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 skills add metaspartan/cybara --skill huggingface-paper-publishergit clone --depth 1 https://github.com/metaspartan/cybaraWrote 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/metaspartan/cybara/huggingface-paper-publisher)<a href="https://agentmods.dev/skills/metaspartan/cybara/huggingface-paper-publisher"><img src="https://agentmods.dev/badge/skills/metaspartan/cybara/huggingface-paper-publisher/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/metaspartan/cybara/huggingface-paper-publisher"><img src="https://agentmods.dev/badge/skills/metaspartan/cybara/huggingface-paper-publisher.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 | $0.00033 | $0.00245 |
| Opus 5 | $0.00016 | $0.00122 |
| Sonnet 5 | $0.00007 | $0.00049 |
| Haiku 4.5 | $0.00003 | $0.00024 |
Grade A, and why
huggingface-paper-publisher 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 11d 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
Hugging Face Paper Publisher
Prepare a publication package before changing any Hub repository or paper page.
Package
- title, authors, affiliations, abstract, date, and stable paper identifier
- canonical paper file or URL
- code repository and immutable revision
- model and dataset repositories with licenses
- evaluation commands, raw results, hardware, and environment details
- representative figures with alt text and captions
- limitations, safety considerations, and known reproduction gaps
Verify that every linked artifact exists and that reported values match the underlying results. Remove secrets, private URLs, personal data, and local filesystem paths.
Creating repositories, uploading files, changing visibility, or publishing a page is an external side effect. Present the destination, files, metadata, and visibility for confirmation immediately before publishing. Afterward, reopen the public or private result as appropriate and verify links, rendering, and access controls.
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.
- 11d ago First seen · 24 lines · 33 tokens per session scan A d803d7b70cba
huggingface-paper-publisher is a skill published in the GitHub repository metaspartan/cybara (28 stars, last pushed today), licensed MIT. It adds 33 tokens to every session and 245 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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