skill-comply

Compare expected behavioral sequences to observed tool-call traces for compliance.

Updated Jun 24, 2026
One-click install
npx skills add https://github.com/mostafa-ismail-2004/codex-plugin --skill skill-comply-mostafa-ismail-2004
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: skill-comply
Source: https://github.com/mostafa-ismail-2004/codex-plugin/tree/main/skills/skill-comply
Command: npx skills add https://github.com/mostafa-ismail-2004/codex-plugin --skill skill-comply-mostafa-ismail-2004

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps you verify whether skills, rules, and agent definitions are actually being followed in real agent behavior instead of just existing as documentation.

Core Features & Use Cases

  • Compliance Measurement: Generates expected behavioral sequences from markdown specs and compares them to observed tool calls.
  • Scenario Stress Testing: Runs prompts at multiple strictness levels, from supportive to competing, to see whether behavior changes under pressure.
  • Trace-Based Reporting: Produces self-contained reports with specs, prompts, timelines, and compliance scores for review and maintenance.

Quick Start

Ask the skill to evaluate compliance for a specific skill, rule, or agent markdown file and generate a report from observed tool-call behavior.

Frequently Asked Questions about skill-comply

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

FAQPage Schema
How do I verify agent behavior matches markdown rules and definitions?

You verify agent behavior by comparing expected behavioral sequences from markdown specs against actual JSONL tool-call traces. This compliance measurement uses LLM-based classification and deterministic temporal ordering checks to determine if agents follow rules.

Can I test if agent instructions are independent of prompt strictness?

Yes, you can test prompt independence by running scenario stress tests at multiple strictness levels. This process applies supportive to competing prompts to measure whether agent behavior and tool-call traces change under pressure.

What is the best way to measure compliance from tool-call traces?

Measuring trace compliance involves generating expected behavioral sequences from markdown specifications and comparing them to observed tool calls. It applies LLM-based classification to evaluate whether actual agent behavior aligns with defined rules.

Does agent compliance testing work with markdown-based instruction files?

Yes, compliance testing works directly with markdown-based agent instructions. It generates expected behavioral sequences from markdown specs and compares them against observed tool calls to ensure workflow verification and quality maintenance.

How do I generate a compliance report for scenario testing?

You generate a compliance report by capturing JSONL tool-call traces during scenario testing and evaluating them against markdown specs. The resulting report includes specs, prompts, timelines, and compliance scores for maintenance review.