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Reverse engineer anything with agents, from app behavior down to native binaries.
A security plugin with skills that help AI coding agents write secure code, guide migration of C and C++ code to memory-safe languages, and produce markdown security review reports for a repository.
Claude Code
> /plugin marketplace add cosai-oasis/project-codeguard> /plugin install codeguard-security@project-codeguard
Codex
$ npx skills add cosai-oasis/project-codeguard -a codex
Cursor
$ npx skills add cosai-oasis/project-codeguard -a cursor
Gemini CLI
$ npx skills add cosai-oasis/project-codeguard -a gemini-cli
GitHub Copilot
$ copilot plugin marketplace add cosai-oasis/project-codeguard$ copilot plugin install codeguard-security@project-codeguard
OpenCode
$ npx skills add cosai-oasis/project-codeguard -a opencode
Windsurf
$ npx skills add cosai-oasis/project-codeguard -a windsurf
This repository is for the work of the Coalition for Secure AI (CoSAI). CoSAI is an OASIS Open Project and an open ecosystem of AI and security experts from industry-leading organizations. We are dedicated to sharing best practices for secure AI deployment and collaborating on AI security research and tool development.
For more information on CoSAI, please visit the CoSAI website and the Open Project repository, which contains our governance information and project charter.
Project CodeGuard is an AI model-agnostic security coding agent skills framework and ruleset that embeds secure-by-default practices into AI coding workflows (generation and review). It ships core security skills and rules, translators for popular coding agents, and validators to test skills and rule compliance.
AI coding agents are transforming software engineering, but this speed can introduce security vulnerabilities. Is your AI coding agent implementation introducing security vulnerabilities?
Project CodeGuard solves this by embedding security best practices directly into AI coding agent workflows.
During and After Code Generation.
Project CodeGuard is designed to integrate seamlessly across the entire AI coding lifecycle.
Project CodeGuard skills and rules cover essential security domains:
Get started in minutes:
This repository also includes an MCP server that exposes all CodeGuard security rules as tools over streamable HTTP. Organizations can deploy it on their infrastructure and connect every developer's AI coding assistant to a single, centrally managed instance. See the CodeGuard MCP Server README for setup instructions.
sources/ directory)Reverse engineer anything with agents, from app behavior down to native binaries.
A skill pack for authorized reverse engineering, security research, and penetration testing that routes tasks to the right skill and sets up needed tools on demand. It covers API security assessment and Android APK analysis, among others.
Gives an AI agent the step-by-step workflow a senior security analyst follows, covering when to use each technique, what to check first, how to run it and how to verify the result. Covers incident response, forensics, threat intelligence, malware analysis, penetration testing and red teaming.
Agent skill + stdlib Python service to strip multi-vendor AI provenance marks from text and files, for privacy and hygiene on content you own. The skill is a thin client: it drives the machinery over HTTP, so the agent host needs no Python.
Install it with the command on its page. It includes codeguard, memory-safe-migration, security-review. Its skills do not fire on their own yet. Free and open source.
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