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affaan-m/ECC

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

75Collecting
See how to use itView GitHub source
npx skills add https://github.com/affaan-m/ECC --skill "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: Measures whether coding agents actually follow skills, rules, or agent definitions by: 1. Auto-generating expected behavioral sequences (specs) from any .md file 2. Auto-generating scenarios with decreasing prompt strictness (supportive → neutral → competing) 3. Running claude -…

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

Best fit

  • 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

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

  • Expected behavioral sequence (auto-generated spec)
  • Scenario prompts (what was asked at each strictness level)
  • Compliance scores per scenario

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

Usage

Review the “Usage” section in the pinned source before continuing.

SKILL.md · Usage
Review and apply the “Usage” source section.
02

Supported Targets

Skills (skills//SKILL.md): Workflow skills like search-first, TDD guides

SKILL.md · Supported Targets
Skills (skills//SKILL.md): Workflow skills like search-first, TDD guidesRules (rules/common/.md): Mandatory rules like testing.md, security.md, git-workflow.mdAgent definitions (agents/.md): Whether an agent gets invoked when expected (internal workflow verification not yet supported)
03

When to Activate

User runs /skill-comply

SKILL.md · When to Activate
User runs /skill-complyUser asks "is this rule actually being followed?"After adding new rules/skills, to verify agent compliance
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: “Usage”, “Supported Targets”, “When to Activate”, “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 “Usage” has been checked.

The source section “Supported Targets” has been checked.

The source section “When to Activate” 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

skill-comply

スキル、ルール、エージェント定義が実際に遵守されているかを可視化する——3種類のプロンプト厳格度レベルのシナリオを自動生成し、エージェントを実行し、動作シーケンスを分類し、完全なツール呼び出しタイムラインの遵守率をレポートする

A separate implementation from affaan-m/ECC; compare its source, maintenance signals, and permission requirements.

Open source detail

skill-comply

可视化技能、规则和代理定义是否被实际遵循——自动生成3种提示严格级别的场景，运行代理，分类行为序列，并报告完整工具调用时间线的合规率

A separate implementation from affaan-m/ECC; compare its source, maintenance signals, and permission requirements.

Open source detail

ab-testing

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

A separate implementation from coreyhaines31/marketingskills; compare its source, maintenance signals, and permission requirements.

Open source detail

FAQ

What does skill-comply do?

Measures whether coding agents actually follow skills, rules, or agent definitions by: 1. Auto-generating expected behavioral sequences (specs) from any .md file 2. Auto-generating scenarios with decreasing prompt strictness (supportive → neutral → competing) 3. Running claude -…

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 "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
75/100
Source repository last pushed

Quality breakdown

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

75/100
Documentation24/30
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

スキル、ルール、エージェント定義が実際に遵守されているかを可視化する——3種類のプロンプト厳格度レベルのシナリオを自動生成し、エージェントを実行し、動作シーケンスを分類し、完全なツール呼び出しタイムラインの遵守率をレポートする

skill-comply by affaan-m

可视化技能、规则和代理定义是否被实际遵循——自动生成3种提示严格级别的场景，运行代理，分类行为序列，并报告完整工具调用时间线的合规率

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-review by event4u-app

Use when the user says "review the design", "check the UI", or wants a comprehensive UI/UX review. Uses a 7-phase methodology covering interaction, responsiveness, accessibility, and more.

View original Skill.mdThis page is parsed directly from the repository SKILL.md without editorial rewriting. Collected: Jul 28, 2026 · about 2 min

skill-comply: Automated Compliance Measurement

Measures whether coding agents actually follow skills, rules, or agent definitions by:

  1. Auto-generating expected behavioral sequences (specs) from any .md file
  2. Auto-generating scenarios with decreasing prompt strictness (supportive → neutral → competing)
  3. Running claude -p and capturing tool call traces via stream-json
  4. Classifying tool calls against spec steps using LLM (not regex)
  5. Checking temporal ordering deterministically
  6. 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:

  1. Expected behavioral sequence (auto-generated spec)
  2. Scenario prompts (what was asked at each strictness level)
  3. Compliance scores per scenario
  4. 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.

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