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codexkit-bug-hunt

Reproduce, isolate, patch, and verify defects with explicit expected-versus-observed behavior.

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含まれるファイル(5)

  • SKILL.md1.9 KB
  • agents/openai.yaml181 B
  • examples/common-mistakes.md805 B
  • examples/good-output.md828 B
  • verification/checklist.md1.3 KB

SKILL.md(原文)

インストールする前に、エージェントに与えられる指示の中身を確認できます。

Bug Hunt

Use this skill when a report says something is broken and you need disciplined debugging rather than guesswork.

Workflow

  1. Capture exact observed behavior and expected behavior.
  2. Reproduce with the cheapest reliable path.
  3. Narrow the failure boundary before editing code.
  4. Patch the smallest credible cause.
  5. Verify the original failure and nearby regressions.

Required outputs

  • reproduction path
  • root-cause hypothesis
  • patch summary
  • verification notes

Avoid

  • fixing symptoms without a reproduction
  • stacking unrelated cleanup into the bug fix
  • claiming a root cause without evidence

Quality Criteria

  • Every finding is tied to a specific evidence source (log, test, metric)
  • Pass/fail criteria are binary and measurable — no subjective judgments
  • Severity levels are assigned with clear thresholds
  • Remediation steps are provided for all critical and high findings

Verification (4C)

CheckQuestion
CorrectnessAre all pass/fail criteria applied against the correct standard or rule?
CompletenessWere all required dimensions or checklist items evaluated?
Context-fitDoes the verification scope match the actual risk level of the deliverable?
ConsequenceIf this passed verification but had a hidden flaw, what is the worst-case impact?

Edge Cases

  • Incomplete data for full assessment — Document which checks were limited and flag for re-verification when data becomes available.
  • Ambiguous pass/fail criteria — Request clarification from the standard owner before scoring. Mark as 'Needs Review'.
  • Multiple overlapping standards — Identify the governing standard and note where others diverge.

Changelog

  • v1.0.0 — Initial release

レビュー

まだレビューはありません。使ってみた感想をお寄せください。

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