code-review

Name: code-review
Availability: InStock
Author: euda1mon1a

Review code changes for bugs, security issues, and best practices.

Updated Aug 27, 2026

Search Tags:#code quality #static analysis #code review #best practices #security audit #bug detection

Ready to run

npx skills add https://github.com/Euda1mon1a/Autonomous-Assignment-Program-Manager --skill code-review-euda1mon1a

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: code-review
Source: https://github.com/Euda1mon1a/Autonomous-Assignment-Program-Manager/tree/main/.claude/skills/code-review
Command: npx skills add https://github.com/Euda1mon1a/Autonomous-Assignment-Program-Manager --skill code-review-euda1mon1a

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill automates the rigorous review of generated code, identifying bugs, security vulnerabilities, performance bottlenecks, and deviations from best practices, ensuring higher quality and more secure software.

Core Features & Use Cases

Comprehensive Code Auditing: Analyzes code for quality, security, performance, maintainability, and standards compliance.
Automated Issue Detection: Identifies common anti-patterns, security risks (like SQL injection), and performance issues (like N+1 queries).
Use Case: After an AI generates a new API endpoint, use this Skill to perform a thorough review before merging, catching potential security flaws and ensuring it adheres to project standards.

Quick Start

Review the code changes in the current Git commit for quality and security issues.

Frequently Asked Questions about code-review

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I review AI-generated code for security vulnerabilities and bugs?▼

Review AI-generated code for security vulnerabilities and bugs by applying static analysis tools and pattern matching to detect anti-patterns like SQL injection and performance bottlenecks. This automated code auditing identifies deviations from best practices before merging changes.

Can I use static analysis to detect N+1 query performance issues in my code?▼

Yes, static analysis can detect N+1 query performance issues by pattern matching against common anti-patterns. Code review identifies performance bottlenecks, security risks, and maintainability issues to ensure implementation quality and standards compliance.

How do I run a security audit on my current Git commit changes?▼

Run a security audit on Git commit changes by requiring git context for diff analysis and executing linters and type checkers. This validates code quality, detects bugs, and ensures adherence to project standards before merging.

Does automated code review work for checking API endpoint standards compliance?▼

Yes, automated code review works for checking API endpoint standards compliance by analyzing code for quality, security, performance, and maintainability. It catches potential security flaws and ensures generated endpoints adhere to project standards.

What are the limitations of static analysis for code quality detection?▼

Limitations of static analysis for code quality detection include requiring git context for diff analysis and relying on linters and type checkers for accurate bug detection. It cannot identify runtime issues outside static pattern matching capabilities.

What is the best way to validate code changes before commit?▼

The best way to validate code changes before commit is applying static analysis and pattern matching to audit for bugs, security vulnerabilities, and performance issues. This ensures implementation quality and adherence to best practices.