SkillHub ClubRun DevOpsFull StackSecurity

code-review

Comprehensive code review with security, performance, and quality analysis. Use when users ask to review code, analyze code quality, evaluate pull requests, or mention code review, security analysis, or performance optimization.

Packaged view

This page reorganizes the original catalog entry around fit, installability, and workflow context first. The original raw source lives below.

Stars

Hot score

Updated

March 20, 2026

Overall rating

C3.7

Composite score

3.7

Best-practice grade

A92.0

Install command

npx @skill-hub/cli install everyone-needs-a-copilot-claude-copilot-code-review

Repository

Everyone-Needs-A-Copilot/claude-copilot

Skill path: docs/claude-howto-reference/03-skills/code-review

Open repository

Best for

Primary workflow: Run DevOps.

Technical facets: Full Stack, Security.

Target audience: everyone.

License: Unknown.

Original source

Catalog source: SkillHub Club.

Repository owner: Everyone-Needs-A-Copilot.

This is still a mirrored public skill entry. Review the repository before installing into production workflows.

What it helps with

Install code-review into Claude Code, Codex CLI, Gemini CLI, or OpenCode workflows
Review https://github.com/Everyone-Needs-A-Copilot/claude-copilot before adding code-review to shared team environments
Use code-review for development workflows

Works across

Claude CodeCodex CLIGemini CLIOpenCode

Favorites: 0.

Sub-skills: 0.

Aggregator: No.

Original source / Raw SKILL.md

---
name: code-review-specialist
description: Comprehensive code review with security, performance, and quality analysis. Use when users ask to review code, analyze code quality, evaluate pull requests, or mention code review, security analysis, or performance optimization.
---

# Code Review Skill

This skill provides comprehensive code review capabilities focusing on:

1. **Security Analysis**
   - Authentication/authorization issues
   - Data exposure risks
   - Injection vulnerabilities
   - Cryptographic weaknesses
   - Sensitive data logging

2. **Performance Review**
   - Algorithm efficiency (Big O analysis)
   - Memory optimization
   - Database query optimization
   - Caching opportunities
   - Concurrency issues

3. **Code Quality**
   - SOLID principles
   - Design patterns
   - Naming conventions
   - Documentation
   - Test coverage

4. **Maintainability**
   - Code readability
   - Function size (should be < 50 lines)
   - Cyclomatic complexity
   - Dependency management
   - Type safety

## Review Template

For each piece of code reviewed, provide:

### Summary
- Overall quality assessment (1-5)
- Key findings count
- Recommended priority areas

### Critical Issues (if any)
- **Issue**: Clear description
- **Location**: File and line number
- **Impact**: Why this matters
- **Severity**: Critical/High/Medium
- **Fix**: Code example

### Findings by Category

#### Security (if issues found)
List security vulnerabilities with examples

#### Performance (if issues found)
List performance problems with complexity analysis

#### Quality (if issues found)
List code quality issues with refactoring suggestions

#### Maintainability (if issues found)
List maintainability problems with improvements

## Version History

- v1.0.0 (2024-12-10): Initial release with security, performance, quality, and maintainability analysis