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.
Borrowing it
Nothing to install: this file belongs to huggingface/huggingface_hub. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/huggingface/huggingface_hub/main/.opencode/skills/hf-release-notes/SKILL.mdgit 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/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/skills/huggingface/huggingface_hub/hf-release-notes"><img src="https://agentmods.dev/badge/skills/huggingface/huggingface_hub/hf-release-notes.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 5.5 | $0.00014 | $0.00567 |
| Sonnet 5.5 | $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 2mo 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.
- 2mo 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 (4,033 stars, last pushed yesterday), licensed Apache-2.0. It adds 36 tokens to every session and 1,418 once invoked, about $0.0001 per session on Opus 5.5. 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.
hf-release-notes compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| hf-release-noteshuggingface/huggingface_hub | Skill | 4.0k | yesterday | Apache-2.0 | A | 36 | OpenCode |
| physicsnemo-shard-tensorNVIDIA/physicsnemo | Skill | 3.4k | yesterday | Apache-2.0 | A | 152 | Claude Code, Codex |
| physicsnemo-discoverNVIDIA/physicsnemo | Skill | 3.4k | yesterday | Apache-2.0 | A | 124 | Claude Code, Codex |
| graphsignal-profilergraphsignal/graphsignal-profiler | Skill | 245 | 3mo ago | Apache-2.0 | A | 74 | Claude Code, Codex |
| flow-nexus-neuralruvnet/ruflo | Skill | 81k | yesterday | MIT | A | 21 | Claude Code |
| developing-with-streamlitstreamlit/streamlit | Skill | 46k | yesterday | Apache-2.0 | A | 146 | Claude Code |
| lepton-clileptonai/leptonai | Skill | 2.8k | yesterday | Apache-2.0 | A | 122 | Claude Code |