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🦀 ClawHub

hugging-face daily papers

by @godiao

Fetch and digest HuggingFace Daily Papers. Use when user asks for today's HF papers, daily paper digest, wants a paper report, or says 论文精选/今日论文/HF daily pap...

Versionv1.0.0
Downloads424
TERMINAL
clawhub install hf-daily-papers

📖 About This Skill


name: hf-daily-papers description: "Fetch and digest HuggingFace Daily Papers. Use when user asks for today's HF papers, daily paper digest, wants a paper report, or says 论文精选/今日论文/HF daily papers. Fetches from hf.co/papers via HF API, reads results, scores and generates a formatted digest with commentary."

HF Daily Papers

Fetch papers from HuggingFace Daily Papers feed and generate a digest with analysis.

Setup: Get Your HF Token

1. Go to https://huggingface.co/settings/tokens 2. Create a Read token (any name) 3. Set the token as an environment variable:

# Windows PowerShell
$env:HF_TOKEN = "hf_xxxxxxxxxxxxx"

macOS / Linux / Git Bash

export HF_TOKEN="hf_xxxxxxxxxxxxx"

> The script reads HF_TOKEN from os.environ. If not set, it exits with a clear error message.

Step 1: Run the fetcher

cd /scripts && python hf_papers.py [date YYYY-MM-DD]

  • No date arg = yesterday
  • Output: hf_results.json (saved in the working directory)
  • Step 2: Read results

    Read hf_results.json. Fields:

    | Field | Description | |-------|-------------| | paperId | arXiv ID | | title | Paper title | | votes | Community upvotes | | submittedBy | Submitter name | | organization | Research institution | | summary | Full abstract (cleaned, up to 2000 chars) | | aiSummary | AI-generated summary (200-300 chars, from HF blue box) | | githubRepo | GitHub repo URL if available | | keywords | AI-extracted keywords (up to 10) | | link | HF paper page | | arxivLink | arXiv abstract page |

    Step 3: Score and write digest

    Scoring reference (10-point scale, intuition-based):

    | Dimension | Weight | Bonus signals | |-----------|--------|---------------| | Innovation | 0-3 | New benchmark/dataset, novel direction, first-of-its-kind | | Practicality | 0-3 | Has GitHub code, clear real-world application, big tech/academia | | Technical depth | 0-2 | Summary >200 chars, contains RL/MCTS/evolutionary methods | | Interestingness | 0-2 | Provocative thesis, cross-discipline, counterintuitive |

    High vote count (>10) is a bonus — reflects community heat.

    Step 4: Output format

    📄 HF Daily Papers · [date]  N papers total

    🔴 Must Read (score 8-10)

    [Title | ID | Organization Xiaolongxia comment: ...]

    🟡 Worth Noting (score 6-7)

    [Compact list + one-line evaluation]

    🟢 Skim If Interested

    [Ultra brief list]

    🦞 Summary

    Top 3 + today's main theme observations

    Commentary guidelines:

  • Every "Must Read" paper needs a "Xiaolongxia comment" — explain the core insight in your own words
  • Say why it's worth reading and what makes it special
  • Can connect to other papers or industry trends
  • Tone: casual, witty, friendly — like chatting with a friend
  • "Worth Noting" entries: one sentence max