hugging-face-tool-builder

Fetch and enrich Hugging Face API model metadata into NDJSON output.

1|Updated Feb 20, 2026
One-click install
npx skills add https://github.com/BlackRoad-OS-Inc/blackroad-operator --skill hugging-face-tool-builder-blackroad-os-inc
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: hugging-face-tool-builder
Source: https://github.com/BlackRoad-OS-Inc/blackroad-operator/tree/main/agents/skills/skills/hugging-face-tool-builder
Command: npx skills add https://github.com/BlackRoad-OS-Inc/blackroad-operator --skill hugging-face-tool-builder-blackroad-os-inc

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill enables building reusable CLI scripts and utilities to access and chain the Hugging Face API, accelerating data tasks and model metadata workflows.

Core Features & Use Cases

  • Create modular scripts that fetch models, model cards, and metadata from Hugging Face.
  • Chain API calls, enrich results, and emit structured outputs (NDJSON) for analysis and pipelines.
  • Use cases include automated model discovery, license and tag extraction, and quick data enrichment for ML projects.

Quick Start

Run a starter script that fetches models from Hugging Face and prints the raw JSON results.

Frequently Asked Questions about hugging-face-tool-builder

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

FAQPage Schema
How do I extract Hugging Face model metadata and output it as NDJSON for my data pipeline?

This Skill fetches and enriches Hugging Face model metadata via chained API calls, outputting structured NDJSON results to accelerate data tasks and enable seamless model discovery within ML pipelines.

Can I automate Hugging Face model discovery and extract license and tag information?

Yes, you can build modular CLI scripts to automate Hugging Face model discovery, systematically fetching model cards to extract and enrich license and tag metadata for downstream analysis.

Do I need an HF_TOKEN to fetch models and model cards from the Hugging Face API?

An HF_TOKEN is not strictly required for basic fetches, but the Skill supports optional HF_TOKEN authentication to access restricted models and ensure reliable API rate limits during automated metadata extraction.

What is the best way to chain multiple Hugging Face API calls for data enrichment?

The best approach is using this Skill's modular, documentation-driven workflow to sequentially fetch, enrich, and process model data across chained API calls, emitting structured NDJSON outputs for analysis.

How do I build reusable CLI scripts for Hugging Face API data processing?

You build reusable CLI scripts by leveraging this Skill's modular design and references, which guide you in creating utilities that access the Hugging Face API and emit NDJSON outputs for data processing tasks.