Skill

code-review-specialist

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.

npx claudepluginhub eeplover/claude-plugins-loong

Tool Access

This skill uses the workspace's default tool permissions.

Preview

This skill provides comprehensive code review capabilities focusing on:

Supporting Assets

scripts/analyze-metrics.pyscripts/compare-complexity.pytemplates/finding-template.mdtemplates/review-checklist.md

SKILL.md

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Last CommitMay 7, 2026

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Code Review Skill

This skill provides comprehensive code review capabilities focusing on:

Security Analysis
- Authentication/authorization issues
- Data exposure risks
- Injection vulnerabilities
- Cryptographic weaknesses
- Sensitive data logging
Performance Review
- Algorithm efficiency (Big O analysis)
- Memory optimization
- Database query optimization
- Caching opportunities
- Concurrency issues
Code Quality
- SOLID principles
- Design patterns
- Naming conventions
- Documentation
- Test coverage
Maintainability
- Code readability
- Function size (should be < 50 lines)
- Cyclomatic complexity
- Dependency management
- Type safety

Reference Files

This skill includes supporting files that you should read when performing reviews:

templates/review-checklist.md — Structured checklist covering security, performance, quality, and testing. Read this file and use it as a guide to ensure no category is missed during review.
templates/finding-template.md — Standard template for documenting individual findings with severity, location, code examples, and impact analysis. Read this file and use its format when reporting issues.
scripts/analyze-metrics.py — Python script that calculates code metrics (function count, class count, average line length, complexity score). Run this on the file under review to gather quantitative data.
scripts/compare-complexity.py — Python script that compares cyclomatic and cognitive complexity between two versions of a file. Run this with the before and after versions when reviewing refactoring changes.

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