code-reviewer

Automate code review for quality, security, and best-practice adherence.

Updated Dec 19, 2025
One-click install
npx skills add https://github.com/u9401066/copilot-capability-manager --skill code-reviewer-u9401066
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: code-reviewer
Source: https://github.com/u9401066/copilot-capability-manager/tree/main/.claude/skills/code-reviewer
Command: npx skills add https://github.com/u9401066/copilot-capability-manager --skill code-reviewer-u9401066

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill eliminates the time-consuming manual process of code review by automatically analyzing code for quality issues, security vulnerabilities, and best practice violations.

Core Features & Use Cases

  • Comprehensive Analysis: Checks naming conventions, DRY principle, complexity, and security risks.
  • Use Case: Before any git commit or pull request, run this Skill to catch potential bugs, security flaws, and maintainability issues before they reach production.

Quick Start

Review the code in the current file for quality issues and security vulnerabilities.

Frequently Asked Questions about code-reviewer

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

FAQPage Schema
How can I automatically catch code quality issues before committing?▼

Automated code review scans your code for quality issues, security vulnerabilities, naming violations, DRY compliance, and complexity problems before commits or pull requests. Run it pre-commit to catch bugs and maintainability issues before they reach production.

What security vulnerabilities does automated code review detect?▼

Code review detects SQL injection, XSS risks, memory leaks, and other security vulnerabilities alongside quality issues. It evaluates code across languages and provides severity ratings with remediation recommendations.

Can I use code review checks across multiple programming languages?▼

Yes, code review works across languages, evaluating naming clarity, cyclomatic complexity, DRY principle adherence, and security risks consistently. It applies structured evaluation criteria regardless of the file type.

How does code review assess test coverage and best practices?▼

Code review analyzes test coverage levels and checks adherence to best practices including naming conventions, complexity thresholds, and architectural principles. It produces actionable findings with traceable evidence for each issue.

What output does code review provide for pull request review?▼

Code review generates structured, reportable findings that include severity levels, remediation recommendations, and evidence traces. Results are actionable and ready for pull request comments or compliance audits.