huggingface-paper-publisher

huggingface-paper-publisher is a skill for Codex from PracticalSwan/agent-skills. It costs 42 tokens per session (4,914 once invoked), scanned A, a copy of hugging-face-paper-publisher, MIT.

A publishing and management tool for research papers on Hugging Face Hub, a platform for sharing machine-learning models, datasets, and related work. It supports paper pages, arXiv linking, author claims, and connections to models and datasets.

In plain words
What is it for?
Use it to publish papers from arXiv, claim authorship, link papers with models or datasets, manage paper visibility, and create research articles in Markdown.
Why use it?
It keeps a paper and its related technical work connected in one place. It also helps authors manage how papers appear and prepare structured research articles.

Skill for Codex

Written for Codex: reads ~/.codex or $CODEX_HOME. Also seen: mentions Claude Code; mentions Codex.

Good fit Use it to publish papers from arXiv, claim authorship, link papers with models or datasets, manage paper visibility, and create research articles in Markdown.

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Install with agentmods
npx agentmods add skills/practicalswan/agent-skills/huggingface-paper-publisher
Install

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.

Any agent
npx skills add PracticalSwan/agent-skills --skill huggingface-paper-publisher
Clone the repo
git clone --depth 1 https://github.com/PracticalSwan/agent-skills

Made for: 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-paper-publisher

README.md
[![agentmods](https://agentmods.dev/badge/skills/practicalswan/agent-skills/huggingface-paper-publisher/github.svg)](https://agentmods.dev/skills/practicalswan/agent-skills/huggingface-paper-publisher)
Your own site
<a href="https://agentmods.dev/skills/practicalswan/agent-skills/huggingface-paper-publisher"><img src="https://agentmods.dev/badge/skills/practicalswan/agent-skills/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.

agentmods 80×15 button for huggingface-paper-publisher

Your own site · 80×15
<a href="https://agentmods.dev/skills/practicalswan/agent-skills/huggingface-paper-publisher"><img src="https://agentmods.dev/badge/skills/practicalswan/agent-skills/huggingface-paper-publisher.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 42 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,914 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin 88% copy Near-identical to another mod 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 $0.00042 $0.04914
Opus 5 $0.00021 $0.02457
Sonnet 5 $0.00008 $0.00983
Haiku 4.5 $0.00004 $0.00491

Measured 3d ago against content hash 63bcb5972835, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

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 3d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/paper_manager.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.

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.

Origin

This is a copy

88% identical to hugging-face-paper-publisher — 1,291 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

huggingface-paper-publisher/SKILL.md · 676 lines

How it starts

The opening of the file, as written. The whole thing — 676 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Overview

This skill provides comprehensive tools for AI engineers and researchers to publish, manage, and link research papers on the Hugging Face Hub. It streamlines the workflow from paper creation to publication, including integration with arXiv, model/dataset linking, and authorship management.

Integration with HF Ecosystem

  • Paper Pages: Index and discover papers on Hugging Face Hub
  • arXiv Integration: Automatic paper indexing from arXiv IDs
  • Model/Dataset Linking: Connect papers to relevant artifacts through metadata
  • Authorship Verification: Claim and verify paper authorship
  • Research Article Template: Generate professional, modern scientific papers

Version

1.0.0

Dependencies

The included script uses PEP 723 inline dependencies. Prefer uv run over manual environment setup.

  • huggingface_hub>=0.26.0
  • pyyaml>=6.0.3
  • requests>=2.32.5
  • markdown>=3.5.0
  • python-dotenv>=1.2.1

Core Capabilities

1. Paper Page Management

  • Index Papers: Add papers to Hugging Face from arXiv
  • Claim Authorship: Verify and claim authorship on published papers
  • Manage Visibility: Control which papers appear on your profile
  • Paper Discovery: Find and explore papers in the HF ecosystem
  • Model Cards: Add paper citations to model metadata
  • Dataset Cards: Link papers to datasets via README
  • Automatic Tagging: Hub auto-generates arxiv:<PAPER_ID> tags
  • Citation Management: Maintain proper attribution and references

3. Research Article Creation

  • Markdown Templates: Generate professional paper formatting
  • Modern Design: Clean, readable research article layouts
  • Dynamic TOC: Automatic table of contents generation
  • Section Structure: Standard scientific paper organization
  • LaTeX Math: Support for equations and technical notation

4. Metadata Management

  • YAML Frontmatter: Proper model/dataset card metadata
  • Citation Tracking: Maintain paper references across repositories
  • Version Control: Track paper updates and revisions
  • Multi-Paper Support: Link multiple papers to single artifacts

Read the full file on GitHub · 676 lines

Files

What ships with it

9 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. 3d ago Changed 63bcb5972835
  2. 5d ago Changed 41230d681b23
  3. 7d ago First seen · 676 lines · 42 tokens per session scan A 5487812ce362

Subscribe to this mod's changes

huggingface-paper-publisher is a skill published in the GitHub repository PracticalSwan/agent-skills (14 stars, last pushed 3d ago), licensed MIT. It adds 42 tokens to every session and 4,914 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 88% identical to hugging-face-paper-publisher, differing in 1,291 lines, and is treated as a copy.

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