review-implementation

Audit code implementations and report findings across seven structured categories.

5|Updated Jul 25, 2025
One-click install
npx skills add https://github.com/tomzx/agents --skill review-implementation-tomzx
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: review-implementation
Source: https://github.com/tomzx/agents/tree/main/skills/review-implementation
Command: npx skills add https://github.com/tomzx/agents --skill review-implementation-tomzx

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Audits a code implementation and reports findings across seven categories: correctness, code quality, test coverage, security, performance, spec alignment, and reversibility.

Core Features & Use Cases

  • Structured Review: Systematically evaluate code against criteria like correctness, quality, tests, security, performance, and reversibility.
  • Prioritized Findings: Label findings with 🔴 MUST fix, 🟡 SHOULD fix, or 🟢 MAY fix to guide remediation.
  • Output Ready: Produce a structured report compatible with the required "Output Format" in the Slash commands ecosystem.

Quick Start

Run a full code review against the provided project and generate a structured findings document.

Frequently Asked Questions about review-implementation

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

FAQPage Schema
How do I audit code for correctness, security, and spec alignment?

A comprehensive code audit evaluates implementations across seven dimensions: correctness, code quality, test coverage, security, performance, spec alignment, and reversibility, prioritizing findings with MUST, SHOULD, or MAY fix labels to guide remediation.

What is the best way to structure a pull request code review report?

A structured pull request code review report should categorize findings into correctness, code quality, test coverage, security, performance, spec alignment, and reversibility sections, using MUST, SHOULD, and MAY priorities to guide remediation.

Can I use an automated code review to check test coverage and quality gaps?

Yes, an automated code review can systematically check test coverage and identify quality gaps by evaluating the implementation against structured criteria and labeling issues with MUST, SHOULD, or MAY fix priorities.

Does this code audit approach work for software libraries in any programming language?

Yes, this code audit approach applies to software libraries, codebases, and pull requests in any programming language, evaluating implementations for inaccuracies, security concerns, and spec non-conformities without language restrictions.

How do I prioritize security and performance issues found during a code audit?

To prioritize security and performance issues during a code audit, label findings as MUST fix, SHOULD fix, or MAY fix, allowing developers to systematically address critical inaccuracies and vulnerabilities before minor quality gaps.