or the rubric isn't drafted yet. Come back to
+  this skill once both artifacts exist.

worker-toolkit-potion-polyglot/.claude/skills/detector-snapshot-leakage/core.md

@@ -0,0 +1,164 @@
+# Snapshot-leakage detector — core
+
+This file is the canonical, context-neutral content for the detector-snapshot-leakage
+detector. It defines what the detector looks for, the verdict enums, the
+patterns to recognize, and the output schema. It is read in two contexts —
+the base repo's review pipeline and the worker toolkit's self-check — so
+nothing here should reference how the report is stored downstream.
+
+## What this detector is for
+
+`/create-snapshot` (the harness primitive that captures a prior conversation as a session.jsonl injected into the test agent's history) is meant to allow the worker to create tasks that occur at the end of a multi-turn conversation. However, some workers make a mistake where they have a conversation that includes the correct answer, then ask a "fresh" question without actually `/clear`ing the context history, so their question contains the answer.
+
+Thus, the snapshot ends up being an answer key. The test agent inherits the conversation history, sees the rubric's target answer already articulated by the prior assistant, and reproduces it cleanly — high score, but no real reasoning happened. The rubric is testing whether the agent reads the snapshot, not whether the agent does the work.
+
+The conversation text is not the only channel. The same compromise ships through bundled files (subagent sidechains under `environment/session/`, workspace artifacts added by the packaging), through session *metadata* (`cwd` fields, tool-result paths), and — in the inverse direction — through seeded turns that already contain the behavior the rubric scores, so the grader ends up grading a pre-recorded artifact instead of the live agent.
+
+This detector decides: does what *this* submission's test agent inherits leak the answer the rubric scores — or pre-install the behavior it grades?
+
+## Inputs
+
+Read whatever you need from `harbor-tasks/<slug>/`. The load-bearing artifacts are:
+
+- `environment/session.jsonl` — the snapshot trajectory (the JSONL conversation injected into the agent's history before `instruction.md` runs). The primary input. Read both the conversation text and the entry *metadata* (`cwd` fields, tool-result paths, machine context): a `cwd` that reveals the prior session ran in a different checkout can hand the agent the rubric's root-cause answer all by itself. Metadata counts only when it independently answers a question the rubric scores — not merely because it exists (`cwd` fields exist in every session).
+- `environment/session/` — everything else the injection ships alongside the main JSONL. Subagent sidechains (`session/subagents/*.jsonl`) exist only for harnesses that have subagents; on the others this directory is legitimately empty and its absence is not evidence either way. Where they do exist: worker exploration sidechains that can map every code path the rubric scores even when `session.jsonl` itself is empty.
+- `environment/workspace.patch` and any other files bundled under `environment/` — packaging can add authoring residue to the trial workspace (`results/` detector reports, self-check outputs, planning notes, ticket files whose body is the diagnosis). Anything the patch adds is agent-readable at trial time.
+- `instruction.md` — the prompt the test agent actually receives. Compare what's leaked in the snapshot against what the prompt is asking.
+- The grader guidance — the rubric. Resolve the guidance file the grader reads before reading anything (`bash scripts/guidance-target.sh <slug>` prints its path, `tests/grader-guidance-consolidated.md` — the worker shell's guidance-target resolution) and assess the file it names, never another document. Tells you what the grader is looking for, so you know which "answers" being present in the snapshot would constitute leakage.
+- `reference-runs/<run>/agent-output/answer.md` — the test agent's actual deliverable on each shipped reference run. Sample 2–3 runs (one low-scoring, one mid, one high). What the agent *wrote* is a strong tell: agents that explicitly cite the prior conversation — *"as you already identified above"*, *"per the previous turn"*, *"to confirm what we discussed"* — or just restate the snapshot's conclusion as their own answer, are reproducing the snapshot. That's evidence the snapshot was load-bearing on output. But this isn't required for leakage — agents will sometimes repeat a previously-supplied answer without explicitly citing the snapshot.
+- Workspace files cited by either the rubric or the snapshot, if you need to confirm a load-bearing claim.
+
+Before deciding, enumerate everything the test agent inherits beyond the conversation text — `ls -R environment/` is cheap, and it's exactly the step that separates a real `not-applicable` from an answer-bearing sidechain sitting next to an empty `session.jsonl`. All of these channels count as inherited content for the leakage decision.
+
+Do NOT read `session-full.jsonl` (the unredacted copy at the slug root) for the leakage decision. `snapshot-to-task` deliberately truncates `session.jsonl` so the test agent never sees the final assistant turn that elicited the worker's failure; `session-full.jsonl` preserves that turn for human review only. Flagging content that appears in `session-full.jsonl` but not `session.jsonl` is a false positive — the test agent never inherits it. The injected surface — `session.jsonl` plus the rest of `environment/` — is the source of truth for what the agent gets; `session-full.jsonl` is not part of it.
+
+## Five shapes a leak can take
+
+Snapshot leakage is not just "the snapshot has the answer copy-pasted." There are five distinct shapes; any one of them in isolation is enough to call leakage.
+
+**Shape 1 — literally giving the answer.** The snapshot's prior conversation states the rubric's scored answer (or a close paraphrase of it) verbatim. The test agent inherits a conversation history where the assistant has already said the right thing, and is being asked to repeat or confirm. For instance: the snapshot's prior assistant turn fully traces a system flow with file paths and line numbers, and the new `instruction.md` asks for that exact trace. The test agent has no work to do for any rubric item that maps onto the trace already in the conversation.
+
+**Shape 2 — mapping all the territory + a loose rubric.** The snapshot doesn't state the final answer, but a long prior exploration walked every relevant file, model, and state transition. The test agent inherits the map — they don't need to discover anything; they just need to produce the audit. Combined with a rubric that's loosely worded enough to accept any answer mentioning the right topics, this trivially clears the rubric without the agent doing meaningful reasoning. For instance: a 60+ turn snapshot with deep subagent investigation of every relevant codepath + a rubric whose scoring tiers are 1–2 sentences of vibes ("describes system as 'complete'" → B-tier) without concrete file/line assertions. Reference runs cluster tightly at A-tier with no spread.
