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cmatKhan
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Inspect and audit HuggingFace dataset repositories via the labretriever DataCard API.

2|Updated Mar 23, 2026
Search Tags:#documentation#audit#scaffold#collection#dataset#huggingface#datacard
One-click install
npx skills add https://github.com/cmatKhan/labretriever --skill repo-cmatkhan
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: repo
Source: https://github.com/cmatKhan/labretriever/tree/main/skills/repo
Command: npx skills add https://github.com/cmatKhan/labretriever --skill repo-cmatkhan

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill helps users scaffold DataCard READMEs and audit HuggingFace dataset repositories, enabling consistent documentation and quick repo assessment.

Core Features & Use Cases

  • Scaffold minimal DataCard READMEs for HuggingFace repositories to standardize documentation.
  • Inspect a repo's DataCard and query related files to understand dataset configurations.
  • Audit collections and verify DataCard completeness and consistency across repos.

Quick Start

Scaffold a minimal DataCard README skeleton for org/repo-name.

Frequently Asked Questions about repo

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

FAQPage Schema
How do I scaffold a DataCard README for a HuggingFace dataset repository?▼

To scaffold a DataCard README, apply the skill to an org/repo-name to generate a minimal README skeleton, standardizing documentation and enabling consistent repo assessment.

How do I audit HuggingFace dataset collections for DataCard completeness?▼

Audit HuggingFace dataset collections by inspecting multiple repositories to verify DataCard completeness and consistency, ensuring metadata and readme standards are met across repos.

Can I inspect HuggingFace dataset schemas and configs without a VirtualDB config file?▼

Yes, you can inspect dataset schemas and configs without a VirtualDB config file by using the labretriever DataCard API to analyze repo structure and metadata.

What is the best way to standardize documentation across multiple HuggingFace repositories?▼

Standardize documentation by scaffolding minimal DataCard READMEs and auditing collections across HuggingFace repos to verify metadata consistency and readme completeness.

Does auditing HuggingFace repos require any external dependencies?▼

Auditing HuggingFace repos requires no external dependencies, relying solely on the labretriever DataCard API to analyze configurations, schemas, and metadata structures.

Why does my HuggingFace dataset repository lack a standardized DataCard?▼

HuggingFace dataset repositories lack standardized DataCards when missing minimal READMEs; scaffold new DataCard README skeletons to enable quick assessment and consistent metadata.

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