skill-comply
AIエージェントの行動規範テストシナリオを自動生成し、コードエージェントがスキル定義とルール要件に厳密に従っているかを検証します。
npx skills add https://github.com/affaan-m/everything-claude-code --skill skill-complyBefore / After 効果比較
1 组AIエージェントの動作検証のため、手動でテストケースを作成し、各出力が仕様に準拠しているかを手動で確認します。1つのエージェントに数日かかり、カバレッジが限定的で、エッジケースを見落としがちです。
仕様書から完全なテストスイートを自動生成し、様々な厳格度レベルのテストシナリオを含みます。自動で実行し、コンプライアンスレポートを生成し、2時間で包括的な検証を完了します。
skill-comply
skill-comply: Automated Compliance Measurement
Measures whether coding agents actually follow skills, rules, or agent definitions by:
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Auto-generating expected behavioral sequences (specs) from any .md file
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Auto-generating scenarios with decreasing prompt strictness (supportive → neutral → competing)
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Running
claude -pand capturing tool call traces via stream-json -
Classifying tool calls against spec steps using LLM (not regex)
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Checking temporal ordering deterministically
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Generating self-contained reports with spec, prompts, and timelines
Supported Targets
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Skills (
skills/*/SKILL.md): Workflow skills like search-first, TDD guides -
Rules (
rules/common/*.md): Mandatory rules like testing.md, security.md, git-workflow.md -
Agent definitions (
agents/*.md): Whether an agent gets invoked when expected (internal workflow verification not yet supported)
When to Activate
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User runs
/skill-comply <path> -
User asks "is this rule actually being followed?"
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After adding new rules/skills, to verify agent compliance
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Periodically as part of quality maintenance
Usage
# Full run
uv run python -m scripts.run ~/.claude/rules/common/testing.md
# Dry run (no cost, spec + scenarios only)
uv run python -m scripts.run --dry-run ~/.claude/skills/search-first/SKILL.md
# Custom models
uv run python -m scripts.run --gen-model haiku --model sonnet <path>
Key Concept: Prompt Independence
Measures whether a skill/rule is followed even when the prompt doesn't explicitly support it.
Report Contents
Reports are self-contained and include:
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Expected behavioral sequence (auto-generated spec)
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Scenario prompts (what was asked at each strictness level)
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Compliance scores per scenario
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Tool call timelines with LLM classification labels
Advanced (optional)
For users familiar with hooks, reports also include hook promotion recommendations for steps with low compliance. This is informational — the main value is the compliance visibility itself. Weekly Installs325Repositoryaffaan-m/everyt…ude-codeGitHub Stars114.8KFirst Seen6 days agoSecurity AuditsGen Agent Trust HubFailSocketWarnSnykFailInstalled oncodex314cursor281gemini-cli280github-copilot280cline280opencode280
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