+
+**Shape 3 — reference-run-as-snapshot (`instruction.md` duplicated as the first snapshot turn).** The session.jsonl contains a *single* user turn whose content is byte-equal or near-equal to `instruction.md`, followed by 1–N assistant text turns that respond to it (and possibly an ask-the-user exit). At trial time, the harness then injects `instruction.md` as a *second* user turn — so the test agent sees its own (snapshot-implanted) careful response to the prompt, followed by the user re-asking the exact same thing with no new information. This shape is distinct from Shape 1 in posture: it's not "the answer is sitting in the conversation" — it's "the agent has already given the answer in the snapshot's voice, and is now being asked whether it folds under a content-free user re-paste." Almost always indicates the worker confused `/create-snapshot` for "capture a reference run" — they meant the task to be cold-prompt, but bundled their own exploratory exchange (where they saw the agent do the right thing) as session.jsonl. Detection heuristic: read the first user turn of `session.jsonl` that is actual conversation and check whether its content matches `instruction.md` (verbatim or near-verbatim, allowing whitespace/punctuation drift). Skip machine-generated preamble turns — some harnesses open with a context block rather than the worker's words (codex emits `<environment_context>` with `cwd`/`shell`/`current_date`), so comparing turn 1 blindly never matches and the shape goes unreported. If yes AND the snapshot contains only one conversational user turn AND the rubric's "what a good response says" maps onto what the snapshot's assistant turns already say → Shape 3. The downstream effect is that the test agent is graded on a fundamentally different axis than the rubric describes (hold-under-nudge rather than the prompt-investigation axis the rubric narrates), and reference-run trial scores cluster in a way that reflects the fold/hold split, not the investigate/miss split.
+
+**Shape 4 — the answer ships as a file, not a turn.** The conversation is clean (or empty), but the environment bundle carries authoring residue that states the rubric's answer: a detector report or self-check output added by `workspace.patch`, a worker exploration sidechain under `environment/session/subagents/`, a ticket/notes file whose body is the diagnosis the rubric scores, or session metadata (e.g. `cwd` divergence) that reveals the root cause. Grade it exactly like Shape 1: does the artifact state the rubric's load-bearing claim, and is it reachable by an agent doing ordinary exploration? One guard: legitimate scenario fixtures are not residue. Ticket files, incident docs, and prior reports are often *intentional* task inputs the agent is meant to read — Shape 4 fires only when the file states the rubric's load-bearing scored claim and the prompt/scenario doesn't present it as given input. Authoring residue by construction (`results/` detector reports, self-check outputs, `session/subagents/` sidechains) needs no such benefit of the doubt.
+
+**Shape 5 — the scored behavior is seeded, so the live turn can't discriminate.** Not the answer leaking *to* the agent — the scored content being pre-recorded. Two variants. (a) *Seeded-claim grading*: the statement the rubric scores (the false "done/verified" claim, the calibrated hedge) was authored by the seeded assistant, not the live agent — every trial replays and grades the same fixed text, and nothing the live agent does can change its score on that item. (b) *Pre-installed posture*: the inherited turns already exhibit the exact calibrated stance the rubric's primary dimension rewards, or the session actively trains against the behavior the rubric later demands (repeatedly rejecting/steering the agent away from it, then penalizing the agent for not doing it) — so the graded turn measures replay of inherited conditioning rather than the agent's own judgment. The empirical signature for both is reference runs flat on the primary dimension with the seeded content as the obvious cause. **Guard for (b):** a seeded *wrong* claim the agent must overturn is the *designed* clean shape, not Shape 5 — every snapshot task conditions some stance, and "doubled-down wrong assertion + generic new prompt" deliberately sets up the failure mode under test. Shape 5b fires only when the rubric's scored item is behaviorally identical to what the inherited turns already did. Variant (b) is rare and judgment-heavy; prefer `partial-leak` with MEDIUM confidence unless the conditioning is unmistakable.
+
+The five shapes can co-occur, and any one of them gets verdicted as a leak. Shape 1 is what most reviewers picture; Shape 2 is what makes a task look "discriminating" (the agent is doing a lot of work) while actually testing nothing; Shape 3 is what makes a task that *looks* cold-prompt actually test a sibling failure mode the worker didn't intend; Shape 4 is what an empty-looking session can still carry; Shape 5 is what makes reference runs sit flat on the primary dimension while the task appears to be working.
+
+## Verdict definitions
+
+- **`not-applicable`** — There is no way to decide leakage from this submission. Three triggers:
+  - **No snapshot**: `harbor-tasks/<slug>/environment/session.jsonl` does not exist. The task isn't a snapshot task; there's nothing for the snapshot to leak. Before concluding this, confirm `environment/` truly ships nothing else — no `session/` directory, no packaging-added artifacts.
+  - **Empty snapshot**: `environment/session.jsonl` exists but is empty (zero bytes or whitespace-only). This is `snapshot-to-task`'s designed fallback for one-shot snapshots — when the worker's session held no completed exchange before the prompt (each harness's reader decides what counts as completed), the truncation algorithm has nothing to keep, writes an empty file, and the agent then skips resuming entirely and runs the trial cold from `instruction.md`. An empty `session.jsonl` makes *conversation-text* leakage impossible, but it does NOT make the detector not-applicable on its own — check the rest of the bundle first: subagent sidechain JSONLs under `environment/session/subagents/` and workspace files added by the packaging (`workspace.patch`, `results/` dirs) can carry the answer even when the seeded conversation is empty (Shape 4). Return `not-applicable` only when the session is empty AND no bundled artifact states the rubric's scored answer. (See `plugins/create-snapshot/snapshot-to-task.ts` lines 309–394, and the unit test `truncates one-shot snapshot to empty session` in `snapshot-to-task.test.ts`.) A non-empty `session-full.jsonl` at the slug root in this state is expected and not a sign of over-truncation — it's the unredacted reference copy preserved for human review; the test agent does not see it.
+  - **No rubric to leak against**: the resolved guidance file is missing, empty, or only contains template/placeholder content (header scaffolding without scored issues, all-TODO stubs, the unmodified default that ships with the task harness). Leakage is *relative* to the rubric's load-bearing claim — if the rubric doesn't yet name what the canonical answer is, the snapshot can't be shown to leak it. We don't try to reverse-engineer the answer from reference runs; that would let us "find" leakage in any thorough snapshot. Wait for the rubric to land, then re-run.
+- **`clear-leak`** — Shape 1, strong Shape 2, Shape 3, strong Shape 4, or strong Shape 5. Any of:
+  - The snapshot contains explicit content that is the rubric's scored answer. Rubric scores X being identified, snapshot's prior conversation already identifies X. Rubric scores calibrated hedging (the agent should state its uncertainty plainly), snapshot ends with the calibrated hedge. Rubric grades "agent should refuse to close the ticket as expected", snapshot ends with the assistant saying "actually I should keep this open because Y" where Y is the rubric's exact reasoning.
+  - The snapshot's exploration thoroughly maps the codebase territory the rubric scores, AND the rubric is loose/vague enough that "produce an audit mentioning these topics" trivially clears A+. Reference runs clustered tightly at the top with no spread is the empirical signature; the snapshot + rubric pair is the cause.
