code-review

Reviews code for security vulnerabilities, performance issues, error handling, and test coverage.

Updated Aug 6, 2026
One-click install
npx skills add https://github.com/ferrarifankid04/ai-skills-public --skill code-review-ferrarifankid04
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: code-review
Source: https://github.com/ferrarifankid04/ai-skills-public/tree/main/claude-code/skills/code-review
Command: npx skills add https://github.com/ferrarifankid04/ai-skills-public --skill code-review-ferrarifankid04

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve? Code reviews are often inconsistent, with reviewers missing security flaws, performance bottlenecks, or untested edge cases. This Skill provides a structured checklist so every review systematically covers the areas that matter most. ## Core Features & Use Cases - Security-First Review: Checks code against the OWASP Top 10 vulnerability categories. - Performance Analysis: Identifies N+1 queries, memory leaks, and other performance anti-patterns. - Quality Verification: Assesses error handling, edge cases, null checks, test coverage, naming, and documentation. - Use Case: Before merging a pull request, ask the AI to review the diff and receive findings organized across security, performance, error handling, and test coverage dimensions. ## Quick Start Review the changes in this pull request for security vulnerabilities, performance issues, and missing test coverage.

Frequently Asked Questions about code-review

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

FAQPage Schema
How do I review code for security vulnerabilities?

Check the code against the OWASP Top 10 categories, including injection flaws, broken authentication, and insecure data exposure. This Skill guides the AI through a systematic security-focused review of any code you provide.

What should a code review checklist include?

A thorough checklist covers security vulnerabilities, performance issues like N+1 queries and memory leaks, error handling for edge cases and null values, test coverage, and naming and documentation quality.

Can AI review code in any programming language?

Yes, this Skill's review criteria are language-agnostic. Security patterns, performance anti-patterns, error handling, and test coverage checks apply across languages, though language-specific idioms may need additional context.

What are the limitations of automated code review?

Automated review cannot fully judge business logic correctness, architectural fit, or runtime behavior. It works best as a first-pass check for common vulnerability and quality patterns, with human reviewers validating context-dependent decisions.