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affaan-m/ECC

skill-comply

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

70Collecting
See how to use itView GitHub source
npx skills add https://github.com/affaan-m/ECC --skill "docs/zh-CN/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: 通过以下方式测量编码代理是否实际遵循技能、规则或代理定义：

npx skills add https://github.com/affaan-m/ECC --skill "docs/zh-CN/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

支持的目标

技能（skills//SKILL.md）：工作流技能，如搜索优先、TDD 指南 规则（rules/common/.md）：强制性规则，如 testing.md、security.md、git-workflow.md 代理定义（agents/.md）：代理是否在预期时被调用（内部工作流验证尚不支持）

SKILL.md · 支持的目标
技能（skills//SKILL.md）：工作流技能，如搜索优先、TDD 指南规则（rules/common/.md）：强制性规则，如 testing.md、security.md、git-workflow.md代理定义（agents/.md）：代理是否在预期时被调用（内部工作流验证尚不支持）
02

何时激活

用户运行 /skill-comply 用户询问"这条规则是否真的被遵循？" 添加新规则/技能后，验证代理合规性 作为质量维护的一部分定期执行

SKILL.md · 何时激活
用户运行 /skill-comply用户询问"这条规则是否真的被遵循？"添加新规则/技能后，验证代理合规性
03

使用方法

Review the “使用方法” section in the pinned source before continuing.

SKILL.md · 使用方法
Review and apply the “使用方法” 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: “支持的目标”, “何时激活”, “使用方法”, “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 “支持的目标” has been checked.

The source section “何时激活” has been checked.

The source section “使用方法” 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

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

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

Open source detail

skill-comply

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

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?

通过以下方式测量编码代理是否实际遵循技能、规则或代理定义：

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/zh-CN/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
70/100
Source repository last pushed

Quality breakdown

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

70/100
Documentation19/30
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：自动化合规性测量

通过以下方式测量编码代理是否实际遵循技能、规则或代理定义：

  1. 从任意 .md 文件自动生成预期行为序列（规范）
  2. 自动生成提示严格程度递减的场景（支持性 → 中性 → 竞争性）
  3. 运行 claude -p 并通过 stream-json 捕获工具调用轨迹
  4. 使用 LLM（而非正则表达式）将工具调用分类到规范步骤
  5. 确定性检查时间顺序
  6. 生成包含规范、提示和时间线的自包含报告

支持的目标

  • 技能（skills/*/SKILL.md）：工作流技能，如搜索优先、TDD 指南
  • 规则（rules/common/*.md）：强制性规则，如 testing.md、security.md、git-workflow.md
  • 代理定义（agents/*.md）：代理是否在预期时被调用（内部工作流验证尚不支持）

何时激活

  • 用户运行 /skill-comply <path>
  • 用户询问"这条规则是否真的被遵循？"
  • 添加新规则/技能后，验证代理合规性
  • 作为质量维护的一部分定期执行

使用方法

# 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>

关键概念：提示独立性

测量技能/规则是否在提示未明确支持时仍被遵循。

报告内容

报告是自包含的，包括：

  1. 预期行为序列（自动生成的规范）
  2. 场景提示（每个严格程度级别询问的内容）
  3. 每个场景的合规性评分
  4. 带有 LLM 分类标签的工具调用时间线

高级（可选）

对于熟悉钩子的用户，报告还包含针对合规性较低的步骤的钩子提升建议。此为参考信息——主要价值在于合规性本身的可见性。

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