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skill-comply

Generate behavioral specifications and run stress tests to measure agent adherence.

1|Updated Apr 6, 2026
Search Tags:#workflow#testing#verification#compliance#agent#quality
One-click install
npx skills add https://github.com/vrcms/everything-qwen-code --skill skill-comply-vrcms
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: skill-comply
Source: https://github.com/vrcms/everything-qwen-code/tree/main/.qwen/skills/skill-comply
Command: npx skills add https://github.com/vrcms/everything-qwen-code --skill skill-comply-vrcms

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This skill solves the problem of verifying whether coding agents are actually adhering to defined rules, skills, and agent instructions during their execution.

Core Features & Use Cases

  • Behavioral Specification: Automatically generates expected behavioral sequences from documentation.
  • Compliance Measurement: Runs scenarios at varying levels of prompt strictness to test agent reliability.
  • Reporting: Provides detailed compliance reports with tool call timelines and hook promotion recommendations.
  • Use Case: Use this to verify that your AI agent consistently follows your TDD workflow or security guidelines even when the user prompt is ambiguous or contradictory.

Quick Start

Run the skill-comply tool against a specific rule file to generate a compliance report for your current agent configuration.

Frequently Asked Questions about skill-comply

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

FAQPage Schema
How do I verify my AI agent follows defined workflows and rules during execution?▼

Agent compliance testing measures adherence to defined rules by running scenarios at varying prompt strictness levels. It automatically generates expected behavioral sequences from documentation and classifies actual tool call traces against them to evaluate reliability.

What is the best way to test if an AI coding agent maintains TDD workflows with ambiguous prompts?▼

The best way to test TDD workflow adherence under ambiguous conditions is to run compliance measurement scenarios at varying levels of prompt strictness. This stress testing evaluates whether the agent consistently follows security guidelines or TDD rules even with contradictory inputs.

Do I need Python 3.11 and claude CLI access to measure agent compliance?▼

Yes, measuring agent compliance requires Python 3.11 or higher, the pyyaml dependency, and access to the claude CLI for execution and trace capture. These components are necessary to run the stress tests and generate behavioral specifications.

How does behavioral specification generation work for AI agent quality assurance?▼

Behavioral specification generation works by automatically creating expected behavioral sequences from your existing documentation. These specifications act as the baseline to classify tool call traces during stress testing and measure overall agent adherence.

Can I get detailed reports on AI agent tool call timelines and hook promotions?▼

Yes, compliance reporting provides detailed timelines of tool calls and recommendations for hook promotions. These reports classify tool call traces against expected sequences to help you maintain quality assurance for your AI coding agents.

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