Verified:GitHub

skill-comply

Validate agent tool calls against defined skills and rules via generated scenarios.

Updated Mar 15, 2026

Search Tags:#compliance #workflow analysis #automated testing #agent monitoring #behavioral verification #tool call classification

Ready to run

npx skills add https://github.com/abhishekdutta18/blogspro --skill skill-comply-abhishekdutta18

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: skill-comply
Source: https://github.com/abhishekdutta18/blogspro/tree/main/.claude/skills/skill-comply
Command: npx skills add https://github.com/abhishekdutta18/blogspro --skill skill-comply-abhishekdutta18

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill enables automated measurement and visualization of whether coding agents follow specified rules, skills, and agent definitions during execution.

Core Features & Use Cases

Behavioral Pattern Verification: Auto-generates scenarios and checks if agent tool calls align with expected sequences.
Compliance Reporting: Produces comprehensive reports detailing adherence, failures, and compliance scores.
Use Case: Developers can ensure their AI agents strictly follow coding workflows and best practices by analyzing generated tool call timelines and behavioral sequences in natural language.

Quick Start

Use the skill-comply tool to evaluate whether an agent's behavior matches the specified compliance rules by providing a skill file and generating a detailed adherence report.

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 compliance with defined workflow rules?▼

Agent compliance is verified by automatically classifying tool calls and checking their temporal order against defined rules in a YAML skill file, generating a detailed adherence report.

What is behavioral pattern verification for AI coding agents?▼

Behavioral pattern verification auto-generates scenarios to check if an agent's tool call sequences align with expected workflows, ensuring AI agents follow specified coding rules during execution.

How do I automate testing of agent tool call sequences?▼

Automated testing of agent tool calls is done by parsing JSON and YAML definitions to classify tool calls, verify their temporal order, and produce a compliance score for the workflow.

Can I use YAML and JSON files to check agent workflow compliance?▼

Yes, YAML and JSON parsing is utilized to analyze agent behaviors against defined skills, extracting detailed timelines and rules to validate whether the workflow execution meets compliance.

What is the best way to generate compliance reports for AI agents?▼

Generating compliance reports is best handled by evaluating an agent's tool call timeline against a skill file, which produces comprehensive reports detailing adherence, failures, and compliance scores.

Does agent monitoring support natural language behavioral analysis?▼

Yes, agent monitoring supports natural language by analyzing generated tool call timelines and behavioral sequences to evaluate whether the agent strictly follows the specified coding workflows.