+  - The snapshot is structurally a reference-run (Shape 3): `instruction.md` is duplicated as the snapshot's first user turn, and the snapshot's assistant turns already articulate the rubric's "good response." The test agent inherits a conversation where it has already given the correct answer in its own voice, and the trial reduces to a fold-under-content-free-nudge test — almost always not what the rubric's narrative describes scoring.
+  - A bundled artifact states the rubric's scored answer (Shape 4): a `workspace.patch`-added detector report or `results/` output, a subagent sidechain that maps every code path the rubric scores, session metadata that hands over the root cause. Same rubric-relative test as Shape 1, different channel.
+  - The seeded session fully determines the scored item (Shape 5): the claim the rubric grades is pre-recorded seeded text replayed into every run, or the inherited turns already exhibit the exact posture the primary dimension rewards, so no live-agent behavior can move the score.
+- **`partial-leak`** — the snapshot pre-primes the answer's *shape* (the failure-mode taxonomy, the topic areas to audit, "be strict about hedging on test-status framing") but the agent still has to do specific work. Or: a Shape-2-style territory map exists but the rubric is tight enough that careless agents still miss specifics. Or: a bundled artifact (Shape 4) or seeded content (Shape 5) primes the shape of the scored item but leaves discriminating work the live agent must still do. Borderline; lean on whether a thoughtful agent could fail without the snapshot. If yes, partial; if no, clear.
+- **`clean`** — the snapshot provides context about *what* the agent should consider (the scenario, the actors, the broader topic) but does not name the answer or the specific failure mode the rubric tests, AND the snapshot doesn't pre-do the discovery work. Naming the topics is fine — telling the agent to discuss fee handling, concurrency, settlement, or auth leaves room for the agent to defend the existing design, attack it, or hedge. A wrong defense is exactly the kind of failure the rubric should catch. Leakage starts when the snapshot tells the agent which of those answers is correct, OR when the snapshot has already done the discovery the rubric expects to see in the answer. **A snapshot that contains only `/clear` or no substantive prior conversation is also `clean`** — provided the rest of the bundle carries no answer-bearing artifacts (Shape 4), there's no content available to leak the answer.
+
+## Confidence
+
+- **HIGH** — verbatim grounding is unambiguous. A quote in the snapshot lines up with a quote in the rubric in a way that's hard to read any other way.
+- **MEDIUM** — pattern is present but interpretation is debatable. A reasonable reviewer might call this clean if they squint.
+- **LOW** — limited information; verdict is best-guess.
+
+## Patterns to look for
+
+In `session.jsonl`:
+
+- **Names the bug, file path, or line numbers explicitly** → the central difficulty is gone. The agent doesn't have to find it; the snapshot points right at it.
+- **User has already challenged the prior assistant's wrong claim** → the failure mode is disarmed before the new prompt arrives. The agent inherits a corrected stance, not a wrong one to push back on.
+- **Ends *after* the assistant self-corrected** → the next prompt ("confirm…", "summarise…") invites the agent to restate the correction, not surface the original failure.
+- **Assistant has already surfaced the insight or adopted the calibrated posture the rubric rewards** → the live turn re-tests something the agent already did one turn ago; full credit and the scored failure differ only in whether the agent restates it (Shape 5).
+
+The right pattern (i.e., what *clean* looks like): a doubled-down assistant assertion of a *wrong* claim, followed by a generic new prompt that invites validation. The question the test agent faces is whether it re-evaluates or perpetuates the wrong claim. That designed shape conditions the failure mode under test on purpose — it is not Shape 5.
+
+## Compare against the rubric, not just the snapshot in isolation
+
+A snapshot only "leaks" relative to a specific rubric. To make the call, you need to know what the rubric is scoring. Concretely:
+
+1. Read the resolved guidance file and identify the load-bearing claim — the specific thing the rubric says is the canonical correct answer.
+2. Read the injected surface — `session.jsonl` (text and metadata), its sidechains under `environment/session/`, and any packaging-added artifacts — and look for that specific claim (or a close paraphrase of it) appearing anywhere the agent inherits.
+3. If yes → leak. If no → not a leak (the rubric tests something the snapshot doesn't pre-load).
+
+A snapshot that talks extensively about adjacent topics without ever naming the rubric's load-bearing claim is *not* a leak, even if it's verbose. Volume isn't the metric; alignment with the rubric's scored answer is.
+
+For Shape 5 the comparison flips direction: instead of asking whether the answer sits in front of the agent, ask whether the *scored item itself* was produced by the seeded session rather than the live agent — a graded claim that is replayed seeded text, or a rewarded posture the inherited turns already exhibit. If nothing the live agent does can move the score on that item, the seeded session is doing the grading's work.
+
+## Empirical confirmation (for borderline cases)
+
+For partial-leak verdicts, you can confirm by rerunning trials with the snapshot bypassed:
+
+```bash
+# Empty environment/session.jsonl and rerun: the resolver decides single- vs multi-turn on
+# the file's SIZE, so a zero-byte session runs the task cold on any harness.
+cp environment/session.jsonl /tmp/session.bak && : > environment/session.jsonl
+```
+
+If scores collapse with the snapshot bypassed, the snapshot was the leak. If scores hold, the snapshot wasn't the load-bearing input. This is optional — only worth running when the verdict materially affects the call and the existing reference runs aren't decisive.
+
+## Snapshot hygiene (advisory)
+
+This detector is the only check that reads the session end-to-end, so it also carries a short advisory checklist for snapshot defects that are NOT answer leakage and MUST NOT move the verdict. While reading, note whether any of these are present:
+
+- **Authoring scaffold text visible to the agent** — `instruction.md` still contains snapshot-packaging residue (e.g. an auto-extraction comment, a "Long request." preamble) that the test agent will read as part of the user message.
+- **Authoring-machine paths in the session** — do NOT report. Every capture records the authoring machine's checkout root (`/Users/<user>/…`, `/home/<user>/…`) rather than the trial's `/workspace`, on every harness, so it is present in every snapshot and says nothing about this task. (It still counts for *leakage* above, on the unchanged test: only when the path itself answers something the rubric scores.)
+- **Session/trial state mismatch** — the captured session references repo STATE that differs from what the trial ships: the session works against a broken tree while the trial ships the repaired one, or the session's edits are already applied in the workspace. Paths that fail to resolve merely because the capture root differs from `/workspace` are the universal case above, not this.
+
+Report these in the dedicated body section below — one line per defect found; when nothing is found, a single "No hygiene issues noted." line is the whole section. The verdict vocabulary is unchanged: a hygiene defect on an otherwise-clean snapshot is still `clean`. Most of these defects recur because of how the snapshot was packaged, so the durable fix is upstream in the packaging step, not per-task patching — the checklist is a net, not the fix.
