How are the review results organized?

Results are delivered in a structured Markdown format categorized by Critical (must fix), Suggestions (should consider), Nits (optional), and positive feedback on good patterns.

Does it provide actionable fixes for the issues it finds?

Yes, for Critical and Suggestion-level findings, the skill provides a detailed explanation of the issue and a suggested code fix.

What security vulnerabilities can this skill detect?

The skill scans for common risks including SQL injection, XSS, command injection, hardcoded credentials, and improper authentication or authorization patterns.

How does the performance review help with React development?

It specifically looks for unnecessary re-renders, memory leaks, and large bundle sizes to ensure frontend efficiency.

Automated Code Reviewer

Name: Automated Code Reviewer
Author: plurigrid

byplurigrid

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Security & Testing

Performs comprehensive pull request audits focusing on security, performance, code quality, and testing standards.

About

The Code Review skill transforms Claude into a senior-level technical auditor capable of performing deep analysis on pull requests. It systematically evaluates code across four critical pillars: identifying security vulnerabilities like injection attacks, pinpointing performance bottlenecks such as N+1 queries, enforcing high code quality via DRY and SOLID principles, and ensuring robust testing coverage. By providing structured feedback in a standardized format, it helps engineering teams catch critical bugs early, reduce reviewer fatigue, and maintain a consistent, high-quality codebase.

Key Features

Performance analysis for database queries, memory leaks, and React re-renders
Code quality enforcement targeting architectural patterns and naming conventions
2 GitHub stars
Comprehensive testing reviews to ensure coverage and prevent flaky patterns
Standardized output format with prioritized Critical, Suggestion, and Nit categories
Multi-layered security auditing for vulnerabilities and hardcoded secrets

Use Cases

Optimizing application performance by identifying inefficient async operations and queries
Automating the first pass of pull request reviews to catch common errors
Enforcing security best practices and input validation in mission-critical code

About

Key Features

Performance analysis for database queries, memory leaks, and React re-renders
Code quality enforcement targeting architectural patterns and naming conventions
2 GitHub stars
Comprehensive testing reviews to ensure coverage and prevent flaky patterns
Standardized output format with prioritized Critical, Suggestion, and Nit categories
Multi-layered security auditing for vulnerabilities and hardcoded secrets

Use Cases

Optimizing application performance by identifying inefficient async operations and queries
Automating the first pass of pull request reviews to catch common errors
Enforcing security best practices and input validation in mission-critical code