Code Review
Automates Python backend code reviews, identifying potential bugs, style issues, and suggesting improvements using Llama 2 expertise.
Install on your platform
We auto-selected Claude Code based on this skill’s supported platforms.
Run in terminal (recommended)
claude mcp add llama-farm-code-review npx -- -y @trustedskills/llama-farm-code-review
Or manually add to ~/.claude/settings.json
{
"mcpServers": {
"llama-farm-code-review": {
"command": "npx",
"args": [
"-y",
"@trustedskills/llama-farm-code-review"
]
}
}
}Requires Claude Code (claude CLI). Run claude --version to verify your install.
About This Skill
What it does
The llama-farm-code-review skill enables AI agents to analyze and provide feedback on backend code. It identifies potential bugs, performance issues, and style inconsistencies, helping developers improve the quality of their codebase.
When to use it
- Before merging a pull request to ensure code meets quality standards
- During code refactoring to identify areas for optimization
- After identifying a bug in production to trace possible causes in the code
- To enforce consistent coding practices across a team
Key capabilities
- Static code analysis for common issues
- Detection of potential performance bottlenecks
- Identification of style and formatting inconsistencies
- Suggestions for improving readability and maintainability
Example prompts
- "Review this Python function for possible bugs and suggest improvements."
- "Analyze the JavaScript backend module for security vulnerabilities."
- "Check this Go code for adherence to best practices and performance issues."
Tips & gotchas
- Ensure that the code being reviewed is well-formatted and includes relevant context.
- While the skill provides helpful insights, it should not replace manual testing or peer reviews.
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 Hub | Pass |
| Socket | Pass |
| Snyk | Pass |
🌐 Community
Passed automated security scans.