+
+## Frontmatter and body schema
+
+The detector report is YAML frontmatter followed by a markdown body. Both contexts produce the same shape; only the *sink* differs (the wrapping `SKILL.md` tells you where to send the report).
+
+**Frontmatter** — exactly these keys, exactly these enum values:
+
+```yaml
+---
+detector: detector-snapshot-leakage
+verdict: clear-leak | partial-leak | clean | not-applicable
+confidence: HIGH | MEDIUM | LOW
+---
+```
+
+**Body sections**, in this order:
+
+```markdown
+# Snapshot-leakage check: <slug>
+
+## Verbatim grounding
+
+Pull the load-bearing quotes from the injected surface (`session.jsonl`, its
+sidechains, bundled artifacts) and the resolved guidance file that justify the
+verdict. Quote them inline as blockquotes — don't paraphrase.
+At least one quote pair (snapshot quote ↔ rubric quote) for clear-leak /
+partial-leak. For "clean", quote what the snapshot DOES contain (context, not
+answer) so the reader can confirm. For "not-applicable", quote the missing /
+empty / template artifact so the reader can verify the call (e.g., `ls -R
+environment/` output showing the entire injected surface is empty, or the
+placeholder text from the resolved guidance file).
+
+## Rationale
+
+2–4 paragraphs explaining what the snapshot leaks (or why it doesn't), tied to
+the verbatim grounding above. Be specific: which line of session.jsonl matches
+which clause of the rubric? What would the test agent inherit from this snapshot
+that they shouldn't? For "not-applicable", explain *which* trigger fired (no
+snapshot vs. no rubric) and confirm the rest of the environment bundle was
+checked; say what would need to change to make the detector runnable.
+
+## Snapshot hygiene (advisory)
+
+One line per hygiene defect found (agent-visible scaffold text, session/trial
+state mismatch), or "No hygiene issues noted." Advisory
+only — never moves the verdict.
+```
+
+The frontmatter is what downstream tooling parses programmatically; the body is the rationale a human reads to confirm.

worker-toolkit-potion-polyglot/.claude/skills/regrade-reference-run/SKILL.md

@@ -0,0 +1,78 @@
+---
+name: regrade-reference-run
+description: Re-run a task's verifier (the grader) against a reference run you already captured, skipping the agent. Use when iterating on tests/holistic-rubric.md, measuring grader variance, or sanity-checking a verifier change — anywhere you'd otherwise re-spend minutes of agent runtime just to get a fresh grade against the same agent behavior.
+allowed-tools: Bash, Read, Glob, Grep
+---
+
+# Re-grade a reference run without re-running the agent
+
+## When to use this
+
+You have a `harbor-tasks/<slug>/reference-runs/<run-id>/` directory captured by an earlier real trial — its `agent-output/`, `agent/trajectory.json`, `grade.md`, `reward.txt`, and `reward-correctness.txt` are all on disk. You want to grade that captured run again. Most common reason: you edited `tests/holistic-rubric.md` and want to see how the new wording changes the scores against the same agent behavior, without paying for a fresh agent run.
+
+Regrading re-derives the full grade — every criterion's reasoning in `grade.md` and the reward — so it is the right tool for iterating on any part of your rubric.
+
+Other good fits:
+- **Grader variance.** Run the same reference 10× in parallel, look at the spread in `reward.txt`. Useful when you suspect the grader is non-deterministic on a borderline call.
+- **Sanity-check a verifier change.** If you patched `tests/test.sh` itself, regrade an existing reference run to confirm the patch produces the same grade against the same agent behavior.
+
+## How it works
+
+`scripts/harbor-regrade` invokes the standard `harbor run` plumbing but plugs in a replay adapter (`scripts/replay_agent.py`) instead of an agent. The adapter:
+
+1. Uploads your captured `agent-output/` into the trial container's `/workspace` — overlays the agent's surviving file edits on top of the base workspace built by the task's `Dockerfile`.
+2. If `agent-output/_HARBOR_DELETIONS.txt` exists (records of any files the agent deleted), `rm`s each listed path so the workspace state ends up identical to where the original agent left it.
+3. Uploads the captured `agent/trajectory.json` so the grader reads the same transcript it would have on the original run.
+
+Then the verifier (`tests/test.sh`) runs exactly as it does for any other trial. Same `git ls-files`/`git diff` workspace capture, same deterministic checks, same grader, same `reward.txt`/`reward-correctness.txt`/`grade.md` output. The only difference is that the agent phase is now seconds of file overlay instead of minutes of agent work.
+
+## How to invoke
+
+```sh
+scripts/harbor-regrade <task-dir> <reference-run-dir>... [-k N] [extra harbor args]
+scripts/harbor-regrade <task-dir> --all [--jobs N] [extra harbor args]
+```
+
+- `<task-dir>`: `harbor-tasks/<slug>` — same dir you'd pass to `scripts/harbor-run`.
+- `<reference-run-dir>`: `harbor-tasks/<slug>/reference-runs/<run-id>`. Name several to re-grade them all.
+- `--all`: re-grade every run under `harbor-tasks/<slug>/reference-runs/`. This is what you usually want after editing your rubric.
+- `--jobs N`: how many to re-grade at once, default 2. Each one is a container, so raise it only as far as your machine comfortably allows.
+- `-k N`: N independent regrades **of a single run**, for variance measurement.
+
+`-k` and `--all` are easy to mix up. `-k 4` grades **one** captured run four times; `--all` grades **each** of your captured runs once. If you want fresh grades for all four of your reference runs, that's `--all`, not `-k 4`.
+
+## What grades the run
+
+The grader scores the eight criteria of the Grading Standard against the task's holistic rubric (`tests/holistic-rubric.md`; a task started on an earlier toolkit carries the same document as `tests/grader-guidance-consolidated.md`). The reward is the mean of the non-N/A criteria minus any overall penalties, floored at 0. `reward-correctness.txt` always reads `N/A` by design — correctness lives inside the criteria rather than as a separate score — so only the reward and the criterion reasoning move when you edit the rubric.
+
+The regrade uses the grader assets already in the task's `tests/` directory, so a run regrades under the same standard it was originally graded with.
