Hugging Face Skills is a collection of packaged instructions, scripts, and resources that teach AI agents how to perform tasks in the Hugging Face ecosystem, such as managing models and datasets, training models, and running evaluations. It is for coding agents that need to use Hugging Face Hub and machine-learning workflows. The catalogue entries are the project's own skills and integrations for agent clients.
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.
git clone --depth 1 https://github.com/huggingface/skillsWrote 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.
[](https://agentmods.dev/plugins/huggingface/skills/gemini-extension)<a href="https://agentmods.dev/plugins/huggingface/skills/gemini-extension"><img src="https://agentmods.dev/badge/plugins/huggingface/skills/gemini-extension/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.
<a href="https://agentmods.dev/plugins/huggingface/skills/gemini-extension"><img src="https://agentmods.dev/badge/plugins/huggingface/skills/gemini-extension.svg" alt="Reviewed on agentmods" width="80" height="20"></a>Grade A, and why
huggingface-skills scanned grade A with 0 findings 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 7d ago.
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.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
{
"name": "huggingface-skills",
"description": "Provides access to the Hugging Face Skills.",
"version": "1.0.35",
"contextFileName": "agentsmd/AGENTS.md",
"mcpServers": {
"huggingface-skills": {
"httpUrl": "https://huggingface.co/mcp?login"
}
}
}
What ships with it
12 files beside gemini-extension.json 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.
- assets/banner.png 42 KB
- scripts/AGENTS_TEMPLATE.md 594 B
- scripts/build_skill_distribution.py 11 KB runs code
- scripts/build_skills_index.py 15 KB runs code
- scripts/generate_agents.py 13 KB runs code
- scripts/generate_cursor_plugin.py 5.8 KB runs code
- scripts/plugin_versions.py 8.9 KB runs code
- scripts/publish.sh 2.3 KB runs code
- scripts/run_skills_help.py 2.3 KB runs code
- scripts/skills_index_queries.json 941 B
- scripts/test_build_skill_distribution.py 5.6 KB runs code
- scripts/UV_RULES.md 852 B
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.
- 7d ago Changed 643fbb35bbd2
- 14d ago Changed ba120b5500f3
- 21d ago Changed ea13f664540b
- 28d ago Changed b01fc6782967
- 1mo ago Changed a8f8310aa545
- 1mo ago First seen · 12 lines scan A 8d560fb5fe28
huggingface-skills is a plugin published in the GitHub repository huggingface/skills (11,172 stars, last pushed 7d ago), licensed Apache-2.0. Its token cost is not measured: this kind of file is read by the harness, not the model. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-09.
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