When should I use the vibe-audit skill?

It is best used during code reviews, before shipping to production, during technical due diligence, or whenever you need an unbiased assessment of technical debt.

Can this skill detect low-quality AI-generated code?

Yes, it specifically checks for 'AI hallucination smells' and 'slop' to ensure that AI-generated contributions meet professional standards and aren't just superficial implementations.

What is a vibe audit in software engineering?

A vibe audit is a comprehensive assessment of a codebase's health, focusing on architectural integrity, engineering rigor, and the overall 'feel' of the technical implementation versus industry best practices.

How does the 100-point scoring system work?

The skill evaluates 20 metrics across five categories: Architecture, Core Engineering, Performance & Scale, Security & Robustness, and QA & Operations. Each metric is scored 0-5.

Engineering Vibe Audit

Name: Engineering Vibe Audit
Author: nalyk

bynalyk

0•

Security & Testing

Conducts a rigorous 20-metric technical audit to evaluate code quality, production readiness, and AI-generated slop.

The Engineering Vibe Audit skill provides a deep-dive assessment of codebases, scoring technical quality across 20 critical metrics including architectural integrity, performance, security, and maintainability. It is specifically designed to distinguish between professional-grade engineering and low-quality AI-generated 'slop,' providing a numerical verdict from 0-100 and actionable feedback. Whether you are performing technical due diligence, preparing for a production launch, or validating complex pull requests, this skill offers a brutal, honest evaluation of technical debt and architectural soundness.

Key Features

01Evaluation of security robustness, observability, and CI/CD readiness

020 GitHub stars

03Detailed verdict bands ranging from 'Vibe Coding Scrap' to 'Unicorn Tier'

04Automatic detection of AI-generated code smells and hallucinations

05Assessment of architectural justification and dependency management

0620-metric scoring system across five core engineering domains

Use Cases

01Technical due diligence for M&A, investment rounds, or new hires

02Validation of AI-generated code for production-grade reliability

03Pre-launch architectural reviews and quality assessments for scaling systems

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add nalyk/nalyk-skills-demo vibe-audit

For use in Claude.ai and ChatGPT

Download Skill