ds-audit

Audit skills and agents for inconsistencies in descriptions, format, and frontmatter.

18|3|Updated Mar 19, 2026

Search Tags:#validation #audit #skills #agent #quality #lint #repo

Ready to run

npx skills add https://github.com/Dataslayer-AI/Marketing-skills --skill ds-audit

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: ds-audit
Source: https://github.com/Dataslayer-AI/Marketing-skills/tree/main/skills/ds-audit
Command: npx skills add https://github.com/Dataslayer-AI/Marketing-skills --skill ds-audit

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Internal development tool that performs a comprehensive quality audit of all marketing skills and agents. Reviews description overlap, format consistency, feature adoption, and structural patterns. Use when the user says "audit skills", "skill quality review", "check skill health", "are my skills consistent", "monthly skill review", or before releasing a new version of the skills repo.

Core Features & Use Cases

Load all skill and agent data
Compare descriptions for overlap and coverage
Check format consistency across skills
Identify pattern and structure deviations
Produce a maintainers-ready audit report

Quick Start

Run a weekly audit across the repository to surface inconsistencies for all skills and agents.

Frequently Asked Questions about ds-audit

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

FAQPage Schema

How do I audit skills for consistency and quality in a repository?▼

To audit skills for consistency, you can automatically extract frontmatter fields, section headings, and output formats to identify structural deviations and description overlaps. This produces a maintainers-ready report supporting ongoing quality assurance.

What does a skill quality review check for across agents and agents?▼

A skill quality review checks for description overlap, format consistency, feature adoption, and structural pattern deviations. It compares all skills and agents across the repository to surface inconsistencies for maintainers.

How do I check skill health before releasing a new version of the repo?▼

You check skill health before a release by running a comprehensive quality audit to identify inconsistencies in frontmatter structure, tool usage patterns, and format consistency across all skills and agents.

Can I automate a monthly skill review to find pattern deviations?▼

Yes, you can automate a monthly skill review by loading all skill and agent data to compare descriptions, check format consistency, and identify pattern deviations, generating a maintainers-ready audit report.

When do I need to run a repository skills audit?▼

You need to run a repository skills audit when checking skill health, preparing for a new repo release, or performing a monthly review to ensure description coverage and frontmatter structure remain consistent across all agents.

What is the best way to identify description overlap across multiple agents?▼

The best way to identify description overlap is to load all skill and agent data and compare descriptions for coverage and consistency, extracting frontmatter fields and section headings to inform maintainers of structural deviations.