quality-auditor

Audit tools and codebases across 12 quality dimensions with evidence and scores.

34|7|Updated Oct 22, 2025
One-click install
npx skills add https://github.com/daffy0208/ai-dev-standards --skill quality-auditor
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: quality-auditor
Source: https://github.com/daffy0208/ai-dev-standards/tree/main/SKILLS/quality-auditor
Command: npx skills add https://github.com/daffy0208/ai-dev-standards --skill quality-auditor

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill eliminates subjective quality assessments by providing rigorous, evidence-based evaluations against industry standards.

Core Features & Use Cases

  • Comprehensive Auditing: Score tools across 12 dimensions including code quality, security, and developer experience.
  • Industry Benchmarking: Compare against established leaders like Linux kernel, Stripe, and Vercel.
  • Use Case: Imagine you need to evaluate whether your new SaaS platform is production-ready. Use this Skill to identify critical security vulnerabilities, performance bottlenecks, and usability issues before launch.

Quick Start

Use the quality-auditor skill to conduct a comprehensive audit of ai-dev-standards focusing on developer experience and security.

Frequently Asked Questions about quality-auditor

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

FAQPage Schema
How do I evaluate code quality against industry standards?

Code quality evaluation uses rigorous assessment across multiple dimensions including security, performance, and maintainability. This Skill audits codebases against established standards, producing dimension-by-dimension scores with evidence and actionable recommendations to identify gaps before production.

What are the 12 dimensions used to score code and tools?

The 12 critical quality dimensions span code quality, security, performance, developer experience, testing, documentation, and related engineering standards. Each dimension receives an evidence-based score; configurable weighting combines them into an overall quality assessment.

Can I benchmark my codebase against industry leaders?

Yes. This Skill compares tools, frameworks, and codebases against established leaders like the Linux kernel, Stripe, and Vercel, providing comparative analyses that show how your code ranks on each quality dimension relative to recognized standards.

How do I identify production-readiness issues before launch?

Run a comprehensive audit focusing on security vulnerabilities, performance bottlenecks, and usability gaps. The Skill generates detailed audit reports highlighting critical deficiencies, evidence supporting each finding, and specific recommendations to address gaps before deployment.

Can I customize how quality scores are calculated?

Yes. You can apply configurable weighting to dimension scores, allowing you to prioritize dimensions most critical to your context—whether security, developer experience, performance, or other factors—and compute an overall quality score that reflects your priorities.

Does this work for third-party frameworks and internal tools?

This Skill audits internal tools, third-party frameworks, and code repositories using the same 12-dimension assessment methodology, making it applicable across build systems, dependencies, platform components, and custom applications.