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skill-quality-eval

Validate AI agent slash command files for structural integrity and quality.

2|Updated Mar 10, 2026
Search Tags:#testing#developer tools#quality assurance#validation#auditing#ai commands
One-click install
npx skills add https://github.com/Citedy/skills --skill skill-quality-eval
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: skill-quality-eval
Source: https://github.com/Citedy/skills/tree/main/skills/skill-quality-eval
Command: npx skills add https://github.com/Citedy/skills --skill skill-quality-eval

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill automates the validation of AI agent slash commands, ensuring they meet quality standards for discoverability, clarity, and accuracy, preventing common errors before deployment.

Core Features & Use Cases

  • Frontmatter Validation: Checks for mandatory name and description fields.
  • Description Quality: Enforces minimum length, checks for jargon, and verifies action-oriented language.
  • Duplicate Detection: Identifies similar commands with overlapping descriptions.
  • Use Case: Before committing new AI commands to your project, run this Skill to catch issues like missing descriptions or confusing jargon, ensuring your AI assistant understands and uses commands effectively.

Quick Start

Run the skill quality evaluator on the default commands directory.

Frequently Asked Questions about skill-quality-eval

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

FAQPage Schema
How do I validate AI command files for structural integrity before deployment?▼

To validate AI command files, run this Skill to check slash command (.md) files for missing YAML frontmatter, short descriptions, confusing jargon, and duplicate definitions to ensure reliability before deployment.

What checks are needed to ensure AI agent slash commands meet quality standards?▼

Quality validation for slash commands requires checking mandatory name and description fields, enforcing minimum description length, detecting jargon, verifying action-oriented language, and identifying duplicate commands.

Do I need Node.js to run quality assurance checks on AI command markdown files?▼

Yes, you need Node.js installed in your environment to execute the deterministic validation scripts that analyze your AI command markdown files and output structural quality reports.

How do I detect duplicate descriptions across multiple AI slash commands?▼

You can detect duplicate descriptions by running this validator on your commands directory, which automatically identifies overlapping descriptions and similar commands to prevent discoverability issues.

What is the best way to audit AI command quality for discoverability and accuracy?▼

Auditing AI command quality is best handled by automated validation that analyzes YAML frontmatter and description content, catching structural errors and confusing jargon to ensure your AI assistant understands commands accurately.

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