Securing Ai Generated Code

🌐Community
by chrbailey · vlatest · Repository

Automates code review & vulnerability scanning of AI-generated code to ensure security best practices are followed.

Install on your platform

We auto-selected Claude Code based on this skill’s supported platforms.

1

Run in terminal (recommended)

terminal
claude mcp add securing-ai-generated-code npx -- -y @trustedskills/securing-ai-generated-code
2

Or manually add to ~/.claude/settings.json

~/.claude/settings.json
{
  "mcpServers": {
    "securing-ai-generated-code": {
      "command": "npx",
      "args": [
        "-y",
        "@trustedskills/securing-ai-generated-code"
      ]
    }
  }
}

Requires Claude Code (claude CLI). Run claude --version to verify your install.

About This Skill

What it does

This skill helps AI agents identify and mitigate common security vulnerabilities in code generated by other AI models. It can analyze the code for potential issues like SQL injection, cross-site scripting (XSS), and insecure dependencies. The goal is to produce more robust and secure applications built with AI assistance.

When to use it

  • Automated Code Review: Integrate this skill into your CI/CD pipeline to automatically scan AI-generated code for vulnerabilities before deployment.
  • Security Training for Agents: Use the skill to teach an agent about common coding errors and how to avoid them during generation.
  • Rapid Prototyping Security: When quickly generating code prototypes, use this skill to identify potential security risks early in the development process.
  • Reducing Technical Debt: Retroactively analyze existing AI-generated codebases to find and fix vulnerabilities that might have been missed initially.

Key capabilities

  • Vulnerability scanning for SQL injection
  • Cross-site scripting (XSS) detection
  • Insecure dependency identification

Example prompts

  • "Analyze this Python script for potential security vulnerabilities: [code snippet]"
  • "Review the following JavaScript code and identify any XSS risks: [code snippet]"
  • "Can you check this generated SQL query for injection flaws? [query]"

Tips & gotchas

The skill's effectiveness depends on the quality of the AI-generated code; it may not catch all vulnerabilities. It is recommended to combine this skill with other security best practices and manual review processes.

Tags

🛡️

TrustedSkills Verification

Unlike other registries that point to live repositories, TrustedSkills pins every skill to a verified commit hash. This protects you from malicious updates — what you install today is exactly what was reviewed and verified.

Security Audits

Gen Agent Trust HubPass
SocketPass
SnykPass

Details

Version
vlatest
License
Author
chrbailey
Installs
2

🌐 Community

Passed automated security scans.