skill-comply

Generate scenarios, execute coding agents, and report compliance rates.

1|Updated Apr 6, 2026
One-click install
npx skills add https://github.com/zero3041/PREP --skill skill-comply-zero3041
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: skill-comply
Source: https://github.com/zero3041/PREP/tree/main/.claude/skills/skills/skill-comply
Command: npx skills add https://github.com/zero3041/PREP --skill skill-comply-zero3041

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires pyyaml, pytest, subprocess, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill helps ensure that coding agents adhere to predefined skills, rules, and definitions, by automatically generating scenarios, executing them, and reporting compliance rates.

Core Features & Use Cases

  • Automated Scenario Generation: Automatically generates scenarios at three strictness levels (supportive, neutral, competing) based on .md files.
  • Agent Execution and Classification: Executes scenarios, captures tool call traces, and classifies them against expected steps using LLM.
  • Compliance Reporting: Generates detailed reports with compliance scores, tool call timelines, and recommendations for promoting steps to hooks.
  • Use Case: After adding new rules or skills, activate this Skill to verify agent compliance and ensure adherence to best practices.

Quick Start

Run the skill-comply command on the path to the rule or skill file you want to test.

Frequently Asked Questions about skill-comply

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I measure coding agent compliance with predefined rules?

Measuring coding agent compliance involves automatically generating scenarios from .md files, executing them, and reporting compliance rates against predefined rules. It classifies tool call traces using LLM to verify adherence.

How do I automate code review for AI coding agents?

Automating code review for AI agents involves capturing tool call traces during scenario execution and classifying them against expected steps. This generates detailed reports with compliance scores and recommendations for process improvement.

Does this compliance testing tool require Python and Claude Code?

Yes, measuring compliance requires Claude Code and Python libraries such as pyyaml, pytest, and subprocess for parsing and executing scenarios. These dependencies are essential for running the automated tests and generating reports.

What is the best way to verify if an agent follows new coding skills?

The best way to verify agent adherence to new coding skills is to run automated scenario generation at supportive, neutral, and competing strictness levels. This tests whether the agent correctly follows the newly defined rules.

Can I generate automated testing scenarios from markdown files?

Yes, you can generate automated testing scenarios directly from .md files. The tool parses markdown definitions and automatically creates scenarios at three strictness levels: supportive, neutral, and competing.

How do I report compliance scores for coding agent tool calls?

You report compliance scores by executing scenarios, capturing tool call timelines, and using an LLM to classify traces against expected steps. This generates detailed reports with recommendations for promoting steps to hooks.