codeguard-security
By cosai-oasis
Perform automated security code reviews on repositories using Project CodeGuard rules and OWASP guidelines for your tech stack, generating detailed markdown reports with prioritized vulnerabilities, impacts, and remediations. Enforce security rules to prevent vulnerabilities when writing, reviewing, or modifying code in Go, C, Docker, HTML, and similar.
npx claudepluginhub cosai-oasis/project-codeguard --plugin codeguard-securityComponent Overview
Component Details
Skills (3)
Comprehensive security code review workflow for a target repository, producing a markdown report with findings and recommendations.
A software security skill that integrates with Project CodeGuard to help AI coding agents write secure code and prevent common vulnerabilities. Use this skill when writing, reviewing, or modifying code to ensure secure-by-default practices are followed.
Guide secure migration of code from memory-unsafe languages (C, C++, Assembly) to memory-safe languages (Rust, Go, Java, C#, Swift). Use when migrating or rewriting legacy C/C++ code, designing FFI boundaries between safe and unsafe code, writing new modules in existing C/C++ codebases, reviewing mixed-language projects, planning memory safety roadmaps, or when an AI agent is about to generate new C/C++ code that could be written in a memory-safe language instead. Also triggers on CISA/NSA memory safety compliance discussions.
README
Project CodeGuard: Security Skills and Rules for AI Coding Agents
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.
What is Project CodeGuard?
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.
Why Project CodeGuard?
AI coding agents are transforming software engineering, but this speed can introduce security vulnerabilities. Is your AI coding agent implementation introducing security vulnerabilities?
- Skipping input validation
- Hardcoding secrets and credentials
- Using weak cryptographic algorithms
- Relying on unsafe functions
- Missing authentication/authorization checks
- Missing any other security best practice
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.
- Before code generation, skills and rules can be used for the design of a product and for spec-driven development. You can use the skills and rules in the “planning phase” of an AI coding agent to steer models toward secure patterns from the start.
- During code generation, skills and rules can help AI agents to prevent security issues as code is being written.
- After code generation, AI agents like Cursor, GitHub Copilot, Codex, Windsurf, and Claude Code can use the rules for code review.
Security Coverage
Project CodeGuard skills and rules cover essential security domains:
- Cryptography: Safe algorithms (including post-quantum cryptography), secure key management, certificate validation
- Input Validation: SQL injection prevention, XSS protection, command injection defense
- Authentication: MFA best practices, OAuth/OIDC, secure session management
- Authorization: RBAC/ABAC, access control, IDOR prevention
- Supply Chain: Dependency security, SBOM generation, vulnerability management
- Cloud Security: IaC hardening, container security, Kubernetes best practices
- Platform Security: Mobile apps, web services, API security
- Data Protection: Privacy, encryption at rest/transit, secure storage
Quick Start
Get started in minutes:
- Download the skills and rules from our releases page
- Copy to your project - Place AI agent and IDE specific skills and rules in your repository
- Start coding - AI assistants will automatically follow security best practices
- Additional details in the Get Started →
CodeGuard MCP Server
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.
How It Works
- Security skills and rules are written in unified markdown format (
sources/directory) - Conversion tools translate skills and rules into formats for popular coding agents
- Release automation packages skills and rules into downloadable ZIP files
- AI assistants reference these skills and rules when generating or reviewing code
- Secure code is produced automatically without developer intervention
Similar Plugins
codeguard-security
Security code review skill based on Project CodeGuard's comprehensive security rules. Helps AI coding agents write secure code and prevent common vulnerabilities.
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