code-review-and-quality

Review code changes across correctness, readability, architecture, security, and performance.

Updated Aug 27, 2026
One-click install
npx skills add https://github.com/RefractSystems/virtmcu --skill code-review-and-quality-refractsystems
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: code-review-and-quality
Source: https://github.com/RefractSystems/virtmcu/tree/main/.gemini/skills/code-review-and-quality
Command: npx skills add https://github.com/RefractSystems/virtmcu --skill code-review-and-quality-refractsystems

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Standardizes and enforces thorough reviews so code changes do not introduce correctness, readability, architectural, security, or performance regressions before merging. It prevents unreviewed or poorly reviewed changes from degrading code health and ensures verification is documented.

Core Features & Use Cases

  • Five-axis review covering correctness, readability & simplicity, architecture, security, and performance to give a holistic assessment of each change.
  • Checklist-driven workflow with severity-labeled findings (Critical, Required, Optional/Nit) and explicit verification steps to close the loop on fixes.
  • Change sizing and splitting guidance to keep reviews fast and focused, plus a multi-model review pattern for AI-assisted development.
  • Use Case: Run this Skill on any pull request, refactor, bug fix, or AI-generated patch to produce prioritized review findings, remediation suggestions, and a verification story that documents tests and manual checks.

Quick Start

Run a five-axis review of the changes in PR #123 and return severity-labeled findings, a recommended verdict, and a verification checklist.

Frequently Asked Questions about code-review-and-quality

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

FAQPage Schema
How do I conduct a code review for a pull request?

To conduct a pull request code review, run a five-axis assessment covering correctness, readability, architecture, security, and performance to produce severity-labeled findings and a verification checklist.

How do I perform a security review on AI-generated code changes?

Perform a security review on AI-generated changes by running a multi-axis code assessment that checks for correctness, architecture, and security regressions, yielding prioritized remediation recommendations before merging.

What is a five-axis code review and when do I need it?

A five-axis code review evaluates proposed changes for correctness, readability, architecture, security, and performance. You need it before merging pull requests, refactors, or bug fixes to prevent code health regressions.

How do I enforce code quality gates before merging a refactor?

Enforce code quality gates by applying a checklist-driven review workflow that generates severity-labeled findings (Critical, Required, Optional) and explicit verification steps to close the loop on fixes.

Does this code review approach work for large pull requests?

Yes, this code review approach includes change sizing and splitting guidance to keep reviews of large pull requests fast and focused, ensuring thorough verification of complex merges.

Can I use automated code review for both human-authored and AI patches?

Yes, you can use this multi-model review pattern for AI-assisted development to review both human-authored and AI-generated patches, producing a verification story that documents tests and manual checks.