Agent skill · Audited from source

huggingface-paper-publisher

skill · huggingface/skillsApache-2.0 licenceAudited 29 Oct 2026 · source 17538af01850

★ 11,233pushed 5 days ago
✓SAFEGrade B · 89/100 · 29 Oct 2026 · 17538af
11,233repo stars · whole huggingface/skills

Is it safe? Yes — SAFE, grade B (89/100). We read this skill's source at commit 17538af01850 and observed network access and no hard-coded secrets. What it does: Publish and manage research papers on Hugging Face Hub. Supports creating paper pages, linking papers to models/datasets, claiming authorship, and generating professional markdown-based research articles.

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Cite this page

ModelsAtlas. “huggingface-paper-publisher (huggingface/skills)”. Retrieved 29 Oct 2026. https://modelsatlas.com/skills/huggingface/huggingface-paper-publisher

Trust audit

Audit 0.4.1 · source read 29 Oct 2026

Trust score89/100✓SAFE B
0 critical0 high0 medium0 low0 info

SAFE means nothing in the source contradicts what the skill says it does. Grade B is shared by 13,985 of 14,816 audited skills.

What the source does

  • FilesystemNone observedNo reads or writes in the source
  • NetworkDeclared3 observations
  • ShellNone observedNo commands run in the source
  • DependenciesPinnedNothing floats
  • SecretsNone foundNo keys in source

Five audit layers

LayerWhat we checkResultFindings
L0 ProvenanceRepo owner, licence, archive status, activityPASS0
L1 Static sourceSecrets, path traversal, supply chain, hidden codePASS0
L2 InstructionsPrompt injection, authority framing, hidden directivesPASS0
L3 InventoryThe files and declarations match the sourcePASS0
L4 SandboxRun in isolation and watch behaviourSKIPPED why0

Gates applied: no behavioural pass.

Findings (0)

No findings at any severity. We re-audit when the source changes.

Audit 0.4.1 · source sha 17538af01850 · 29 Oct 2026Report an issue or request a re-scan

Provenance

Who published it, and what the verdict is pinned to

  • Publisherhuggingface GitHub organizationOwner of the repository this skill is read from
  • Source folderhuggingface/skills/skills/huggingface-paper-publisherThe exact folder we audited
  • LicenceApache-2.0As the repository states it
  • Commit pinned for this verdict17538af01850A new audit runs when the source changes
  • Repository statusNot archivedLast push 5 days ago
  • Sandboxed runNot runSkills are read, not executed; layer L4 is skipped

What it tells the agent

Full source on GitHub ↗

Its description: Publish and manage research papers on Hugging Face Hub. Supports creating paper pages, linking papers to models/datasets, claiming authorship, and generating professional markdown-based research articles.

---
name: huggingface-paper-publisher
description: Publish and manage research papers on Hugging Face Hub. Supports creating paper pages, linking papers to models/datasets, claiming authorship, and generating professional markdown-based research articles.
---

# 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

## 2. Link Papers to Artifacts
- **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

# Usage Instructions

The skill includes Python scripts in `scripts/` for paper publishing operations.

### Prerequisites
- Run scripts with `uv run` (dependencies are resolved from the script header)
- Set `HF_TOKEN` environment variable with Write-access token

> **All paths are relative to the directory containing this SKILL.md
file.**
> Before running any script, first `cd` to that directory or use the full
path.


### Method 1: Index Paper from arXiv

Add a paper to Hugging Face Paper Pages from arXiv.

**Basic Usage:**
```bash
uv run scripts/paper_manager.py index \
  --arxiv-id "2301.12345"
```

**Check If Paper Exists:**
```bash
uv run scripts/paper_manager.py check \
  --arxiv-id "2301.12345"
```

**Direct URL Access:**
You can also visit `https://huggingface.co/papers/{arxiv-id}` directly to index a paper.

### Method 2: Link Paper to Model/Dataset

Add paper references to model or dataset README with proper YAML metadata.

