audit

Audit local codebases across languages and generate a scored quality report.

22|6|Updated Feb 11, 2026

Search Tags:#multi-agent #governance #synthesis #code-quality #static-analysis #code-audit #dimensions

Ready to run

npx skills add https://github.com/yuchenzhu-research/zhihu-scraper --skill audit-yuchenzhu-research

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: audit
Source: https://github.com/yuchenzhu-research/zhihu-scraper/tree/main/references/skills/engineering/quality-detection/audit
Command: npx skills add https://github.com/yuchenzhu-research/zhihu-scraper --skill audit-yuchenzhu-research

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill orchestrates a rigorous, evidence-based audit of a codebase by launching separate agents for each quality dimension, then synthesizing findings into a scored report to guide improvements.

Core Features & Use Cases

Spawns independent dimension agents to analyze areas like security, error handling, test quality, and code organization.
Quantifies findings with exact file paths, line references, and actionable remediation steps, then produces a consolidated report.
Useful before major releases, for governance reviews, or ongoing quality assurance to surface systemic risks and patterns.

Quick Start

Run the audit from the project root to start a full, multi-dimension quality review.

Frequently Asked Questions about audit

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

FAQPage Schema

How do I run a multi-agent code audit on my local codebase?▼

To run a multi-agent code audit, execute the audit process from your project root to initiate a full review. This spawns independent dimension agents that analyze files and synthesize a scored report.

What code quality dimensions are covered in a static analysis audit?▼

A static analysis audit covers security, error-handling, test quality, data-modeling, and code-organization patterns. Independent agents analyze these dimensions to surface systemic risks and improvement patterns.

Can I use automated code audit tools for a governance review before a release?▼

Yes, you can use automated code audit tools for governance reviews and pre-release checks. The audit quantifies findings with exact file paths and line references to produce an actionable, scored report.

Does multi-agent code analysis work across different programming languages?▼

Multi-agent code analysis applies to local codebases across multiple languages. It assesses quality dimensions like security and code organization independently of a specific language framework.

What is the best way to quantify codebase quality and find actionable improvements?▼

The best way to quantify codebase quality is spawning independent dimension agents to detect patterns and structures. This synthesizes a final, scored report containing exact file paths and remediation steps.

Why does my codebase audit report specific line references and file paths?▼

Your codebase audit reports specific line references and file paths to quantify findings with evidence. This ensures the synthesized scored report provides actionable remediation steps for identified risks.