code-auditor

Analyze codebases across architecture, quality, security, performance, testing, and maintainability.

1|Updated Nov 7, 2025
One-click install
npx skills add https://github.com/POWERFULMOVES/PMOVES-BoTZ --skill code-auditor-powerfulmoves
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: code-auditor
Source: https://github.com/POWERFULMOVES/PMOVES-BoTZ/tree/main/.claude/skills/code-auditor
Command: npx skills add https://github.com/POWERFULMOVES/PMOVES-BoTZ --skill code-auditor-powerfulmoves

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill addresses the challenge of maintaining high-quality, secure, and performant codebases by providing a comprehensive analysis of architectural soundness, code quality, security vulnerabilities, performance bottlenecks, testing effectiveness, and overall maintainability.

Core Features & Use Cases

  • Comprehensive Code Analysis: Evaluates code across six critical dimensions: Architecture, Quality, Security, Performance, Testing, and Maintainability.
  • Actionable Insights: Identifies specific issues with file and line references, severity ratings, and prioritized recommendations.
  • Use Case: A development team can use this Skill to perform a thorough code review before a major release, identifying and rectifying potential technical debt, security flaws, and performance issues to ensure a robust and stable product.

Quick Start

Use the code-auditor skill to perform a standard audit of the current codebase.

Frequently Asked Questions about code-auditor

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

FAQPage Schema
How do I perform a comprehensive code audit to identify technical debt and security vulnerabilities?

A comprehensive code audit evaluates your codebase across six critical dimensions: architecture, code quality, security, performance, testing, and maintainability. It identifies technical debt and security vulnerabilities by exploring patterns, reading critical files, and running static analysis tools to synthesize actionable findings.

What is the best way to check codebase health before a major release?

To check codebase health before a major release, you should assess architectural soundness, code quality, security flaws, and performance bottlenecks. This process identifies specific issues with file and line references, severity ratings, and prioritized recommendations to ensure a robust product.

Can I assess test coverage and maintainability without configuring external dependencies?

Yes, you can assess test coverage and maintainability without external dependencies. The code audit requires thorough codebase exploration, critical file reading, and static analysis tool execution directly within your environment to evaluate testing effectiveness and overall maintainability.

How does code review for maintainability differ from standard static analysis?

Code review for maintainability goes beyond standard static analysis by synthesizing findings across architecture, quality, security, performance, and testing into an actionable report. It identifies technical debt and provides prioritized recommendations with specific file and line references.

What should a code security analysis report include to be actionable?

An actionable code security analysis report should include specific security vulnerabilities identified during the audit, complete with file and line references, severity ratings, and prioritized recommendations. This ensures development teams can systematically rectify flaws and improve codebase health.

When should I not use an automated codebase health check?

You should reconsider an automated codebase health check if your project lacks sufficient codebase maturity for static analysis tool execution. The audit requires thorough exploration and pattern identification to synthesize findings into an actionable report, which may not yield meaningful results on incomplete or highly fragmented code.