deep-audit

Analyze codebases across architecture, security, error handling, domain logic, and testing.

Updated Mar 30, 2026

Search Tags:#testing #security #codebase #audit #analysis

Ready to run

npx skills add https://github.com/Eric-Pacheco95/claude-workbench --skill deep-audit-eric-pacheco95

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: deep-audit
Source: https://github.com/Eric-Pacheco95/claude-workbench/tree/main/.claude/skills/deep-audit
Command: npx skills add https://github.com/Eric-Pacheco95/claude-workbench --skill deep-audit-eric-pacheco95

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

The deep-audit Skill provides a detailed and structured analysis of any codebase, identifying issues in architecture, security, error handling, domain logic, and testing.

Core Features & Use Cases

Multi-axis Analysis: Thorough analysis across five dimensions for in-depth insights.
Onboarding: Full audit and a task list for onboarding new projects.
Evaluation: Read-only analysis with recommendations for existing projects.
Pattern Extraction: Identifies and rates reusable code patterns.

Quick Start

Run the deep-audit command with the local path to your codebase.

Frequently Asked Questions about deep-audit

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

FAQPage Schema

How do I perform a comprehensive codebase audit for security and architecture risks?▼

A comprehensive codebase audit analyzes your project across five axes: architecture, security, error handling, domain logic, and testing. It identifies vulnerabilities and risks, presenting results in a tiered report format suitable for evaluation and onboarding.

What is multi-axis codebase analysis and when do I need it?▼

Multi-axis codebase analysis evaluates code across architecture, security, error handling, domain logic, and testing dimensions. You need it when onboarding new projects, evaluating existing code, or extracting reusable code patterns to identify areas of improvement.

Can I use deep-audit to evaluate an existing project without modifying the code?▼

Yes, deep-audit performs read-only analysis on your local codebase to provide evaluation recommendations. It requires executing multiple scripts and checks to identify vulnerabilities and risks without altering your source files.

How do I identify and rate reusable code patterns in my repository?▼

Pattern extraction identifies and rates reusable code patterns within your codebase by analyzing domain logic and architecture. It provides structured insights through a tiered report, helping you cherry-pick effective code implementations for reuse.

Does deep-audit require any external dependencies or testing frameworks to run?▼

No, deep-audit operates without external dependencies. It executes internal scripts directly against your local codebase path to conduct comprehensive analysis across architecture, security, error handling, domain logic, and testing axes.

What is the best way to analyze codebase vulnerabilities and generate an onboarding task list?▼

The best way is running a multi-axis codebase audit that checks security, architecture, and domain logic. It generates a tiered report identifying vulnerabilities and provides a task list specifically structured for onboarding new projects.