ai-governance

Validate AI governance integrity, compliance, ownership, and operational readiness with CLI tools.

54|3|Updated Feb 4, 2026
One-click install
npx skills add https://github.com/arcasilesgroup/ai-engineering --skill ai-governance-arcasilesgroup
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ai-governance
Source: https://github.com/arcasilesgroup/ai-engineering/tree/main/.claude/skills/ai-governance
Command: npx skills add https://github.com/arcasilesgroup/ai-engineering --skill ai-governance-arcasilesgroup

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill provides a comprehensive framework for validating the integrity, compliance, ownership, and operational readiness of AI systems and their associated governance structures.

Core Features & Use Cases

  • Unified Validation: Consolidates checks for manifest integrity, contract compliance, ownership boundaries, and operational setup.
  • Deterministic Checks: Leverages CLI tools for repeatable and verifiable assessments.
  • LLM-powered Analysis: Interprets CLI results to identify root causes, systemic patterns, and prioritize remediation.
  • Use Case: Before deploying a new AI agent, run the ai-governance skill to ensure all its references are valid, it adheres to the framework's contract, its ownership is correctly defined, and all necessary tools are installed and configured.

Quick Start

Run the ai-governance skill to perform a full integrity and compliance check on the current project.

Frequently Asked Questions about ai-governance

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

FAQPage Schema
How do I validate AI agent compliance and operational readiness before deployment?

Validate AI agent compliance by scanning manifest files, agent-skill references, and hook enforcement using deterministic CLI tools. This checks operational readiness, file ownership zones, and tool installations to ensure all non-negotiable standards are met before deployment.

What is AI governance validation and when do I need to run it?

AI governance validation is the process of verifying AI system integrity, compliance, ownership, and operational readiness. You need to run it before deploying new AI agents to ensure all references are valid and the framework's contract is correctly adhered to.

How do I check file ownership zones and manifest integrity in my AI project?

Check file ownership zones and manifest integrity by running a full validation skill that scans your project structure. It leverages CLI tools for repeatable assessments and uses LLM interpretation to identify systemic ownership pattern issues.

Can I use deterministic checks alongside LLM analysis for AI compliance scanning?

Yes, you can use deterministic CLI checks alongside LLM analysis for AI compliance scanning. The CLI tools provide repeatable verifiable assessments, while the LLM interprets results to identify root causes and prioritize remediation for robust workflows.

What's the best way to ensure AI integrity and enforce non-negotiable standards?

The best way to ensure AI integrity is through a unified validation framework that consolidates checks for manifest integrity, contract compliance, and ownership boundaries. It enforces non-negotiable standards using deterministic CLI tools and LLM-powered pattern analysis.

Why does my AI governance validation fail when checking hook enforcement and tool installations?

AI governance validation fails on hook enforcement and tool installations when required configurations are missing or invalid. The LLM interprets the deterministic CLI scan results to identify the root cause and prioritize remediation for the missing operational setup.