affaan-m/ECC

skill-comply

Review skill-comply's use cases, installation, workflow, and original source instructions.

71Collecting
See how to use itView GitHub source
npx skills add https://github.com/affaan-m/ECC --skill "docs/ja-JP/skills/skill-comply"
Automated source guide

Source checked Jul 28, 2026·Refresh due Oct 26, 2026

Reorganized from the pinned upstream SKILL.md

Turn skill-comply's source instructions into a guide you can follow

According to the pinned SKILL.md from affaan-m/ECC: コーディングエージェントがスキル、ルール、またはエージェント定義を実際に遵守しているかを以下の方法で測定する:

npx skills add https://github.com/affaan-m/ECC --skill "docs/ja-JP/skills/skill-comply"
Check the pinned source

Best fit

  • Review skill-comply's use cases, installation, workflow, and original source instructions.

Bring this context

  • A concrete task that matches the documented purpose of skill-comply.
  • The files, examples, or context the task depends on.
  • Your constraints, target environment, and definition of done.

Expected outputs

  • A result that follows the pinned skill-comply instructions.
  • A concise record of assumptions, inputs used, and unresolved questions.
  • A final check against the source workflow and relevant permission signals.

Key source sections

Read skill-comply through these 5 source sections

Sections are extracted automatically from the pinned SKILL.md and link back to the source.

01

サポートされるターゲット

スキル(skills//SKILL.md):検索優先、TDDガイドなどのワークフロースキル ルール(rules/common/.md):testing.md、security.md、git-workflow.md などの強制的なルール エージェント定義(agents/.md):エージェントが期待される場面で呼び出されるか(内部ワークフロー検証は未サポート)

SKILL.md · サポートされるターゲット
スキル(skills//SKILL.md):検索優先、TDDガイドなどのワークフロースキルルール(rules/common/.md):testing.md、security.md、git-workflow.md などの強制的なルールエージェント定義(agents/.md):エージェントが期待される場面で呼び出されるか(内部ワークフロー検証は未サポート)
02

起動条件

ユーザーが /skill-comply を実行する ユーザーが「このルールは本当に遵守されているか?」と尋ねる 新しいルール/スキルを追加した後、エージェントの遵守を確認する 品質メンテナンスの一環として定期的に実行する

SKILL.md · 起動条件
ユーザーが /skill-comply を実行するユーザーが「このルールは本当に遵守されているか?」と尋ねる新しいルール/スキルを追加した後、エージェントの遵守を確認する
03

使い方

Review the “使い方” section in the pinned source before continuing.

SKILL.md · 使い方
Review and apply the “使い方” source section.
04

Full run

uv run python -m scripts.run /.claude/rules/common/testing.md

SKILL.md · Full run
uv run python -m scripts.run /.claude/rules/common/testing.md

SkillSignal prompt templates

Provide the task, context, and acceptance criteria

These prompts were written by SkillSignal from the source structure; they are not upstream text.

Task-start prompt

Confirm source fit, inputs, and outputs before acting.

Use skill-comply to help me with: [specific task]. Context: [files, data, or background]. Constraints: [environment, scope, and prohibited actions]. Before acting, check the pinned SKILL.md and explain which sections apply, what inputs are still missing, and what you will deliver.

Source-guided execution

Make the Agent explicitly follow the key extracted sections.

Apply the pinned skill-comply source to [task]. Pay particular attention to these source sections: “サポートされるターゲット”, “起動条件”, “使い方”, “Full run”, “Dry run (no cost, spec + scenarios only)”. Preserve the important decision at each step. Mark facts not covered by the source as “needs confirmation” instead of inventing them. Then verify the result against my acceptance criteria: [criteria].

Result-review prompt

Check omissions, permissions, and source drift before delivery.

Review the current skill-comply result: (1) does it satisfy the original task; (2) were any applicable steps or limits in the pinned SKILL.md missed; (3) did it perform any unauthorized file, command, network, or data action; and (4) which conclusions remain unverified? List issues first, then fix only what the source or user authorization supports.

Output checklist

Verify each item before delivery

The task matches the purpose documented in the SKILL.md.

The source section “サポートされるターゲット” has been checked.

The source section “起動条件” has been checked.

The source section “使い方” has been checked.

The source section “Full run” has been checked.

Inputs, constraints, and acceptance criteria are explicit.

Unverified facts, compatibility, and outcome claims are clearly marked.

Any file, command, network, or data action has been reviewed.

Choose a different workflow

When another Skill is the better fit

FAQ

What does skill-comply do?

