How is the review feedback structured?

Feedback is organized into four sections: a brief Summary, Critical Issues that must be fixed, Improvements for better quality, and Positive Observations to reinforce good practices.

Can I use this for large codebases?

While highly effective, it is best used for specific files or functions. For very large codebases, it is recommended to review code in logical chunks or specific modules to ensure depth and accuracy.

What programming languages can this skill review?

The Code Reviewer skill is language-agnostic and works with all major languages including JavaScript, Python, TypeScript, Java, C++, Go, and more, adapting its checklist to specific language conventions.

Does it detect security vulnerabilities?

Yes, it specifically checks for input validation issues, SQL injection, XSS, hardcoded credentials, and insecure data exposure practices.

AI Code Reviewer

Name: AI Code Reviewer
Author: shawn-sandy

byshawn-sandy

安全与测试

Performs systematic code audits to identify security vulnerabilities, logic bugs, and maintainability issues with actionable feedback.

关于

The Code Reviewer skill enhances Claude with a rigorous, multi-dimensional framework for analyzing source code. It systematically evaluates scripts and modules for readability, performance bottlenecks, and critical security flaws like SQL injection or improper input validation. By providing structured feedback—including line-specific issues, suggested fixes, and positive observations—this skill streamlines the peer review process, helps developers maintain high coding standards, and catches edge-case bugs before they reach production.

主要功能

Logic and edge-case detection for loops, async operations, and null references
Line-by-line actionable refactoring suggestions and bug fixes
0 GitHub stars
Code quality assessment based on DRY and Single Responsibility principles
Structured review format with Critical, Improvement, and Positive sections
Comprehensive security vulnerability scanning for XSS, SQLi, and data exposure

使用场景

Conducting deep security audits on sensitive backend logic or API endpoints
Automating the first pass of a Pull Request to catch common errors
Improving code maintainability and readability for legacy refactoring projects

关于

主要功能

Logic and edge-case detection for loops, async operations, and null references
Line-by-line actionable refactoring suggestions and bug fixes
0 GitHub stars
Code quality assessment based on DRY and Single Responsibility principles
Structured review format with Critical, Improvement, and Positive sections
Comprehensive security vulnerability scanning for XSS, SQLi, and data exposure

使用场景

Conducting deep security audits on sensitive backend logic or API endpoints
Automating the first pass of a Pull Request to catch common errors
Improving code maintainability and readability for legacy refactoring projects