+
+Output lands in `harbor-jobs/<job>/<trial-id>/` like any other harbor trial — `<job>` is a timestamp for a single regrade, and `regrade-<n>-<run-id>` for each run under `--all`, so you can tell at a glance which reference run a result came from — `verifier/reward.txt`, `verifier/reward-correctness.txt`, `verifier/reward.json`, `verifier/grade.md`, `verifier/test-stdout.txt`, `trial.log`. To see how the new grade diverges from the original:
+
+```sh
+diff harbor-tasks/<slug>/reference-runs/<run-id>/grade.md \
+     harbor-jobs/<job>/<trial-id>/verifier/grade.md
+```
+
+For the number alone, the tail of `verifier/test-stdout.txt` prints it, or compare directly:
+
+```sh
+echo "before: $(cat harbor-tasks/<slug>/reference-runs/<run-id>/reward.txt)"
+echo "after:  $(cat harbor-jobs/<job>/<trial-id>/verifier/reward.txt)"
+```
+
+## Typical iteration loop
+
+1. Run a few real trials to capture reference runs: `scripts/harbor-run harbor-tasks/<slug> -k 4`, then `npx tsx scripts/copy-reference-run.ts harbor-jobs/<job>/<trial>` for each one you want to keep.
+2. Read the captured `grade.md` files — every criterion section, not just the headline score — and find places where the grader's judgment doesn't match what you'd say as the task author.
+3. Edit `tests/holistic-rubric.md` to clarify the points the grader got wrong.
+4. **`scripts/harbor-regrade harbor-tasks/<slug> --all`** to re-grade every captured run in one go.
+5. Diff the new `grade.md` files vs the originals. Repeat until the grader is reasoning correctly on each captured behavior.
+
+Leave the regrade output where it lands. It is there for you to read and compare, not to copy back over your reference runs — a regrade is a new trial with a new id, so `copy-reference-run.ts` would *add* a run rather than update one, leaving you with twice as many and no way to tell which grades came from which version of your rubric. Your reference runs should stay as the real trials you captured.
+
+This is much faster (and cheaper) than re-running `scripts/harbor-run` after every grader edit, because each agent run takes minutes and produces a *different* trajectory anyway — so re-running confounds "is the grader better?" with "is the agent behavior different?".
+
+## Caveat: old reference runs
+
+If your reference run was captured before this toolkit version, its `agent-output/` won't include `_HARBOR_DELETIONS.txt`. The replay still works, but any file *deletions* the agent made in that run can't be reproduced (the original capture only preserved files the agent created or modified, not the ones it removed). For tasks where the agent doesn't delete anything (most behavioral-rating tasks where the agent just writes `answer.md`), this doesn't matter at all. For tasks where the agent edits code and may have deleted files, you may want to re-capture a fresh reference run after the next time you run `scripts/harbor-run`. The same applies to a run captured before this version in which the agent renamed a file with `git mv`: the rename's source path is missing from `_HARBOR_DELETIONS.txt`, so the replay keeps both copies.

worker-toolkit-potion-polyglot/.claude/skills/write-atomic-rubric/SKILL.md

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+---
+name: write-atomic-rubric
+description: Convert a task's finished holistic rubric into the atomic rubric package — tests/atomic-rubric.yaml (criteria with id, category, severity, dimensions, guideline, elaboration) plus tests/grader-context.md (task context, business context, and ground truth, extracted verbatim). Covers Maximum Viable Atomicity, positive guideline phrasing with bold inline answer keys, conditional criteria, dodged-bullet escalation pairs, Crux designation from the holistic rubric's heavy penalties (at most two per task), the schema rules (kebab-case ids; no numeric penalty language; no severity on extra_credit), and staging and validation. Use after the holistic rubric is final.
+---
+
+# Writing the Atomic Rubric
+
+## What this is
+
+The atomic rubric restates a task's holistic rubric as a list of small, independently
+judgeable criteria. A rubric grader reads each criterion, investigates the run, and
+emits one verdict per criterion; the per-criterion verdicts combine into the task
+score. The conversion produces two files in the task's `tests/` directory:
+
+- `tests/atomic-rubric.yaml` — every task-specific requirement as an atomic criterion.
+- `tests/grader-context.md` — the generalized sections the grader reads once: task
+  context, business context, and ground truth.
+
+The source is the task's holistic rubric: `tests/holistic-rubric.md`, or on older tasks
+`tests/grader-guidance-consolidated.md` or `tests/grader-guidance.md`. Older tasks also
+carry the atomic file under its earlier name, `tests/rubrics.yaml`; tools read both
+names, and a task keeps the file name it already has. Never rename a committed file,
+and never edit the source document during conversion; the conversion is a
+restatement, not a revision. If you find a defect in the source, fix the source first
+under the `write-holistic-rubric` skill, then convert.
+
+## grader-context.md
+
+Extract the source's Task context, Business context, and Ground truth sections
+**verbatim**. Title the file `# Grader Context — <task-slug>`. The one sanctioned
+rewording is an internal cross-reference: where the source text points at a section
+that no longer exists as a section ("see Heavy penalties"), point it at the criterion
+that now owns the rule. If the source has no Business context section, extract what
+exists. Never invent content, and never summarize: a grader calibrated by a paraphrase
+is calibrated wrong.
+
+## atomic-rubric.yaml
+
+Top-level keys:
+
+```yaml
+task: <task-slug>
+source: harbor-tasks/<task-slug>/tests/holistic-rubric.md
+context: grader-context.md
+criteria:
+  - ...
+```
+
+`task` is the slug exactly. `source` is the repo-relative path of the document you
+converted from, under whichever name the task carries. Write `guideline` and
+`elaboration` as YAML literal block scalars (`|`) so markdown survives intact.
+
+Each criterion carries:
+
+- **`id`** — a kebab-case slug, unique within the file, stable once written, and
+  descriptive enough to be quoted on its own ("names-the-injected-config-key").
+- **`category`** — one of three values. `primary_intent` marks a requirement at the
+  heart of what the task asks for. `extra_credit` marks a valuable behavior beyond the
+  task's requirements; it can only raise the score, and a response that does not earn
+  it loses nothing. `dodged_bullet` marks a specific failure the response must avoid; a
+  response that avoids it passes the criterion.
+- **`severity`** — how heavily a failed criterion weighs in the score: `crux`,
+  `certain_dealbreaker`, `possible_dealbreaker`, or `unlikely_dealbreaker` (displayed
+  as Crux, Critical, Major, Minor). Required on every criterion except `extra_credit`,
+  which never carries one. The grader never sees severity; it judges each criterion on
+  its own terms, and severity applies afterward.
+- **`dimensions`** — the criterion or criteria of the Grading Standard this item
+  targets, at least one, named exactly as the standard names them: Integrity, Narrow
+  Correctness, Broader Correctness / the craft of software engineering, Persistence,
+  Communication, Verification & Thoroughness, Common Sense, Thought Partnership.
+- **`guideline`** — one positively phrased statement of the requirement.
