According to AlphaMoat, as of 2026-09, Daily Paper Digest has 2,964 downloads and 11 stars — ranked #3,754 of 5,078 AI skills overall, and #322 of 442 in Knowledge.
| Platform | Installs | Downloads | Stars | Comments |
|---|---|---|---|---|
| ClawHub ↗ | 90 | 2.8K | 10 | - |
| SkillHub ↗ | 213 | 3.0K | 11 | — |
Platforms count differently and update at different times.
The skill describes retrieving paper information from arXiv and Hugging Face, organizing it, and sending it to a chat app. Coverage, freshness, and availability depend on APIs and configuration; no papers were fetched or sent here.
Profile published 2026-10-27
Generated from the skill’s documentation as examples; not results of actual runs.
The counting method changed in 2026-09: skills with the same name are now counted separately by author, and the full catalog is covered. Dashed lines show months before the change; they are not compared with later months, and no growth is computed across the change.
| Month | Downloads | MoM | Stars |
|---|---|---|---|
| 2026-09 | 3.0K | — | 11 |
| 2026-08 | 2.7K | +3.3% | 11 |
| 2026-07 | 2.6K | +11.5% | 11 |
| 2026-06 | 2.3K | +8.8% | 10 |
| 2026-05 | 2.1K | — | 10 |
| 2026-03 | 1.5K | — | 9 |
The author’s original file, shown as plain text without edits or review by AlphaMoat. Links are not clickable; check commands before running them. Fetched 2026-10-23.
---
name: daily-paper-digest
description: 每日 AI 论文速递,自动聚合 arXiv 和 HuggingFace 的最新论文并推送到聊天应用。
version: 1.0.0
metadata:
openclaw:
emoji: "📚"
homepage: https://github.com/your-username/daily-paper-digest
requires:
bins: - python3
- pip3
install:
- kind: uv
package: arxiv
- kind: uv
package: requests
- kind: uv
package: beautifulsoup4
- kind: uv
package: feedparser
---
# 📚 每日 AI 论文速递
每天自动从 arXiv 和 HuggingFace 抓取最新 AI 论文,格式化后推送到你的聊天应用(飞书、Slack、Discord 等)。
## 工具(Tools)
### `fetch_daily_papers`
获取今日最新论文速递。
**用法:**
```bash
python3 main.py
```
**参数:**
- 无(自动读取 `config/sources.json` 中的配置)
**返回:**
- 格式化的论文列表,包含标题、作者、摘要、链接
---
### `search_arxiv_papers`
搜索特定主题的 arXiv 论文。
**用法:**
```bash
python3 arxiv_fetcher.py
```
**参数(在代码中修改):**
- `query`:搜索关键词,如 "large language model"
- `max_results`:最大返回数量(默认 5)
**返回:**
- 匹配的论文列表
---
### `fetch_huggingface_papers`
获取 HuggingFace 每日热门论文。
**用法:**
```bash
python3 huggingface_fetcher.py
```
**参数:**
- 无(直接爬取 `https://huggingface.co/papers`)
**返回:**
- 热门论文列表,含点赞数
---
## 配置
编辑 `config/sources.json` 来自定义信息源和过滤规则:
```json
{
"sources": [
{
"name": "arxiv",
"enabled": true,
"categories": ["cs.AI", "cs.CL", "cs.CV", "cs.LG"],
"max_results": 10
},
{
"name": "huggingface",
"enabled": true,
"max_results": 10
}
],
"filter": {
"keywords": ["LLM", "transformer"],
"exclude_keywords": []
}
}
```
### arXiv 常用分类
| 代码 | 含义 |
|------|------|
| `cs.AI` | 人工智能 |
| `cs.CL` | 计算语言学/NLP |
| `cs.CV` | 计算机视觉 |
| `cs.LG` | 机器学习 |
| `cs.NE` | 神经网络 |
| `cs.RO` | 机器人 |
| `stat.ML` | 统计机器学习 |
---
## 安装与使用
### 1. 安装依赖
```bash
pip3 install -r requirements.txt
```
### 2. 运行测试
```bash
python3 test.py
```
### 3. 获取今日论文
```bash
python3 main.py
```
### 4. 定时自动运行(配合 OpenClaw 调度器)
在 OpenClaw 中配置 Cron 表达式(例如每天 9:00):
```
0 9 * * *
```
---
## 在 OpenClaw 中触发
在聊天应用中发送以下任意内容即可触发:
- `论文速递`
- `今日论文`
- `最新论文`
- `/papers`
- `/digest`
---
## 依赖
- `arxiv` — arXiv 官方 Python 客户端
- `requests` — HTTP 请求
- `beautifulsoup4` — HTML 解析
- `feedparser` — RSS/Atom 解析
---
## 示例输出
```
╔══════════════════════════════════════════════════════════╗
║ 🎓 AI 论文每日速递 - 2026年02月20日 ║
╚══════════════════════════════════════════════════════════╝
📊 今日共收录 15 篇论文
============================================================
📄 论文 1
============================================================
📌 标题: Attention Is All You Need
👥 作者: Ashish Vaswani, Noam Shazeer 等 8 人
🏷️ 来源: ARXIV | 日期: 2026-02-20
📝 摘要:
The dominant sequence transduction models are based on...
🔗 arXiv: http://arxiv.org/abs/1706.03762
📥 PDF: http://arxiv.org/pdf/1706.03762
```
---
## 文件结构
```
daily-paper-digest/
├── SKILL.md ← 本文件(ClawHub 规范)
├── main.py ← 主程序
├── arxiv_fetcher.py ← arXiv 模块
├── huggingface_fetcher.py ← HuggingFace 模块
├── requirements.txt ← Python 依赖
└── config/
├── sources.json ← 默认配置
└── sources_llm.json ← LLM 专用配置
```
A summarizer that condenses long text, documents, and web pages into key points and keywords.
Manage notes and knowledge-base content through the IMA OpenAPI.
A required guide for routing web requests to the right tool.
A skill that searches the web through the Baidu AI Search API.
Calls markitdown through uvx to turn many file types into Markdown.
The default web search for OpenClaw, querying several engines in real time.
A skill that searches web pages, news, images, and videos through DuckDuckGo.
A skill that searches for and discovers available OpenClaw skills.
Data month: 2026-09 · Downloads, stars and installs are aggregated monthly from public skill registries (ClawHub, SkillHub). See methodology.