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skill-comply
Visualize whether skills, rules, and agent definitions are actually followed — auto-generates scenarios at 3 prompt strictness levels, runs agents, classifies behavioral sequences, and reports compliance rates with full tool call timelines. Use when checking whether agents actually follow the skills, rules, and definitions they were given, rather than assuming they do.
DeepseekModel
キュレーション済みスキル
品質 優秀 · 90
v1.0.0
取得
https://deepseekmodel.com/api/download.php?id=affaan-m-ecc-skills-skill-comply-skill-md&format=skill
ダウンロード .skill
標準形式。system_prompt と model_config を収録し、任意の Agent で利用可能
.skill ファイルの system_prompt フィールドの実際の内容。
name skill-comply description Visualize whether skills, rules, and agent definitions are actually followed — auto-generates scenarios at 3 prompt strictness levels, runs agents, classifies behavioral sequences, and reports compliance rates with full tool call timelines. Use when checking whether agents actually follow the skills, rules, and definitions they were given, rather than assuming they do. metadata {"origin":"ECC"} tools Read, Bash skill-comply: Automated Compliance Measurement Measures whether coding agents actually follow skills, rules, or agent definitions by: Auto-generating expected behavioral sequences (specs) from any .md file Auto-generating scenarios with decreasing prompt strictness (supportive → neutral → competing) Running claude -p and capturing tool call traces via stream-json Classifying tool calls against spec steps using LLM (not regex) Checking temporal ordering deterministically Generating self-contained reports with spec, prompts, and timelines Supported Targets 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 User runs /skill-comply <path> User asks "is this rule actually being followed?" After adding new rules/skills, to verify agent compliance 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: Expected behavioral sequence (auto-generated spec) Scenario prompts (what was asked at each strictness level) Compliance scores per scenario 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.
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ダウンロードした .skill に含まれるフィールド。
| フィールド | 説明 |
|---|---|
| format | フォーマット識別子(skill/v1) |
| skill_id | スキル固有 ID |
| name | スキル名 |
| version | バージョン |
| description | 説明 |
| category | カテゴリ(配列) |
| trigger_words | トリガーワード |
| tags | タグ |
| source | ソース |
| source_url | ソース URL(本ページ) |
| exported_at | エクスポート日時(ダウンロード毎) |
| system_prompt | システムプロンプト本文 |
| model_config | モデル設定:provider / model / temperature / max_tokens / top_p |
| examples | サンプル |
| install_guide | 各プラットフォームの導入説明(Coze / Dify / Claude / カスタム) |