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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
One-click install
npx skills add https://github.com/yuchenzhu-research/zhihu-scraper --skill audit-yuchenzhu-research
Or copy as Structured Prompt for Agent▼
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.

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