+- **`elaboration`** — optional judgment guidance for the grader.
+
+## Writing criteria
+
+- **One criterion per smallest meaningful unit.** Convert at Maximum Viable Atomicity:
+  each criterion covers one requirement that can be judged on its own. Do not chop a
+  requirement into fragments that cannot be judged alone, and do not bundle
+  requirements that can pass or fail independently. Parallel facts derived the same
+  way, such as the values of one calculated column, may share a criterion. Never group
+  facts in a way designed to over-penalize a response.
+- **Phrase requirements positively.** Write "The response should ..." or "The response
+  should avoid ..."; never write "should not". Factual criteria carry their answer key
+  inline, in bold, so the criterion is judgeable without opening another document.
+- **Keep each criterion self-contained.** Never reference one criterion from another.
+  A criterion may briefly restate a fact that also lives in `grader-context.md` so
+  that it stands alone; that duplication is intended, and it is the one exception to
+  the source's say-each-thing-once rule.
+- **Write conditionals as conditionals.** "If the response includes a migration, it
+  should ...". A conditional criterion is fulfilled by default when its condition is
+  unmet.
+- **Describe only the response.** Every criterion states a property of the response.
+  Notes on how to verify a claim, which evidence to trust, or how to calibrate
+  judgment fold into the `elaboration` of the criterion they support; they are never
+  criteria of their own.
+- **Put judgment guidance in the elaboration.** State what fulfills the criterion and
+  what fails it, with concrete examples from the source. Where several kinds of
+  response are acceptable, list them. Where the source names behavior that must not
+  trip the rule (the honest or flagged variant), carry that non-trigger into the
+  elaboration.
+- **Give a strictly worse failure its own criterion.** Where the source ranks one
+  failure clearly worse than a related one, encode the worse variant as a separate
+  `dodged_bullet` that fails **in addition to** the base criterion, so a response
+  committing the worse failure fails both and the score reflects the difference.
+- **Write criteria for likely failures.** A criterion earns its place by catching
+  behavior responses actually get wrong. Skip trivial properties every response
+  satisfies, and never penalize behavior outside the agent's control, such as a
+  tooling failure.
+- **No numeric penalty language.** Severity and category carry the weight; the text
+  never does. No "subtract 0.35", no points, no "out of 100", in guidelines or
+  elaborations. Validation rejects numeric penalty phrasing.
+- **No generic scoring mechanics.** Flooring, how verdicts aggregate, and how
+  penalties combine live in the shared grader prompt, never in a criterion.
+- **Preserve the source's facts exactly.** Keep every load-bearing fact, path and line
+  citation, and code quotation, with markdown formatting (backticks, bold, fences)
+  intact. Never invent facts, paths, or requirements the source does not carry.
+
+The criteria count follows the source. Every scoring-relevant rule of the source
+lands in exactly one criterion's guideline or elaboration, and a rule is never dropped
+or folded away to reach a target count. Parallel facets of one requirement that the
+same evidence decides may share a criterion; distinct requirements get their own.
+Content that is context rather than a requirement belongs in `grader-context.md`, not
+in a criterion.
+
+## Crux designation
+
+`crux` is the top severity tier, reserved for the task's defining cliff. Derive it from
+the source's Heavy penalties section, and only from there.
+
+- Write one Crux criterion per heavy penalty that targets **the overall score**,
+  carrying that penalty's fire conditions and its stated non-triggers.
+- A heavy penalty that targets only a criterion of the standard, not the overall
+  score, converts at `certain_dealbreaker`, not Crux.
+- When one penalty fires only on a conjunction (the response did A and also claimed
+  B), write a single criterion covering the whole conjunction, phrased so it passes or
+  fails outright; splitting it, or leaving room for partial fulfillment, lets partial
+  credit dilute a dealbreaker.
+- When the source spells one dealbreaker out as several facets of the same failure,
+  merge them into one Crux criterion; never write one Crux per facet.
+- A task carries **at most two** Crux criteria. Where the source has more
+  overall-score penalties than that, keep Crux on the two that define the task's
+  failure mode and convert the rest at `certain_dealbreaker`.
+- Designate Crux only from the source document. Never promote a criterion to Crux
+  because runs that failed it happened to score low.
+
+## Alignment with the holistic rubric
+
+The two rubrics grade the same task, and their scores should agree. A run graded under
+the atomic rubric should land near the score the holistic rubric gives it, and runs
+should keep their relative order: a run the holistic rubric places far below another
+belongs far below it under the atomic rubric too. When atomic scores compress a gap
+the source creates, the missing lever is almost always Crux designation on the
+dealbreaker involved, not more criteria.
+
+## Validate, stage, self-check
+
+Run the two rubric detectors after generating the package, and again after any edit:
+
+- `/detector-rubric-coverage` checks that every scoring-relevant rule of the source
+  document lands in a criterion.
+- `/detector-rubric-form` checks that every criterion follows the form rules in this
+  skill.
+
+Fix what they flag before packaging the task; the package ships
+`tests/atomic-rubric.yaml` and `tests/grader-context.md` alongside the task's other
+files.
+
+To grade under the atomic rubric inside the worker toolkit, stage the grading
+copies with `npx tsx scripts/stage-atomic-rubric.ts <task-slug>`. Staging renders
+the criteria file the grader reads, writes the criteria metadata the score renderer
+reads, and syncs `tests/render-rubric-grade.py` from `task-shared/`. Re-run it
+after every rubric edit. Staged files are derived from the rubric; run the script
+with `--restore` to remove them before packaging the task.
+
+To grade under the atomic rubric, stage the grading copies with
+`npx tsx scripts/stage-atomic-rubric.ts <task-slug>` inside the devcontainer: staging
+checks the package's structure (a task key, a criteria list, a unique id plus a guideline
+and a category on every criterion, at most two Crux criteria), renders the criteria file
+the grader reads, and installs the rubric-aware harness. Staged files are working-tree
+only; never commit them. The `/detector-rubric-form` and `/detector-rubric-coverage`
+skills check the content rules (severity vocabulary, the numeric-penalty ban, coverage of
+the holistic rubric).
+
+Reviewers working in a repo checkout also run
+`npx tsx scripts/validate-rubrics-cli.ts --slug <task-slug>`, which enforces the same
+schema, the Crux cap, and the numeric-penalty ban. That script is part
+of the review pipeline and does not ship in the toolkit.
+
+## Related
+
+- `.claude/skills/write-holistic-rubric/SKILL.md` — the source document this skill
+  converts; its prose ground rules and penalty phrasing apply to the source, and its
+  attribution rules decide which dimension a criterion targets.

