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...
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]
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: