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project-work/worker-toolkit-flaredown/.claude/skills/detector-good-response-defined/SKILL.md

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name, description, allowed-tools
name description allowed-tools
detector-good-response-defined 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). 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.