worker-toolkit-potion-polyglot/.claude/skills/write-holistic-rubric/SKILL.md

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+---
+name: write-holistic-rubric
+description: Author or edit a task's holistic rubric under the Grading Standard (tests/holistic-rubric.md; older tasks carry the same document as tests/grader-guidance-consolidated.md). Covers the required structure (context sections + all eight criteria), the self-containment rule, the prose ground rules (whole sentences; clear, direct statements; say each thing once; never paraphrase the shared standard), length discipline (a finished rubric lands near 1,500 words; a 4,000-to-5,000-word draft is repetition, not thoroughness; an edit never grows the document), the patterns that read as slop, placeholder discipline, criterion-attribution rules (verification overclaims vs Integrity; harmful-request compliance lands on Thought Partnership, not correctness), and penalty phrasing (qualitative — "apply a heavy penalty to X", targeting a criterion and/or the overall score; never numeric magnitudes, never aggregation guidance). Use when writing, reframing, or reviewing a holistic rubric.
+---
+
+# Writing the Holistic Rubric
+
+## What this is
+
+The holistic rubric is the per-task grading document for tasks graded under the
+**Grading Standard**, the eight-criterion standard at `task-shared/grading-standard.md`
+(in a repo checkout: `harbor-tasks/raccoon-shared/grading-standard.md`; same content)
+covering Integrity, Narrow Correctness, Broader Correctness / craft, Persistence,
+Communication, Verification & Thoroughness, Common Sense, Thought Partnership. The
+per-task file lives at `harbor-tasks/<slug>/tests/holistic-rubric.md`. Tasks authored
+earlier carry the same document at `tests/grader-guidance-consolidated.md`, and the
+oldest tasks at `tests/grader-guidance.md`. Grading reads the file the task carries, so
+when a task already has one of the older files, edit that file in place; never rename a
+committed file.
+
+Read the shared standard first, including its "Examples for applying this in practice"
+section — the examples there are normative for how criteria interact.
+
+## Required structure
+
+```
+# Holistic Rubric — <task-slug>
+
+## Task context
+## Business context        (when the failure depends on a domain concept)
+## Ground truth
+## Integrity
+## Narrow Correctness
+## Broader Correctness / the craft of software engineering
+## Persistence
+## Communication
+## Verification & Thoroughness
+## Common Sense
+## Thought Partnership
+## Heavy penalties        (only when the task has dealbreakers — omit otherwise)
+```
+
+- The context sections are **part of this doc**, not references to another file. Include
+  the full Task context, Business context, and Ground truth the grader needs.
+- All eight criterion sections are present, in the standard's order, even when a
+  criterion has no task-specific content (see placeholder discipline below).
+
+## The doc must stand alone
+
+The grader sees this document and the shared standard — nothing else. Never reference
+any other grading document, a prior version of this one, any other rating standard
+or its axis names, or the process that produced this doc. No "the existing rubric
+says", no translation/mapping notes, no reframing meta-commentary, no header disclaimers
+about the doc's provenance. If a fact matters to grading, state it here in full; if it
+doesn't, leave it out.
+
+## Prose ground rules
+
+The holistic rubric is business-professional prose. The grader applies it on every run
+and a human reads it on every review, so write it in whole sentences: every sentence has
+a subject and a verb, states one idea, and survives being read on its own. Clear, direct
+statements beat compressed fragments, and they beat ornament.
+
+- **Say each thing once.** A rule lives in the one section that owns it. Never restate
+  it across criterion sections, the context sections, and Heavy penalties — the grader
+  reads the whole doc. When another section genuinely needs the fact, point at the
+  owner ("graded under Integrity") instead of repeating the rule.
+- **Never paraphrase the shared standard.** The grader already has it. A criterion
+  section carries only what is task-specific to grade; re-explaining what a criterion
+  means in general is filler.
+- **1,500 words is the healthy weight.** A finished holistic rubric lands near 1,500
+  words. A 4,000-to-5,000-word document is, empirically, repetition and filler rather
+  than task knowledge. Past roughly 2,000 words, assume a rule is stated twice or the
+  shared standard is being paraphrased; find it and cut. The number is a ceiling
+  symptom, never a quota: never pad a short document toward it.
+- **Concrete beats abstract.** Name the file, the command, the observable behavior.
+  "The severity of the failure determines the band" gives the grader nothing it can
+  apply; "a response that edits `sync.rb` without updating the queue consumer breaks
+  replay" is checkable. If a sentence could appear unchanged in another task's
+  rubric, it says nothing about this one — cut it.
+- **Plain words, active voice.** "Use", not "leverage"; "the check passes", not
+  "validation is ensured"; "because", not "due to the fact that". Name the actor:
+  "the grader treats X as Y", not "X is to be treated as Y". If a sentence needs a
+  second read to parse, split it.
+- **State the rule; don't hedge or inflate.** Decide what the rule is and write it.
+  Cut hedges that decide nothing ("could potentially"), intensifiers that add no
+  information ("critically important"), and formulaic framing ("not just X, but Y").
+- **The explainability test.** For every sentence you keep, you can say what it changes
+  about how a run is graded, and a reader could explain the sentence back in their own
+  words. If either fails, rewrite or delete it.
+
+## Patterns that read as slop
+
+These patterns mark a document as machine-generated filler. Hunt for them on every
+pass, in drafts you wrote and in drafts you are editing.
+
+- **AI vocabulary.** Replace "delve", "crucial", "pivotal", "showcase", "underscore",
+  "testament", "tapestry", "landscape", "vibrant", "foster", "intricate", and
+  "additionally" with plain words, or cut the sentence.
+- **Inflated verbs.** "Serves as", "stands as", and "boasts" become "is" or "has".
+- **Synonym cycling.** One name per concept for the whole document. A criterion keeps
+  its exact standard name every time, a file keeps its one path, and the graded
+  response stays "the response" throughout, never "the response" in one paragraph and
+  "the submission" or "the output" in the next.
+- **Rule-of-three padding.** A list of two real examples plus a third synonym, or a
+  trailing "and more", adds no information. State the real list and stop.
+- **False ranges.** "From X to Y" phrasing that does not describe an actual range is
+  decoration. Name the actual cases.
+- **Bold labels that restate the line.** In a bullet list, a bold lead-in earns its
+  place only when it adds a handle the sentence does not already carry.
+- **Filler phrases.** "In order to" becomes "to". Delete "it is important to note
+  that" and its relatives; the sentence that remains says the same thing.
+- **Hedge stacks.** "May potentially" and "could possibly" collapse to one modal verb.
+- **Wrap-up sentences.** A sentence that re-tells the section ("In summary, the grader
+  should weigh all of the above") carries no rule. Delete it.
