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promptIO: Skill for Claude Code

.agents/skills/huggingface-hub/SKILL.md

huggingface-hub is a skill for Claude Code, Codex from yashshinde0080/promptIO. It costs 100 tokens per session (2,192 once invoked), scanned A, original, no licence file.

A guide to the Hugging Face Hub, a service for sharing and using machine-learning models, datasets, and applications.

In plain words
What is it for?
Use it with Hub APIs, Python or JavaScript code, Gradio or Docker Spaces, model formats such as GGUF and PEFT/LoRA, datasets, webhooks, Jobs, and security features.
Why use it?
It brings together ways to work with the Hub through web requests, Python or JavaScript tools, hosted Spaces apps, and automation.

Skill for Claude CodeCodex

Which agent this was written for is unclear — body not stored (licence); the path alone says nothing. Also seen: installed under .agents/ (shared by several agents).

This is yashshinde0080/promptIO's own configuration. It tells Claude Code and Codex how to work on promptIO itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything promptIO configures →

not rated 24repo +2 2mo ago A scan 100 tokens no licence
View source ↗ yashshinde0080/promptIO
Reuse

Borrowing it

Nothing to install: this file belongs to yashshinde0080/promptIO. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/yashshinde0080/promptIO/main/.agents/skills/huggingface-hub/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/yashshinde0080/promptIO

Made for: Claude Code, Codex.

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-hub

README.md
[![agentmods](https://agentmods.dev/badge/skills/yashshinde0080/promptio/huggingface-hub/github.svg)](https://agentmods.dev/skills/yashshinde0080/promptio/huggingface-hub)
Your own site
<a href="https://agentmods.dev/skills/yashshinde0080/promptio/huggingface-hub"><img src="https://agentmods.dev/badge/skills/yashshinde0080/promptio/huggingface-hub/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for huggingface-hub

Your own site · 80×15
<a href="https://agentmods.dev/skills/yashshinde0080/promptio/huggingface-hub"><img src="https://agentmods.dev/badge/skills/yashshinde0080/promptio/huggingface-hub.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 100 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,192 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe.
Origin unknown 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 $0.00100 $0.02192
Opus 5 $0.00050 $0.01096
Sonnet 5 $0.00020 $0.00438
Haiku 4.5 $0.00010 $0.00219

Measured 11d ago against content hash fa2eff4a075d, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

huggingface-hub 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 11d ago.

The scan reads SKILL.md. This mod also ships 10 executable files (examples/collections-api.py, examples/download-files.py, examples/gradio-chat-interface.py, …), 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.

description: "Expert knowledge for the Hugging Face Hub ecosystem including HTTP/curl API usage, Python/JavaScript SDKs, Spaces apps (Gradio, Docker), model formats (GGUF, PEFT/LoRA), datasets (pandas, Polars, DuckDB), a
.agents/skills/huggingface-hub/SKILL.md · 282 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

Files

What ships with it

31 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 11d ago First seen · 282 lines · 100 tokens per session scan A fa2eff4a075d

Subscribe to this mod's changes

huggingface-hub is a skill published in the GitHub repository yashshinde0080/promptIO (24 stars, last pushed 2mo ago), with no licence file. It adds 100 tokens to every session and 2,192 once invoked, about $0.0005 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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