**Add to Model Card:**
```bash
uv run scripts/paper_manager.py link \
  --repo-id "username/model-name" \
  --repo-type "model" \
  --arxiv-id "2301.12345"
```

**Add to Dataset Card:**
```bash
uv run scripts/paper_manager.py link \
  --repo-id "username/dataset-name" \
  --repo-type "dataset" \
  --arxiv-id "2301.12345"
```

**Add Multiple Papers:**
```bash
uv run scripts/paper_manager.py link \
  --repo-id "username/model-name" \
  --repo-type "model" \
  --arxiv-ids "2301.12345,2302.67890,2303.11111"
```

**With Custom Citation:**
```bash
uv run scripts/paper_manager.py link \
  --repo-id "username/model-name" \
  --repo-type "model" \
  --arxiv-id "2301.12345" \
  --citation "$(cat citation.txt)"
```

#### How Linking Works

When you add an arXiv paper link to a model or dataset README:
1. The Hub extracts the arXiv ID from the link
2. A tag `arxiv:<PAPER_ID>` is automatically added to the repository
3. Users can click the tag to view the Paper Page
4. The Paper Page shows all models/datasets citing this paper
5. Papers are discoverable through filters and search

### Method 3: Claim Authorship

Verify your authorship on papers published on Hugging Face.

**Start Claim Process:**
```bash
uv run scripts/paper_manager.py claim \
  --arxiv-id "2301.12345" \
  --email "[email protected]"
```

**Manual Process:**
1. Navigate to your paper's page: `https://huggingface.co/papers/{arxiv-id}`
2. Find your name in the author list
3. Click your name and select "Claim authorship"
4. Wait for admin team verification

**Check Authorship Status:**
```bash
uv run scripts/paper_manager.py check-authorship \
  --arxiv-id "2301.12345"
```

### Method 4: Manage Paper Visibility

Control which verified papers appear on your public profile.

**List Your Papers:**
```bash
uv run scripts/paper_manager.py list-my-papers
```

**Toggle Visibility:**
```bash
uv run scripts/paper_manager.py toggle-visibility \
  --arxiv-id "2301.12345" \
  --show true
```

**Manage in Settings:**
Navigate to your account settings → Papers section to toggle "Show on profile" for each paper.

### Method 5: Create Research Article

Generate a professional markdown-based research paper using modern templates.

**Create from Template:**
```bash
uv run scripts/paper_manager.py create \
  --template "standard" \
  --title "Your Paper Title" \
  --output "paper.md"
```

**Available Templates:**
- `standard` - Traditional scientific paper structure
- `modern` - Clean, web-friendly format inspired by Distill
- `arxiv` - arXiv-style formatting
- `ml-report` - Machine learning experiment report

**Generate Complete Paper:**
```bash

Excerpt, first 6,000 characters of SKILL.md, verbatim from the audited commit. It is text from someone else’s repository, quoted so you can judge it before your agent reads it.

Install

Pinned to the audited commit 17538af

Download folder ↗
uv run scripts/paper_manager.py index \
uv run scripts/paper_manager.py check \
uv run scripts/paper_manager.py link \

Commands as the repository documents them: shown, never run by us. Our verdict covers commit 17538af01850 only.

Works in

The author has not said which agents this skill supports, and we have not tested it in any.

Audit history

Every audit, every source change

  1. ✓SAFE B 89 / 100

    first audit · source 17538af01850

README badge

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ModelsAtlas: SAFE BMODELSATLASSAFE · B
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Questions about huggingface-paper-publisher

What does the huggingface-paper-publisher skill do?
Give your agents the power of the Hugging Face ecosystem
Is huggingface-paper-publisher safe to install?
The audit found nothing in the source that contradicts what it says it does, and graded it B (89/100). Grade A is held back for packages that have also passed a sandboxed behavioural run, which is why a clean skill reads B.
What can huggingface-paper-publisher access on my machine?
The audit observed that it reaches the network. Each of those is consistent with what it says it does. Secrets in the source: none found.
How current is this page?
The grade is for one exact copy of the source (17538af01850), read on 2026-10-29. The repository is watched, and a new audit runs when it changes — this is the first audit.

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