/install hf-daily-papers
HF Daily Papers
Fetch papers from HuggingFace Daily Papers feed and generate a digest with analysis.
Setup: Get Your HF Token
- Go to https://huggingface.co/settings/tokens
- Create a Read token (any name)
- 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_TOKENfromos.environ. If not set, it exits with a clear error message.
Step 1: Run the fetcher
cd \x3Cskill-path>/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
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install hf-daily-papers - After installation, invoke the skill by name or use
/hf-daily-papers - Provide required inputs per the skill's parameter spec and get structured output
What is hugging-face daily papers?
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... It is an AI Agent Skill for Claude Code / OpenClaw, with 106 downloads so far.
How do I install hugging-face daily papers?
Run "/install hf-daily-papers" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is hugging-face daily papers free?
Yes, hugging-face daily papers is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does hugging-face daily papers support?
hugging-face daily papers is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created hugging-face daily papers?
It is built and maintained by GoDiao (@godiao); the current version is v1.0.0.