code-auditor

Analyze codebases for architecture, security, performance, and testing issues.

Updated Dec 4, 2025
One-click install
npx skills add https://github.com/jr2804/prompts --skill code-auditor-jr2804
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: code-auditor
Source: https://github.com/jr2804/prompts/tree/main/skills/development/code-auditor
Command: npx skills add https://github.com/jr2804/prompts --skill code-auditor-jr2804

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill automates comprehensive codebase analysis to surface architecture issues, quality gaps, security risks, performance bottlenecks, testing gaps, and maintainability concerns, enabling teams to improve code health with targeted actions.

Core Features & Use Cases

  • Architecture & Design: reviews overall structure, patterns, module boundaries, dependencies, and trade-offs.
  • Code Quality & Testing: identifies complexity hotspots, duplication, naming inconsistencies, documentation gaps, test coverage gaps, and testing practices.
  • Security & Compliance: checks for OWASP-related risks, input validation, authentication/authorization, secrets handling, and dependency vulnerabilities.
  • Performance & Maintainability: highlights memory usage patterns, optimization opportunities, caching opportunities, and long-term technical debt.
  • Approach: leverages structured exploration, pattern identification, critical-file reading, optional static analysis, and synthesis of findings into a prioritized report.

Quick Start

Run the code-auditor on your repository to generate a health report for the project.

Frequently Asked Questions about code-auditor

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

FAQPage Schema
How do I run a code audit to identify security risks and architecture issues?

A code audit analyzes your repository to surface architecture issues, security risks, and performance bottlenecks. It explores critical files and uses static analysis to synthesize findings into a structured, actionable report.

What is the best way to check code quality and testing gaps in a legacy codebase?

Checking code quality involves identifying complexity hotspots, duplication, and testing gaps. A thorough code audit reviews module boundaries, dependencies, and testing practices to assess the maintainability of legacy systems.

Can I use automated codebase analysis to find performance bottlenecks and technical debt?

Automated codebase analysis highlights memory usage patterns, optimization opportunities, and long-term technical debt. It evaluates your code to pinpoint performance bottlenecks and produce a prioritized health report.

Does a code health check cover OWASP security risks and dependency vulnerabilities?

A code health check reviews security and compliance by checking for OWASP-related risks, input validation, authentication, and secrets handling. It also surfaces dependency vulnerabilities to secure your repository.

How do I assess maintainability concerns and code quality gaps across different programming languages?

Assessing maintainability involves reviewing structure, patterns, and documentation gaps across languages. The code audit applies pattern identification and critical-file reading to detect maintainability concerns and code quality gaps.

When should I not rely on a static analysis tool for a codebase health check?

Static analysis is optional and supplements thorough exploration of critical files. Rely on it to identify patterns and dependency vulnerabilities, but synthesize findings manually to capture nuanced architecture issues and trade-offs.