code-review-and-quality

Perform multi-axis code reviews covering correctness, readability, architecture, security, and performance before merging.

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

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Unstructured or incomplete code reviews often miss critical issues across correctness, readability, architecture, security, and performance, leading to technical debt, production incidents, and degraded codebase health when low-quality code is merged into the main branch.

Core Features & Use Cases

  • 5-Axis Review Framework: Systematically evaluate all code changes against correctness, readability, architecture, security, and performance criteria.
  • Structured Review Process: Includes context understanding, test-first review, finding severity labeling, and verification of the review process itself.
  • PR Management Guidance: Provides rules for change sizing, splitting large PRs, and separating refactor work from feature work to streamline review cycles.
  • Use Case: Use this skill before merging any code change, whether it is your own work, output from another AI agent, or a human teammate's contribution, to catch edge cases, security flaws, and architectural drift before they reach production.

Quick Start

Use the code-review-and-quality skill to evaluate the attached pull request for correctness, security, and adherence to project standards before merging.

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 perform a multi-axis code review to catch security and performance issues before merging?

Multi-axis code review evaluates code changes against correctness, readability, architecture, security, and performance criteria to identify defects before merging into the main branch.

What is the best way to structure pull request reviews to reduce technical debt?

Structured pull request reviews use change size limits, finding severity labeling, and dead code hygiene checks to reduce technical debt and prevent production incidents.

How do I review AI agent-generated code for correctness and architectural drift?

Review AI agent-generated code by applying a structured review workflow that evaluates correctness, architecture, and security to catch edge cases before output reaches production.

Can I split large pull requests to streamline code review cycles?

Yes, pull request management includes rules for change sizing, splitting large pull requests, and separating refactor work from feature work to streamline code review cycles.

Why does unstructured code review miss critical security flaws and architectural drift?

Unstructured code reviews miss critical issues because they lack a systematic 5-axis framework to evaluate security, performance, and architecture before low-quality code reaches production.

When do I need severity labeling and dead code hygiene checks in a code review?

Severity labeling and dead code hygiene checks are needed during every code review to enforce review guardrails, categorize findings, and maintain codebase health before merge.