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Project CodeGuard is an AI model-agnostic security framework and ruleset that embeds secure-by-default practices into AI coding workflows (generation and review). It ships core security rules, transla

Description

Project CodeGuard is an AI model-agnostic security framework and ruleset that embeds secure-by-default practices into AI coding workflows (generation and review). It ships core security rules, translators for popular coding agents, and validators to test rule compliance.

README

Project CodeGuard has been donated to the Coalition for Secure AI (CoSAI)!

This project is now maintained by the Coalition for Secure AI (CoSAI).

āž”ļø New Repository: github.com/cosai-oasis/project-codeguard

Please visit the new repository for the latest updates and how to contribute to the project.

Release History

VersionChangesUrgencyDate
v1.2.0## What's Changed * Update README to use 'skills and rules' terminology consistently by @santosomar in https://github.com/project-codeguard/rules/pull/94 * Fix docs formatting for mkdocs rendering by @thomas-bartlett in https://github.com/project-codeguard/rules/pull/95 * Add MCP (Model Context Protocol) security rule based on CoSAI MCP Security Paper: https://www.coalitionforsecureai.org/ve3-whitepaper-ensuring-the-security-governance-and-safety-of-ai-models/ by @santosomar in https://githubLow1/27/2026

Dependencies & License Audit

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