vibe-code-auditor

Audit AI-generated code for structural flaws and production risks.

2|Updated Feb 6, 2026

Search Tags:#code quality #technical debt #software architecture #production readiness #code audit #AI code

Ready to run

npx skills add https://github.com/bcastelino/agent-skills-kit --skill vibe-code-auditor

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: vibe-code-auditor
Source: https://github.com/bcastelino/agent-skills-kit/tree/main/skills/vibe-code-auditor
Command: npx skills add https://github.com/bcastelino/agent-skills-kit --skill vibe-code-auditor

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill helps identify hidden risks, architectural weaknesses, and maintainability problems in code that was rapidly generated or produced by AI, ensuring it's suitable for production.

Core Features & Use Cases

Risk Assessment: Evaluates code across architecture, consistency, robustness, security, and more.
Production Readiness: Determines if code is production-ready or requires significant rework.
Use Case: You've used an AI tool to generate a significant portion of your application's backend. Use this Skill to perform a thorough audit before deploying to production, catching potential issues early.

Quick Start

Use the vibe-code-auditor skill to audit the provided Python code snippet for production risks.

Frequently Asked Questions about vibe-code-auditor

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

FAQPage Schema

How do I audit AI-generated code for production readiness?▼

Auditing AI-generated code for production readiness requires evaluating structural flaws and fragility across seven dimensions: architecture, consistency, robustness, production risks, security, dead code, and technical debt. This process yields a detailed report containing critical findings, a production readiness score, and refactoring priorities.

What is technical debt analysis for rapidly generated code?▼

Technical debt analysis for rapidly generated code identifies hidden risks and architectural weaknesses that compromise maintainability. It evaluates the codebase to determine if significant rework is required before deployment, providing a detailed report of critical and high-risk findings.

How do I check my codebase for security and architectural flaws?▼

Checking a codebase for security and architectural flaws involves analyzing the code across multiple dimensions including robustness and consistency. This audit detects structural fragility and production risks, outputting a maintainability report with prioritized refactoring actions.

Can I use a code audit to find dead code and production risks?▼

A code audit can be used to find dead code and production risks by analyzing the software architecture and consistency. It assesses the code's structural integrity, calculates a production readiness score, and highlights critical areas needing immediate refactoring.

What is the best way to assess software architecture fragility?▼

The best way to assess software architecture fragility is to perform a comprehensive audit that checks for structural flaws and robustness issues. This approach evaluates the code across seven dimensions, delivering a maintainability report and a production readiness score to guide refactoring.