quality-auditor

Audit code quality across 12 dimensions with evidence-based scoring.

14|5|Updated Jan 29, 2026
One-click install
npx skills add https://github.com/oakoss/agent-skills --skill quality-auditor-oakoss
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: quality-auditor
Source: https://github.com/oakoss/agent-skills/tree/main/skills/quality-auditor
Command: npx skills add https://github.com/oakoss/agent-skills --skill quality-auditor-oakoss

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill addresses the challenge of objectively evaluating code quality, especially AI-generated code, by providing a structured, evidence-based auditing process across multiple critical dimensions.

Core Features & Use Cases

  • Comprehensive Auditing: Evaluates codebases against 12 weighted dimensions (Code Quality, Architecture, Security, etc.).
  • Evidence-Based Scoring: Assigns scores with concrete evidence, identifying strengths and weaknesses.
  • AI Code Verification: Specifically designed to bridge the verification gap for AI-generated code.
  • Use Case: Use this Skill to perform a pre-commit audit on a new feature branch to ensure it meets security, performance, and maintainability standards before merging.

Quick Start

Run a quality audit on the current project directory using the quality-auditor skill.

Frequently Asked Questions about quality-auditor

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

FAQPage Schema
How do I audit AI-generated code for security and maintainability before merging?

To audit AI-generated code, you need an evidence-based evaluation process that scores code quality across 12 critical dimensions. This enforces strict quality gates to verify AI output against industry standards before merging.

What is evidence-based code quality scoring and how does it work?

Evidence-based code quality scoring assigns objective scores to a codebase by evaluating 12 weighted dimensions including architecture, security, and performance. It identifies concrete evidence for strengths and weaknesses rather than relying on subjective opinions.

Can I use a code quality audit to assess technical debt across my entire codebase?

Yes, a comprehensive codebase evaluation assesses technical debt by examining architecture, code quality, and developer experience. It provides a structured audit with detailed rubrics to objectively measure accumulated debt across the project.

Does an automated code review check security assessment and performance standards?

An automated code review evaluates security and performance as two of 12 weighted dimensions in its audit. It analyzes the codebase against detailed rubrics to ensure these critical standards are met before enforcing strict quality gates.

What's the best way to perform a pre-commit audit on a new feature branch?

The best way to perform a pre-commit audit is running a comprehensive evaluation against 12 weighted quality dimensions. This ensures the feature branch meets security, performance, and maintainability standards through evidence-based scoring before integration.

Why does my codebase evaluation need detailed rubrics and scoring scales?

Your codebase evaluation needs detailed rubrics and scoring scales to ensure objective, evidence-based assessment. Without strict quality gates and standardized rubrics, code quality audits risk subjective bias and inconsistent enforcement of industry standards.