rules

🥇Gold

Project CodeGuard is a strong AI model-agnostic security framework that integrates secure coding practices into AI workflows. It provides essential security rules, coding agent translators, and compliance validators to enhance AI security in development processes.

383510Updated 1mo ago

Intermediate15 minutes to implementdevelopment

Saves ~180 min per use

Quick InstallView Source

claude install project-codeguard/rules

Works with:

GitHub CopilotVS Code

Overview

About This Skill

https://github.com/cosai-oasis/project-codeguard

How to Use

1. Identify the specific security rules and compliance standards relevant to your project. 2. Prepare the code snippets or modules you want to analyze. 3. Use the prompt template to integrate Project CodeGuard into your AI development workflow. 4. Review the compliance validation report and suggested improvements. 5. Implement the suggested improvements to enhance security and compliance.

Use Cases

Integrate automated security checks during AI code generation to prevent vulnerabilities.

Validate compliance of AI-generated code against established security rules.

Translate security rules for compatibility with various coding agents and environments.

Embed secure coding practices into AI development workflows for enhanced safety.

Setup & Installation

Quick Install

Terminal

claude install project-codeguard/rules

Alternative Install (Git Clone)

git clone https://github.com/project-codeguard/rules

Requirements

Claude Code or compatible AI agent
Works with: GitHub Copilot, VS Code

Quick Start Guide

Install the Skill

Copy the install command above and run it in your terminal.

Open Your AI Agent

Launch Claude Code, Cursor, or your preferred AI coding agent.

Try It Out

Use the prompt template or examples below to test the skill.

Customize

Adapt the skill to your specific use case and workflow.

Usage Examples

Prompt Template

Integrate Project CodeGuard into our AI development workflow for [PROJECT_NAME]. Ensure all code adheres to [SPECIFIC_SECURITY_RULES]. Provide a compliance validation report for the following code: [CODE_SNIPPET]. Suggest improvements to enhance security and compliance.

Example Output

Project CodeGuard Integration Report

Project Name: SecureAI_2023
Security Rules Applied: OWASP Top 10, CWE Top 25, NIST SP 800-53
Code Snippet Analyzed: User authentication module

Compliance Validation Report:
1. SQL Injection: Passed
2. Cross-Site Scripting (XSS): Passed
3. Insecure Direct Object References: Passed
4. Sensitive Data Exposure: Passed
5. Security Misconfiguration: Passed
6. Broken Authentication: Passed
7. Cross-Site Request Forgery (CSRF): Passed
8. Using Components with Known Vulnerabilities: Passed
9. Insufficient Logging & Monitoring: Passed
10. Broken Access Control: Passed

Suggested Improvements:
1. Implement rate limiting for authentication attempts to prevent brute force attacks.
2. Add multi-factor authentication (MFA) for enhanced security.
3. Regularly update dependencies to mitigate vulnerabilities.
4. Implement a Web Application Firewall (WAF) to filter malicious traffic.
5. Conduct regular security audits and penetration testing.

Conclusion: The code snippet adheres to the specified security rules and is compliant with industry standards. The suggested improvements will further enhance the security posture of the application.