deep-audit

Audit repository infrastructure and fix factual errors, bugs, and inconsistencies.

1|Updated Mar 13, 2026

Search Tags:#code quality #automation #consistency #bug fixing #audit #repository management

Ready to run

npx skills add https://github.com/AndreaMentasti/tweet-election --skill deep-audit-andreamentasti

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: deep-audit
Source: https://github.com/AndreaMentasti/tweet-election/tree/main/.claude/skills/deep-audit
Command: npx skills add https://github.com/AndreaMentasti/tweet-election --skill deep-audit-andreamentasti

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill addresses inconsistencies, bugs, and factual errors within the repository's infrastructure, ensuring a high level of quality and reliability.

Core Features & Use Cases

Comprehensive Auditing: Conducts deep audits across guides, code, skills, rules, and cross-document references.
Automated Fixing: Identifies and rectifies issues, looping until the repository is clean.
Use Case: After making significant changes to skills or rules, run this audit to catch any introduced errors or inconsistencies before a release.

Quick Start

Run a deep audit of the entire repository infrastructure and fix all issues found.

Frequently Asked Questions about deep-audit

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

FAQPage Schema

How do I audit my repository for code bugs and cross-document inconsistencies?▼

A deep consistency audit identifies and fixes factual errors, code bugs, count mismatches, and cross-document inconsistencies. It deploys parallel specialist agents to examine guide content, hook code, skills, rules, and references across your entire repository.

Can I automatically fix repository infrastructure errors after making significant changes?▼

Yes, you can automatically fix repository infrastructure errors by running an audit that loops until the repository is clean. The process iteratively identifies and rectifies factual errors, code bugs, and inconsistencies introduced during development.

What is the best way to ensure repository integrity before a release?▼

The best way to ensure repository integrity before a release is to perform a comprehensive automated audit. This catches introduced errors by deeply checking guide accuracy, hook code quality, and cross-document consistency across your repository infrastructure.

Does the repository audit check both code quality and content accuracy?▼

Yes, the repository audit checks both code quality and content accuracy simultaneously. It launches parallel specialist agents dedicated to verifying guide content accuracy and analyzing hook code quality, alongside checking skills and rules consistency.

How do I resolve count mismatches and factual errors in my repository?▼

To resolve count mismatches and factual errors in your repository, execute a deep consistency audit. The automated process detects these specific issues alongside code bugs and cross-document inconsistencies, fixing them iteratively until clean.

When should I run a deep consistency audit on my repository?▼

You should run a deep consistency audit after making significant changes to skills or rules. Running it before a release ensures that any newly introduced errors, count mismatches, or cross-document inconsistencies are caught and fixed.