code-review-skill

Review pull requests for code quality, security, and performance issues.

5|Updated Mar 11, 2026

Search Tags:#testing #code review #pull request #security audit #software quality #performance analysis

Ready to run

npx skills add https://github.com/SteveFeldman/agents-skills --skill code-review-skill-stevefeldman

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: code-review-skill
Source: https://github.com/SteveFeldman/agents-skills/tree/main/skills/code-review-skill
Command: npx skills add https://github.com/SteveFeldman/agents-skills --skill code-review-skill-stevefeldman

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill automates the process of conducting thorough, principle-driven code reviews for pull requests, ensuring higher code quality, security, and maintainability.

Core Features & Use Cases

Comprehensive Checklist: Covers design patterns, refactoring needs, syntax, reusability, naming, linting, and more.
Architecture & Security Focus: Evaluates against SOLID principles, coupling, cohesion, and common security vulnerabilities.
Performance Analysis: Identifies algorithmic complexity and potential bottlenecks.
Testing Assessment: Reviews test coverage, quality, and missing scenarios.
Use Case: Submit your pull request to the AI, and receive a detailed, structured review report with actionable feedback and severity ratings.

Quick Start

Use the code-review-skill to review the current pull request.

Frequently Asked Questions about code-review-skill

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

FAQPage Schema

How do I automate a security audit for a pull request?▼

Automate a pull request security audit by submitting the changeset for review; the system evaluates code against common vulnerabilities, architecture, and SOLID principles to identify critical to low severity security findings.

What does a principal engineer level code review cover?▼

A principal engineer level code review covers design principles, code quality, security vulnerabilities, performance bottlenecks, algorithmic complexity, and test coverage, providing a final verdict with actionable recommendations.

Can I evaluate test coverage and missing test scenarios in a code review?▼

Yes, you can evaluate test coverage by submitting the pull request for review; the system assesses existing test quality, identifies missing test scenarios, and flags findings by severity level.

How do I identify performance bottlenecks and algorithmic complexity in my code?▼

Identify performance bottlenecks by running a code review on the changeset; the system analyzes algorithmic complexity and flags potential performance issues with actionable, severity-rated recommendations.

Does the code review check for SOLID principles, coupling, and cohesion?▼

Yes, the code review checks for SOLID principles, coupling, and cohesion; it evaluates the changeset against architecture and design patterns to ensure maintainability and structured feedback.

What is the best way to get actionable feedback on a software quality changeset?▼

The best way to get actionable feedback is submitting the changeset for automated review; you receive a structured report categorizing findings by critical, high, medium, and low severity with specific recommendations.