据 AlphaMoat 统计,截至 2026-09,Academic Paper Fetcher 累计下载 3,701 次、获 4 个星标,在全部 5,078 个 AI 技能中排名第 2,902 位,在「专业领域」分类(465 个)中排名第 237 位。

累计安装

314

累计下载

3,701

星标

全站排名

#2,902

全站前 58% · 「专业领域」前 51%

平台	累计安装	累计下载	星标	评论
ClawHub ↗	101	3,497	3	-
SkillHub ↗	314	3,701	4	—

各平台的计数口径不同,统计时间不一致。

这个技能是做什么的

解析 DOI，访问配置服务，将取得的 PDF 以规范文件名保存在本地论文目录。DOI 会发往外部。仅在明确需要该获取方式时使用，指定受控目录，并将下载文件视为不可信。找不到论文或下载失败应如实报告。

资料发布于 2026-10-27

可以用来做什么

规划按 DOI 获取论文

什么时候用

明确需要所述服务与下载方式时

示例提示词

以下是根据技能文档生成的示例,不代表实际运行结果。

检查 DOI 与获取方式，选择隔离输出目录，失败时如实报告，不声称已下载。

月度数据趋势

累计下载3,701

星标4

2026-09 起统计方法调整:同名技能按作者分别统计,并覆盖全部技能。图中虚线为调整前的月份,与之后的数据不直接比较,也不计算跨越调整的增长。

月份	累计下载	环比	星标
2026-09	3,701	—	4
2026-08	3,292	+8.6%	4
2026-07	3,032	+13.5%	4
2026-06	2,672	+8.3%	4
2026-05	2,467	—	4
2026-03	1,680	—	3

SKILL.md 原文

以下是作者发布的原始文件,按纯文本显示,本站未做修改或审核;其中的链接不可点击,命令请核实后再运行。抓取于 2026-10-23。

2.5 KB · ClawHub v1.0.0

---
name: paper-fetcher
description: Fetch academic papers from Sci-Hub given a DOI. Automatically downloads PDFs and saves them to research/papers/ with clean filenames. Use when the user provides a DOI or requests a paper from PubMed.
---

# Paper Fetcher

Automated academic paper retrieval from Sci-Hub.

## Usage

展开全部(共 112 行)


**Simple fetch:**
```
Get paper: 10.1038/nature12345
```

**Multiple papers:**
```
Fetch these papers:
- 10.1016/j.cell.2023.01.001
- 10.1038/s41586-2023-06789-0
- 10.1126/science.abc1234
```

**With context:**
```
Get the epitalon paper: 10.1007/s12603-011-0032-7
```

## What It Does

1. Takes DOI as input
2. Navigates to https://www.sci-hub.su/DOI
3. Downloads the PDF
4. Saves to `research/papers/` with clean filename
5. Returns confirmation with file path

## Output Location

```
workspace/
└── research/
    └── papers/
        ├── paper_10.1038_nature12345.pdf
        ├── paper_10.1016_j.cell.2023.01.001.pdf
        └── ...
```

## Filename Format

`paper_[DOI with slashes replaced].pdf`

Examples:
- DOI: `10.1038/nature12345` → `paper_10.1038_nature12345.pdf`
- DOI: `10.1016/j.cell.2023.01.001` → `paper_10.1016_j.cell.2023.01.001.pdf`

## Workflow

When user provides a DOI:

1. **Extract DOI** - Parse from message (with or without https://doi.org/ prefix)
2. **Navigate Sci-Hub** - Use browser to load https://www.sci-hub.su/DOI
3. **Wait for PDF** - Let page load and find download link
4. **Download** - Save PDF to research/papers/
5. **Confirm** - Report success with file path

## Error Handling

**If paper not found on Sci-Hub:**
- Report that Sci-Hub couldn't find it
- Suggest checking the DOI format
- User can try manual search

**If download fails:**
- Report the error
- Provide Sci-Hub URL for manual download

## Integration

**With Obsidian Sync:**
- Papers saved in research/papers/
- Can create notes linking to PDFs
- Sync metadata to Obsidian vault

**With Research Automation:**
- Fetch papers discovered in research runs
- Build reference library automatically
- Cross-reference with protocol notes

## Tips

**Finding DOIs:**
- PubMed: Listed in article details
- Paper itself: Usually on first page
- Google Scholar: In citation info

**Format flexibility:**
- With prefix: `https://doi.org/10.1038/nature12345` ✅
- Without prefix: `10.1038/nature12345` ✅
- Either format works

**Batch fetching:**
- Send multiple DOIs at once
- Processed sequentially
- All saved to research/papers/

---

**Status:** Active  
**Sci-Hub Domain:** https://www.sci-hub.su  
**Save Location:** research/papers/