Requesting Code Review

The requesting-code-review skill enables AI agents to systematically solicit feedback on code changes from human developers or peer systems. It structures the review process by providing context, highlighting specific logic areas, and formatting output for clarity.

When to use it

• Before merging a pull request to ensure alignment with team standards.
• When refactoring legacy code to verify that new implementations maintain intended behavior.
• During security audits to prompt checks on authentication or data handling logic.
• When integrating third-party libraries to confirm compatibility and error handling.

Key capabilities

• Generates structured review requests including commit diffs and file paths.
• Highlights specific lines of code requiring attention based on complexity metrics.
• Formats feedback into actionable items categorized by severity (critical, warning, suggestion).
• Supports multiple programming languages and framework-specific conventions.

Example prompts

"Request a code review for the new user authentication module in auth-service.ts, focusing on SQL injection risks." "Ask the team to review the payment processing logic in checkout.js before deploying to production." "Submit a structured code review request for the updated API endpoints, emphasizing rate limiting implementation."

Tips & gotchas

Ensure the AI agent has access to the relevant repository branches and commit history to provide accurate context. Avoid requesting reviews for incomplete or experimental code without explicitly marking it as such to prevent confusion during evaluation.