huggingface-tool-builder

huggingface-tool-builder is a skill for Claude Code, Codex from waybarrios/opencode-power-pack. It costs 67 tokens per session (1,331 once invoked), scanned A, a copy of hugging-face-tool-builder, MIT.

A guide for building reusable command-line tools that fetch or process information from the Hugging Face API, a service hosting machine-learning models and datasets.

In plain words
What is it for?
Use it to create scripts that retrieve, enrich, or process Hugging Face data, with help text, authorization through HF_TOKEN, and usage examples.
Why use it?
It helps turn repeated API work into scripts that can be tested, chained together, and used from the command line with clear inputs and outputs.

Skill for Claude CodeCodex

Part of the opencode-power-pack plugin — 54 skills shipped together

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/waybarrios/opencode-power-pack/huggingface-tool-builder
Any agent
npx skills add waybarrios/opencode-power-pack --skill huggingface-tool-builder
Clone the repo
git clone --depth 1 https://github.com/waybarrios/opencode-power-pack

Made for: Claude Code, Codex.

Or install opencode-power-pack, the plugin that ships this one along with the rest of its 54 skills.

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 huggingface-tool-builder

README.md
[![agentmods](https://agentmods.dev/badge/skills/waybarrios/opencode-power-pack/huggingface-tool-builder.svg)](https://agentmods.dev/skills/waybarrios/opencode-power-pack/huggingface-tool-builder)
Your own site
<a href="https://agentmods.dev/skills/waybarrios/opencode-power-pack/huggingface-tool-builder"><img src="https://agentmods.dev/badge/skills/waybarrios/opencode-power-pack/huggingface-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 1,331 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. Scan, not verified.
Origin 97% copy Near-identical to another mod 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 $0.01331
Opus 5 $0.00034 $0.00665
Sonnet 5 $0.00013 $0.00266
Haiku 4.5 $0.00007 $0.00133

Measured 6d ago against content hash 29b89ffb7518, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-05, from the pricing page.

Security

Grade A, and why

huggingface-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

This is a copy

97% identical to hugging-face-tool-builder — 231 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

skills/huggingface-tool-builder/SKILL.md · 122 lines

How it starts

The opening of the file, as written. The whole thing — 122 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 · 122 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 · 122 lines · 67 tokens per session scan A 29b89ffb7518

Subscribe to this mod's changes

huggingface-tool-builder is a skill published in the GitHub repository waybarrios/opencode-power-pack (490 stars, last pushed 3d ago), licensed MIT. It adds 67 tokens to every session and 1,331 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). It is 97% identical to hugging-face-tool-builder, differing in 231 lines, and is treated as a copy.

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