warden-policy

Name: warden-policy
Availability: InStock
Author: HawkannG

Define AI governance policies with enforcement hierarchy and feedback loops.

2|Updated Feb 10, 2026

Search Tags:#compliance #constitution #governance #framework #policy #ai security

Ready to run

npx skills add https://github.com/HawkannG/Claude-Warden --skill warden-policy

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: warden-policy
Source: https://github.com/HawkannG/Claude-Warden/tree/main/skills/warden-policy
Command: npx skills add https://github.com/HawkannG/Claude-Warden --skill warden-policy

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill establishes a robust AI governance framework to prevent AI-driven project drift, enforce structural integrity, and maintain human control over critical governance files.

Core Features & Use Cases

AI Governance Framework: Enforces project structure, prevents unauthorized edits, and maintains human oversight.
Multi-Layered Protection: Utilizes native permissions, pre-tooling hooks, and auto-loaded markdown rules for comprehensive security.
Use Case: Ensure that an AI coding assistant strictly adheres to the defined project architecture and never modifies core policy files, even across long sessions or context resets.

Quick Start

Review the warden-policy skill to understand the AI governance constitution for the project.

Frequently Asked Questions about warden-policy

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

FAQPage Schema

How do I prevent an AI coding assistant from modifying core project files?▼

AI governance prevents unauthorized edits by utilizing a multi-layered protection framework combining native permissions, pre-tooling hooks, and auto-loaded markdown rules to maintain human oversight over critical files.

What is an AI governance framework for project management?▼

An AI governance framework establishes policy areas, directive rules, and an enforcement hierarchy to prevent AI-driven project drift and maintain human control over critical project files.

How does multi-layered protection enforce AI security policies?▼

Multi-layered protection enforces AI security policies via native permissions, pre-tooling hooks, and auto-loaded markdown rules, executing native, soft, active, and hard governance mechanisms to restrict root directory access.

How do I enforce project structure rules during context resets?▼

Enforce project structure rules during context resets by applying auto-loaded markdown rules and native permissions that strictly maintain defined architecture and prevent unauthorized edits across long sessions.

What are the limitations of soft governance in AI compliance?▼

Soft governance limitations involve relying on auto-loaded markdown rules for guidance, which may fail to prevent unauthorized edits unless escalated through active and hard governance mechanisms.