hugging-face-tool-builder

hugging-face-tool-builder is a skill for Claude Code from patchy631/ai-engineering-hub. It costs 67 tokens per session (1,221 once invoked), scanned A, original, MIT.

A guide for building reusable command-line scripts that use the Hugging Face API. Hugging Face is a platform for sharing and working with machine-learning models and datasets.

In plain words
What is it for?
Use it to fetch, enrich, or process Hugging Face data, inspect API results, connect commands through pipelines, and document script inputs and outputs.
Why use it?
It helps turn repeated API tasks into scripts that can be tested, combined, and reused instead of performed manually each time.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the hugging-face-skills plugin — 8 skills, 1 agent, 1 plugin shipped together

About the project

AI Engineering Hub is a learning and project repository covering large language models, retrieval-augmented generation, AI agents, and related applications. Beginners, practitioners, and researchers use its tutorials and projects to learn AI engineering and build working systems. The catalogue entries are examples of the skills, plugins, and agent resources included with it.

patchy631/ai-engineering-hub · 37,338 stars · on GitHub · join.dailydoseofds.com

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add skills/patchy631/ai-engineering-hub/hugging-face-tool-builder
Any agent
npx skills add patchy631/ai-engineering-hub --skill hugging-face-tool-builder
Clone the repo
git clone --depth 1 https://github.com/patchy631/ai-engineering-hub

Made for: Claude Code.

Or install hugging-face-skills, the plugin that ships this one along with the rest of its 8 skills, 1 agent, 1 plugin.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for hugging-face-tool-builder

README.md
[![agentmods](https://agentmods.dev/badge/skills/patchy631/ai-engineering-hub/hugging-face-tool-builder.svg)](https://agentmods.dev/skills/patchy631/ai-engineering-hub/hugging-face-tool-builder)
Your own site
<a href="https://agentmods.dev/skills/patchy631/ai-engineering-hub/hugging-face-tool-builder"><img src="https://agentmods.dev/badge/skills/patchy631/ai-engineering-hub/hugging-face-tool-builder.svg" alt="Measured on agentmods" height="20"></a>
Per session 67 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,221 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00067 $0.01221
Opus 5 $0.00034 $0.00611
Sonnet 5 $0.00013 $0.00244
Haiku 4.5 $0.00007 $0.00122

Measured 6d ago against content hash b965eaa59aa9, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

hugging-face-tool-builder scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 6d ago.

The scan reads SKILL.md. This mod also ships 6 executable files (references/baseline_hf_api.py, references/baseline_hf_api.sh, references/find_models_by_paper.sh, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

- IMPORTANT: Use the `HF_TOKEN` environment variable as an Authorization header. For example: `curl -H "Authorization: Bearer ${HF_TOKEN}" https://huggingface.co/api/`. This provides higher rate limits and appropriate au
Origin

Copies of this mod

6 near-identical copies found in the catalogue:

hugging-face-skills/skills/hugging-face-tool-builder/SKILL.md · 111 lines

How it starts

The opening of the file, as written. The whole thing — 111 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Hugging Face API Tool Builder

Your purpose is now is to create reusable command line scripts and utilities for using the Hugging Face API, allowing chaining, piping and intermediate processing where helpful. You can access the API directly, as well as use the hf command line tool. Model and Dataset cards can be accessed from repositories directly.

Script Rules

Make sure to follow these rules:

  • Scripts must take a --help command line argument to describe their inputs and outputs
  • Non-destructive scripts should be tested before handing over to the User
  • Shell scripts are preferred, but use Python or TSX if complexity or user need requires it.
  • IMPORTANT: Use the HF_TOKEN environment variable as an Authorization header. For example: curl -H "Authorization: Bearer ${HF_TOKEN}" https://huggingface.co/api/. This provides higher rate limits and appropriate authorization for data access.
  • Investigate the shape of the API results before commiting to a final design; make use of piping and chaining where composability would be an advantage - prefer simple solutions where possible.
  • Share usage examples once complete.

Be sure to confirm User preferences where there are questions or clarifications needed.

Sample Scripts

Paths below are relative to this skill directory.

Reference examples:

  • references/hf_model_papers_auth.sh — uses HF_TOKEN automatically and chains trending → model metadata → model card parsing with fallbacks; it demonstrates multi-step API usage plus auth hygiene for gated/private content.
  • references/find_models_by_paper.sh — optional HF_TOKEN usage via --token, consistent authenticated search, and a retry path when arXiv-prefixed searches are too narrow; it shows resilient query strategy and clear user-facing help.
  • references/hf_model_card_frontmatter.sh — uses the hf CLI to download model cards, extracts YAML frontmatter, and emits NDJSON summaries (license, pipeline tag, tags, gated prompt flag) for easy filtering.

Read the full file on GitHub · 111 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 6d ago First seen · 111 lines · 67 tokens per session scan A b965eaa59aa9

Subscribe to this mod's changes

hugging-face-tool-builder is a skill published in the GitHub repository patchy631/ai-engineering-hub (37,338 stars, last pushed 10d ago), licensed MIT. It adds 67 tokens to every session and 1,221 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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