ai-development-governance

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23|8|Updated Feb 16, 2026

Search Tags:#code review #security #ai #llm #governance #copilot

Ready to run

npx skills add https://github.com/Hack23/European-Parliament-MCP-Server --skill ai-development-governance

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: ai-development-governance
Source: https://github.com/Hack23/European-Parliament-MCP-Server/tree/main/.github/skills/ai-development-governance
Command: npx skills add https://github.com/Hack23/European-Parliament-MCP-Server --skill ai-development-governance

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill provides a framework for securely and responsibly integrating AI tools like GitHub Copilot into the development lifecycle, ensuring compliance with security policies and best practices.

Core Features & Use Cases

AI Code Review: Enforces human review and understanding of all AI-generated code.
Security Guardrails: Prevents sensitive data exposure in prompts and ensures AI code meets security standards.
Use Case: When using GitHub Copilot to generate code for a new feature, this skill ensures that the generated code is thoroughly reviewed, tested, and adheres to the company's secure development policies before merging.

Quick Start

Apply the ai-development-governance skill to ensure all AI-generated code is reviewed and secure.

Frequently Asked Questions about ai-development-governance

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

FAQPage Schema

How do I enforce human review for AI-generated code from GitHub Copilot?▼

To enforce human review for AI-generated code, apply governance controls that mandate developers understand, test, and validate all Copilot suggestions before merging. This ensures AI-assisted development adheres to secure development policies.

What are the security guardrails for LLM prompts in AI-assisted development?▼

Security guardrails for LLM prompts prevent sensitive data exposure by validating inputs against secure development policies. This framework ensures AI code generation meets strict security standards and avoids leaking confidential information.

How do I validate GitHub Copilot code against secure development policies?▼

You validate GitHub Copilot code by applying governance controls that require rigorous testing and security validation. This ensures AI-generated code is thoroughly reviewed and complies with responsible AI-assisted development standards.

Can I use AI development governance controls for any LLM or only GitHub Copilot?▼

AI development governance controls target GitHub Copilot specifically but apply general LLM security principles. The framework enforces mandatory human review and security validation for AI-generated code across your development lifecycle.

Why do I need governance controls for AI-assisted development?▼

You need governance controls for AI-assisted development to securely integrate LLM tools into your workflow. This framework prevents security vulnerabilities, enforces human review, and ensures AI-generated code meets compliance standards.

What is the best way to secure AI-generated code in the development lifecycle?▼

The best way to secure AI-generated code is implementing governance controls that enforce mandatory human review, rigorous testing, and security validation. This ensures responsible AI-assisted development and compliance with secure policies.