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hugging-face-paper-publisher拥抱面纸出版商

Agent Skill

hugging-face-paper-publisher 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

5,821

周安装

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安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

3

许可证

MIT

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:hugging-face-paper-publisher(拥抱面纸出版商)
来源仓库:https://github.com/huggingface/skills
仓库路径:skills/hugging-face-paper-publisher
安装命令:
npx skills add https://github.com/huggingface/skills --skill hugging-face-paper-publisher
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。不同来源提供的安装方式可能略有差异;本站展示可直接复制的安装命令,安装前请核对来源页面。

skills.shnpx skills
npx skills add https://github.com/huggingface/skills --skill hugging-face-paper-publisher

简介

用于查找、检索和筛选学术或技术相关资源。

  • 适合在论文撰写、文献调研等场景中辅助信息获取。
  • 通过 GitHub 仓库以 npx 命令方式安装使用。
  • 建议评估其数据访问权限与潜在的网络请求行为。
  • hugging-face-paper-publisher 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

language
license
apache-2.0
tags
library_name
transformers

Model Name

This model is based on the approach described in Our Paper.

Citation

@article{doe2023paper,
  title={Your Paper Title},
  author={Doe, Jane and Smith, John},
  journal={arXiv preprint arXiv:2301.12345},
  year={2023}
}

**Dataset Card Example:**

language: - en license: cc-by-4.0 task_categories: - text-generation - question-answering size_categories: - 10K<n<100K


Dataset Name

Dataset introduced in Our Paper.

For more details, see the paper page.


The Hub automatically extracts arXiv IDs from these links and creates `arxiv:2301.12345` tags.

### Integration Examples

**Workflow 1: Publish New Research**

1. Create research article

uv run scripts/paper_manager.py create \ --template "modern" \ --title "Novel Fine-Tuning Approach" \ --output "paper.md"

2. Edit paper.md with your content

3. Submit to arXiv (external process)

Upload to arxiv.org, get arXiv ID

4. Index on Hugging Face

uv run scripts/paper_manager.py index --arxiv-id "2301.12345"

5. Link to your model

uv run scripts/paper_manager.py link \ --repo-id "your-username/your-model" \ --repo-type "model" \ --arxiv-id "2301.12345"

6. Claim authorship

uv run scripts/paper_manager.py claim \ --arxiv-id "2301.12345" \ --email "your.email@edu"


**Workflow 2: Link Existing Paper**

1. Check if paper exists

uv run scripts/paper_manager.py check --arxiv-id "2301.12345"

2. Index if needed

uv run scripts/paper_manager.py index --arxiv-id "2301.12345"

3. Link to multiple repositories

uv run scripts/paper_manager.py link \ --repo-id "username/model-v1" \ --repo-type "model" \ --arxiv-id "2301.12345"

uv run scripts/paper_manager.py link \ --repo-id "username/training-data" \ --repo-type "dataset" \ --arxiv-id "2301.12345"

uv run scripts/paper_manager.py link \ --repo-id "username/demo-space" \ --repo-type "space" \ --arxiv-id "2301.12345"


**Workflow 3: Update Model with Paper Reference**

1. Get current README

huggingface-cli download username/model-name README.md

2. Add paper link

uv run scripts/paper_manager.py link \ --repo-id "username/model-name" \ --repo-type "model" \ --arxiv-id "2301.12345" \ --citation "Full citation for the paper"

The script will:

- Add YAML metadata if missing

- Insert arXiv link in README

- Add formatted citation

- Preserve existing content


### Best Practices

1.  **Paper Indexing**
    
    *   Index papers as soon as they're published on arXiv
    *   Include full citation information in model/dataset cards
    *   Use consistent paper references across related repositories
2.  **Metadata Management**
    
    *   Add YAML frontmatter to all model/dataset cards
    *   Include proper licensing information
    *   Tag with relevant task categories and domains
3.  **Authorship**
    
    *   Claim authorship on papers where you're listed as author
    *   Use institutional email addresses for verification
    *   Keep paper visibility settings updated
4.  **Repository Linking**
    
    *   Link papers to all relevant models, datasets, and Spaces
    *   Include paper context in README descriptions
    *   Add BibTeX citations for easy reference
5.  **Research Articles**
    
    *   Use templates consistently within projects
    *   Include code and data links in papers
    *   Generate web-friendly HTML versions for sharing

### Advanced Usage

**Batch Link Papers:**

Link multiple papers to one repository

for arxiv_id in "2301.12345" "2302.67890" "2303.11111"; do uv run scripts/paper_manager.py link \ --repo-id "username/model-name" \ --repo-type "model" \ --arxiv-id "$arxiv_id" done


