skill-unit-metadata

Generate YAML metadata from Skill directories with risk assessment.

Updated Feb 15, 2026
One-click install
npx skills add https://github.com/Sayem9999/nilamit.com --skill skill-unit-metadata
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: skill-unit-metadata
Source: https://github.com/Sayem9999/nilamit.com/tree/main/docs
Command: npx skills add https://github.com/Sayem9999/nilamit.com --skill skill-unit-metadata

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires yaml, regex, fileSystem, contentAnalysis, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill automates the extraction and compilation of structured information from Skill directories, ensuring consistent, detailed, and precise metadata for better discoverability and integration within AI systems.

Core Features & Use Cases

  • Directory Identification: Detects valid Skill units based on the presence of SKILL.md and required frontmatter.
  • Metadata Extraction: Parses name, collects optional directories (scripts/, references/, assets/) and analyzes content to produce rich metadata.
  • Risk Assessment: Evaluates scripting contents for security threats or prompt injection risks, ensuring safety compliance.
  • Use Case: Automatically generates metadata for a custom AI skills repository, enabling efficient indexing, search, and management.

Quick Start

Input the directory path of your Skill unit into the tool to obtain a structured YAML metadata document suitable for integration and discovery.

Frequently Asked Questions about skill-unit-metadata

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

FAQPage Schema
How do I generate metadata for AI skills from a repository directory?

To generate metadata for AI skills, input a directory path containing a SKILL.md file into the tool to obtain a structured YAML metadata document for integration. It analyzes directory structure, script contents, and safety to ensure consistent indexing and discoverability.

What does automated skill detection require to start indexing content?

Automated skill detection requires a valid directory containing a SKILL.md file with required frontmatter. The tool then parses the name, collects optional directories like scripts and references, and analyzes the content to produce rich metadata.

Can I evaluate scripts for prompt injection risks during metadata extraction?

Yes, you can evaluate scripts for prompt injection risks during metadata extraction. The tool performs risk assessment by analyzing scripting contents for security threats to ensure safety compliance before generating the final structured YAML output.

Does the metadata generator output YAML for directory parsing and cataloging?

Yes, the metadata generator outputs structured YAML for directory parsing and cataloging. It facilitates automated extraction of structured information from skill directories to support rapid, scalable indexing and maintainability across AI systems.

What is the best way to ensure consistent metadata standards across skill assets?

The best way to ensure consistent metadata standards is to automate extraction using directory structure and content analysis. This tool compiles structured information and performs safety compliance checks to maintain uniform metadata across all assets.