skill-contract-reviewer
GitHub用于在 Agent Skill 打包前验证其规范性,通过检查脚本校验 SKILL.md 元数据与决策模型,识别最小可组合原语集,确保技能符合可移植契约标准。
Trigger Scenarios
Install
npx skills add rohitg00/ai-engineering-from-scratch --skill skill-contract-reviewer -g -y
SKILL.md
Frontmatter
{
"name": "skill-contract-reviewer",
"license": "MIT",
"metadata": {
"lesson": "22"
},
"description": "Validate an Agent Skill package and choose the right instruction, capability, or lifecycle primitive before implementation."
}
Skill contract reviewer
Use this skill when a workflow is about to become a reusable agent artifact.
- Set
SKILL_ROOTto the absolute directory containing this installedSKILL.md. Do not assume the process working directory is the bundle. - Set
TARGET_ROOTto the absolute original workspace working directory and resolve the proposed skill directory under that root. - Read
$SKILL_ROOT/references/contract.mdand validate the portableSKILL.mdidentity fields. - Read
$SKILL_ROOT/references/decision-model.mdand separate repository context, reusable method, external capability, lifecycle timing, deterministic logic, and isolated delegation. - Before execution, show the exact resolved argument vector. Run
python3 "$SKILL_ROOT/scripts/check_skill.py" "$TARGET_SKILL", whereTARGET_SKILLis the absolute proposed skill directory underTARGET_ROOT. - Inspect the JSON report. Fix every error before discussing host-specific extensions.
- Compare the proposed artifact with
$SKILL_ROOT/assets/task-shapes.jsonand 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.
Version History
- 39ea8a1 Current 2026-08-28 11:20


