Reviews pull request diffs to provide structured, actionable feedback on code quality, security, and performance.
This Claude Code Skill automates the peer review process by analyzing pull request diffs against industry best practices and your specific project context. It evaluates code for correctness, performance, and security vulnerabilities while providing a structured output that includes severity labels—ranging from Blockers to Nits. By offering inline suggestions with code patches and a comprehensive checklist for testing and documentation, it helps engineering teams maintain high standards and accelerate the shipping process without sacrificing quality.
Key Features
01Security and compliance auditing for authentication, validation, and data privacy
02Performance analysis focusing on hot paths and database query optimization
030 GitHub stars
04Categorized feedback by severity including Blockers, Major, Minor, and Nits
05Detection of testing gaps with concrete unit and integration test suggestions
06Project-grounded feedback based on specific frameworks, languages, and patterns
Use Cases
01Ensuring consistent security and performance standards across distributed engineering teams
02Identifying missing documentation and test cases in complex feature pull requests
03Automating the initial pass of peer reviews to catch common errors before human intervention