**Extract Paper Info:**

Get paper metadata from arXiv

uv run scripts/paper_manager.py info \ --arxiv-id "2301.12345" \ --format "json"


**Generate Citation:**

Create BibTeX citation

uv run scripts/paper_manager.py citation \ --arxiv-id "2301.12345" \ --format "bibtex"


**Validate Links:**

Check all paper links in a repository

uv run scripts/paper_manager.py validate \ --repo-id "username/model-name" \ --repo-type "model"


### Error Handling

*   **Paper Not Found**: arXiv ID doesn't exist or isn't indexed yet
*   **Permission Denied**: HF\_TOKEN lacks write access to repository
*   **Invalid YAML**: Malformed metadata in README frontmatter
*   **Authorship Failed**: Email doesn't match paper author records
*   **Already Claimed**: Another user has claimed authorship
*   **Rate Limiting**: Too many API requests in short time

### Troubleshooting

**Issue**: "Paper not found on Hugging Face"

*   **Solution**: Visit `hf.co/papers/{arxiv-id}` to trigger indexing

**Issue**: "Authorship claim not verified"

*   **Solution**: Wait for admin review or contact HF support with proof

**Issue**: "arXiv tag not appearing"

*   **Solution**: Ensure README includes proper arXiv URL format

**Issue**: "Cannot link to repository"

*   **Solution**: Verify HF\_TOKEN has write permissions

**Issue**: "Template rendering errors"

*   **Solution**: Check markdown syntax and YAML frontmatter format

### Resources and References

*   **Hugging Face Paper Pages**: [hf.co/papers](https://huggingface.co/papers)
*   **Model Cards Guide**: [hf.co/docs/hub/model-cards](https://huggingface.co/docs/hub/en/model-cards)
*   **Dataset Cards Guide**: [hf.co/docs/hub/datasets-cards](https://huggingface.co/docs/hub/en/datasets-cards)
*   **Research Article Template**: [tfrere/research-article-template](https://huggingface.co/spaces/tfrere/research-article-template)
*   **arXiv Format Guide**: [arxiv.org/help/submit](https://arxiv.org/help/submit)

### Integration with tfrere's Research Template

This skill complements [tfrere's research article template](https://huggingface.co/spaces/tfrere/research-article-template) by providing:

*   Automated paper indexing workflows
*   Repository linking capabilities
*   Metadata management tools
*   Citation generation utilities

You can use tfrere's template for writing, then use this skill to publish and link the paper on Hugging Face Hub.

### Common Patterns

**Pattern 1: New Paper Publication**

Write → Publish → Index → Link

uv run scripts/paper_manager.py create --template modern --output paper.md

(Submit to arXiv)

uv run scripts/paper_manager.py index --arxiv-id "2301.12345" uv run scripts/paper_manager.py link --repo-id "user/model" --arxiv-id "2301.12345"


**Pattern 2: Existing Paper Discovery**

Search → Check → Link

uv run scripts/paper_manager.py search --query "transformers" uv run scripts/paper_manager.py check --arxiv-id "2301.12345" uv run scripts/paper_manager.py link --repo-id "user/model" --arxiv-id "2301.12345"


**Pattern 3: Author Portfolio Management**

Claim → Verify → Organize

uv run scripts/paper_manager.py claim --arxiv-id "2301.12345" uv run scripts/paper_manager.py list-my-papers uv run scripts/paper_manager.py toggle-visibility --arxiv-id "2301.12345" --show true


### API Integration

**Python Script Example:**

from scripts.paper_manager import PaperManager

pm = PaperManager(hf_token="your_token")

Index paper

pm.index_paper("2301.12345")

Link to model

pm.link_paper( repo_id="username/model", repo_type="model", arxiv_id="2301.12345", citation="Full citation text" )

Check status

status = pm.check_paper("2301.12345") print(status)


### Future Enhancements

Planned features for future versions:

*   Support for non-arXiv papers (conference proceedings, journals)
*   Automatic citation formatting from DOI
*   Paper comparison and versioning tools
*   Collaborative paper writing features
*   Integration with LaTeX workflows
*   Automated figure and table extraction
*   Paper metrics and impact tracking

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

04

需要参考平台分布和安装热度时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Claude Code

26.95%
按下载量换算549

Gemini CLI

26.29%
按下载量换算536

OpenCode

18.8%
按下载量换算383

Antigravity

14.36%
按下载量换算293

Codex

7.97%
按下载量换算162

trae

3.39%
按下载量换算69

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

可疑

权限和风险

敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。

来源信息

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