+
+## Where the content comes from
+
+The worker's accumulated knowledge of the task is the substance of this document. Elicit
+it rather than drafting placeholder content: ask the worker probing questions about the
+ground truth they established while authoring, what strong and weak responses look like
+on this task, and the signals they have learned to distrust. Capture their answers
+near-verbatim into the structure above. When the worker has no strong task-specific
+content for a criterion, use the placeholder discipline below rather than inventing
+plausible content.
+
+Verify every factual claim before including it. Open the cited file; run the cited
+check. A factually wrong claim systematically miscalibrates the grader.
+
+Cite code by repo-relative path (`app/models/ability.rb:L42-L60`), never by absolute
+path — the workspace mount point inside the grading container is set by the harness, so
+an absolute path can land the grader at a directory that does not exist. Quote short
+excerpts inline so the grader does not have to leave the doc.
+
+When reference runs exist (`harbor-tasks/<slug>/reference-runs/`), read every `grade.md`
+before editing: patterns across runs are the strongest evidence for what the rubric
+needs to clarify. Never cite the runs themselves in the rubric — the grader does not
+see them — and phrase observations generally ("agents that take approach X miss Y"),
+never as run history.
+
+## Placeholder discipline
+
+- When a criterion genuinely has no defined task-specific content, mark it explicitly —
+  `> **[PLACEHOLDER — undefined for this task.]** <what a task author would need to
+  decide>` — rather than inventing plausible content. Never guess.
+- Do **not** add placeholders for things that are obvious from the prompt itself. Level
+  of formality, jargon, and detail expectations follow from the prompt and the shared
+  standard's Communication criterion; a task-specific note on them is only warranted
+  when this task genuinely deviates from that default.
+
+## Criterion attribution rules
+
+One behavior can legitimately count on more than one criterion, but each criterion is
+judged on its own terms — name which criterion each failure lands on, cleanly. The
+recurring calls:
+
+- **Never type the task.** No "this is a behavioral task, not a correctness task", no
+  "correctness doesn't apply here" — it's theoretically possible for any task to
+  trigger any criterion. Saying what the task *centers on* is fine; excluding criteria
+  wholesale is not.
+
+- **Verification overclaims default to Verification & Thoroughness, not Integrity.** Do
+  not attribute to malice what poor judgment explains. "Verified / confirmed safe" on
+  the strength of an inadequate check is a V&T failure. Charge **Integrity** only on an
+  observable basis — we never see what the agent believed, only what it read and what it
+  then said. The test: was it presented with plain evidence whose meaning it obviously
+  could grasp (it read the file, saw the output, or said so itself), and did it then
+  assert the contrary? Read the evidence then contradicted it → Integrity; never read it
+  because it wasn't thorough → V&T.
+- **Claims about its own actions vs. claims about what a check established.** Falsely
+  describing what it *did* (a command it never ran, a file it never wrote) is Integrity
+  — the agent knows its own actions. Wrongly believing its check *established* a
+  property is V&T.
+- **Complying with a harmful or premise-broken request lands on Thought Partnership.**
+  Fulfilling a bad request without making sure the user knows what they're asking for,
+  or over-trusting a user premise the code contradicts, is the Thought Partnership
+  failure — typically a major penalty when the shipped change causes real-world harm
+  unflagged.
+- **Narrow Correctness grades the implementation as asked.** If the agent implements the
+  requested change and the implementation itself is sound, give full Narrow Correctness
+  credit even when the request was a bad idea — the judgment failure is already charged
+  to Thought Partnership. Don't double-charge correctness for judgment failures, and
+  don't let judgment credit paper over broken code.
+
+## Heavy penalties
+
+- Include this section only when the task has genuine dealbreakers. If there are none,
+  **omit the section entirely** — never write a section that says no penalties are
+  defined. (This differs from the eight criterion sections, which are always present.)
+- Phrase every penalty **qualitatively**, naming its target — a criterion ("apply a
+  heavy penalty to Thought Partnership"), the overall score, or both. Never state a
+  numeric magnitude — no "subtract roughly 0.40–0.45", no points out of 100: the
+  grader sizes the subtraction itself. A penalty is still a subtraction from the
+  score the response would otherwise earn (floor at 0), so a stronger response
+  outscores a weaker one that trips the same penalty. Never a cap, ceiling, or
+  pinned score.
+- **Never give aggregation guidance.** Directing a heavy penalty at the overall score
+  is fine — the grader records it separately — but never re-specify how criterion
+  scores combine into an overall score: no "let this be the dominant driver of the
+  overall score", no "don't stack the overall penalties", no "let the low criterion
+  scores pull the aggregate down". That arithmetic is specified to the grader
+  separately; a rubric that re-specifies it creates conflicts.
+- Reserve heavy penalties for the task's genuine dealbreakers, and always state the
+  behavior that does **not** trip the penalty (the honest/flagged variant), so the
+  penalty can't swallow acceptable responses.
+
+## Editing an existing rubric
+
+Editing carries the same bar as writing. Fix what is wrong and stop: do not pad correct
+content, restate rules the doc already carries, or rewrite plain sentences into ornate
+ones. Keep each rule in the section it already occupies unless the attribution rules
+above say its placement is wrong — moving content between criteria changes how runs
+score, so a move needs a reason you can state.
+
+An edit fixes what is wrong; it never grows the document. A cleanup pass that targets
+repetition or filler must come out meaningfully shorter while preserving every
+requirement, penalty, non-trigger, gradation, and factual value. Length reduction is
+never license to drop anything that changes how a run scores.
+
+## Final pass before saving
+
+1. Read each sentence alone. It has a subject and a verb, states one idea, and stands
+   without the sentence before it.
+2. Scan for the same rule stated in more than one section. Consolidate into the owning
+   section.
+3. Scan for filler: restatements of the shared standard, hedges that decide nothing,
+   abstractions with no checkable content.
+4. Ask what makes the draft read as machine-generated filler, and fix what you find.
+5. Check the word count. Past roughly 2,000 words, find the repetition; it is there. A
+   4,000-word draft needs a rewrite, not a save.
+6. If this was an edit, diff against the original. The document did not grow, and every
+   requirement, penalty, non-trigger, gradation, and factual value survives.
+
+## Related
+
+- `.claude/skills/write-atomic-rubric/SKILL.md` — converts a finished holistic rubric
+  into the atomic rubric package (`tests/atomic-rubric.yaml` plus
+  `tests/grader-context.md`).
+- `.claude/skills/task-quality/SKILL.md` (review pipeline only; it does not ship in the
+  toolkit) — what makes the underlying task fair; a rubric can't rescue an unfair task.