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cccskills
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skill-contract-reviewer

Validate an Agent Skill package and choose the right instruction, capability, or lifecycle primitive before implementation.

rohitg00/ai-engineering-from-scratch
インストール方法を見る

含まれるファイル（5）

  • SKILL.md1.8 KB
  • assets/task-shapes.json634 B
  • references/contract.md1.0 KB
  • references/decision-model.md1.0 KB
  • scripts/check_skill.py6.9 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。

Skill contract reviewer

Use this skill when a workflow is about to become a reusable agent artifact.

  1. Set SKILL_ROOT to the absolute directory containing this installed SKILL.md. Do not assume the process working directory is the bundle.
  2. Set TARGET_ROOT to the absolute original workspace working directory and resolve the proposed skill directory under that root.
  3. Read $SKILL_ROOT/references/contract.md and validate the portable SKILL.md identity fields.
  4. Read $SKILL_ROOT/references/decision-model.md and separate repository context, reusable method, external capability, lifecycle timing, deterministic logic, and isolated delegation.
  5. Before execution, show the exact resolved argument vector. Run python3 "$SKILL_ROOT/scripts/check_skill.py" "$TARGET_SKILL", where TARGET_SKILL is the absolute proposed skill directory under TARGET_ROOT.
  6. Inspect the JSON report. Fix every error before discussing host-specific extensions.
  7. Compare the proposed artifact with $SKILL_ROOT/assets/task-shapes.json and return the smallest composable set of primitives.

Do not claim that a runtime extension is part of the portable contract. Do not treat a valid skill as permission to run scripts or access tools.

Return the validation report, the selected primitives, and one sentence explaining each selection. Include execution evidence with the resolved script path, resolved target path, cwd, exact argv, and exit code. If the host cannot expose one of those observations, mark it unverified instead of inventing it.

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