code-review-skill

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

5|Updated Mar 11, 2026
One-click install
npx skills add https://github.com/SteveFeldman/agents-skills --skill code-review-skill-stevefeldman
Or copy as Structured Prompt for Agent
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.