Hugging Face Hub is a platform for sharing and using machine-learning models, datasets, and hosted applications. Its official command-line tool and Python client let developers and coding agents search, download, upload, manage, run inference with, and collaborate around those resources.
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.
npx agentmods add skills/huggingface/huggingface_hub/hf-release-notesnpx skills add huggingface/huggingface_hub --skill hf-release-notesgit clone --depth 1 https://github.com/huggingface/huggingface_hubWrote 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/skills/huggingface/huggingface_hub/hf-release-notes)<a href="https://agentmods.dev/skills/huggingface/huggingface_hub/hf-release-notes"><img src="https://agentmods.dev/badge/skills/huggingface/huggingface_hub/hf-release-notes.svg" alt="Measured on agentmods" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00036 | $0.01418 |
| Opus 5 | $0.00018 | $0.00709 |
| Sonnet 5 | $0.00007 | $0.00284 |
| Haiku 4.5 | $0.00004 | $0.00142 |
Grade A, and why
hf-release-notes 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 6d 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.
How it starts
The opening of the file, as written. The whole thing — 131 lines — stays where its author put it; the contents beside it link to each section on GitHub.
HF Release Notes
Overview
Generate release notes for huggingface_hub from cached PR JSON files. This skill reads PR metadata, categorizes entries, and produces a formatted markdown release notes document.
Output directory: The prompt will specify the output directory as <output_dir>. All paths below use this placeholder.
Workflow
1. Read PR data
Read all PR JSON files from <output_dir>/tmp/pr_*.json. Each file contains:
{
"number": 1234,
"title": "...",
"author": "username",
"merged_at": "2026-01-15T10:30:00Z",
"body": "...",
"labels": ["highlight", "cli"],
"url": "https://github.com/huggingface/huggingface_hub/pull/1234",
"doc_diffs": [
{
"filename": "docs/source/en/guides/cli.md",
"status": "modified",
"patch": "@@ -10,6 +10,10 @@ ..."
}
]
}
The doc_diffs field contains unified diffs for any .md files under docs/ that were
changed in the PR. This is empty ([]) for PRs with no documentation changes.
2. Identify highlights
A PR should be highlighted if:
- It has the
"highlight"label on GitHub, or - You judge it significant enough to deserve a detailed section (e.g., a major new feature, a meaningful UX improvement, or a notable breaking change) even without the label.
Use your judgment — not every feature PR needs a highlight, but don't limit highlights to only labeled PRs. Each highlight section follows this structure:
- Emoji header — e.g.,
## 🖥️ New CLI commands - Prose summary — 2-5 sentences describing the user-visible change in flowing text. Avoid bullet points here; write natural sentences. Only use bullets if the content truly calls for a list (e.g., enumerating 4+ distinct sub-features).
- Code examples — if the PR introduces new commands or APIs, include a fenced code block with a concrete usage example (cherry-pick from doc diffs when available).
- PR attribution lines — one bullet per PR that contributed to this highlight:
- PR title by @author in #1234
What ships with it
5 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.
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.
- 6d ago First seen · 131 lines · 36 tokens per session scan A 59b6d9cf07d3
hf-release-notes is a skill published in the GitHub repository huggingface/huggingface_hub (3,868 stars, last pushed yesterday), licensed Apache-2.0. It adds 36 tokens to every session and 1,418 once invoked, about $0.0002 per session on Opus 5. 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 2026-08-30.
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