コーディングエージェントがスキル、ルール、またはエージェント定義を実際に遵守しているかを以下の方法で測定する:

How do I start using skill-comply?

The catalog detected this source-specific install command: npx skills add https://github.com/affaan-m/ECC --skill "docs/ja-JP/skills/skill-comply". Inspect the command and pinned source before running it.

Which Agent platforms does it declare?

No dedicated Agent platform is declared in the pinned source record.

Repository stars
234,327
Repository forks
35,711
Quality
71/100
Source repository last pushed

Quality breakdown

Based on traceable docs and repository signals; stars are not treated as quality.

71/100
Documentation20/30
Specificity14/25
Maintenance20/20
Trust signals17/25

Compare before choosing

Related Agent Skills and source variants

These links are selected from shared tasks, functions, stacks, platforms, and same-name variants. Compare the source owner, documentation, permissions, and maintenance signals.

skill-comply by affaan-m

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

skill-comply by affaan-m

Review skill-comply's use cases, installation, workflow, and original source instructions.

ab-testing by coreyhaines31

When the user wants to plan, design, or implement an A/B test or experiment, or build a growth experimentation program. Also use when the user mentions "A/B test," "split test," "experiment," "test this change," "variant copy," "multivariate test," "hypothesis," "should I test this," "which version is better," "test two versions," "statistical significance," "how long should I run this test," "growth experiments," "experiment velocity," "experiment backlog," "ICE score," "experimentation program

churn-prevention by coreyhaines31

When the user wants to reduce churn, build cancellation flows, set up save offers, recover failed payments, or implement retention strategies. Also use when the user mentions 'churn,' 'cancel flow,' 'offboarding,' 'save offer,' 'dunning,' 'failed payment recovery,' 'win-back,' 'retention,' 'exit survey,' 'pause subscription,' 'involuntary churn,' 'people keep canceling,' 'churn rate is too high,' 'how do I keep users,' or 'customers are leaving.' Use this whenever someone is losing subscribers o

design-intelligence by event4u-app

Grounded design brief from the adopted corpus — style, WCAG-checked color tokens, typography, layout pattern, anti-patterns. Use on ui-design-brief or any which-style/palette/font/chart decision.

View original Skill.mdThis page is parsed directly from the repository SKILL.md without editorial rewriting. Collected: Jul 28, 2026 · about 1 min

skill-comply:自動化された遵守測定

コーディングエージェントがスキル、ルール、またはエージェント定義を実際に遵守しているかを以下の方法で測定する:

  1. 任意の .md ファイルから期待される動作シーケンス(仕様)を自動生成する
  2. プロンプトの厳格度が段階的に低下するシナリオを自動生成する(支持的 → 中立的 → 競合的)
  3. claude -p を実行し、stream-json 経由でツール呼び出しトレースを取得する
  4. 正規表現ではなくLLMを使用してツール呼び出しを仕様ステップに分類する
  5. 決定論的に時系列順を確認する
  6. 仕様、プロンプト、タイムラインを含む自己完結型レポートを生成する

サポートされるターゲット

  • スキルskills/*/SKILL.md):検索優先、TDDガイドなどのワークフロースキル
  • ルールrules/common/*.md):testing.md、security.md、git-workflow.md などの強制的なルール
  • エージェント定義agents/*.md):エージェントが期待される場面で呼び出されるか(内部ワークフロー検証は未サポート)

起動条件

  • ユーザーが /skill-comply <path> を実行する
  • ユーザーが「このルールは本当に遵守されているか?」と尋ねる
  • 新しいルール/スキルを追加した後、エージェントの遵守を確認する
  • 品質メンテナンスの一環として定期的に実行する

使い方

# 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>

重要なコンセプト:プロンプト独立性

プロンプトが明示的にサポートしていない場合でも、スキル/ルールが遵守されるかどうかを測定する。

レポートの内容

レポートは自己完結型で、以下を含む:

  1. 期待される動作シーケンス(自動生成された仕様)
  2. シナリオプロンプト(各厳格度レベルで尋ねる内容)
  3. 各シナリオの遵守スコア
  4. LLM分類ラベル付きのツール呼び出しタイムライン

高度な内容(オプション)

フックに精通したユーザー向けに、レポートには遵守率が低いステップに対するフック強化の推奨事項も含まれる。これは参考情報——主要な価値は遵守性自体の可視化にある。

Source repo
affaan-m/ECC
Skill path
docs/ja-JP/skills/skill-comply/SKILL.md
Commit SHA
4e973d3eaf92
Repository license
MIT
Data collected