據 AlphaMoat 統計,截至 2026-09,Academic Paper Fetcher 累計下載 3,701 次、獲 4 個星標,在全部 5,078 個 AI 技能中排名第 2,902 位,在「專業領域」分類(465 個)中排名第 237 位。

累計安裝

314

累計下載

3701

星標

全站排名

#2,902

全站前 58% · 「專業領域」前 51%

平台	累計安裝	累計下載	星標	評論
ClawHub ↗	101	3497	3	-
SkillHub ↗	314	3701	4	—

各平台的計數口徑不同,統計時間不一致。

這個技能是做什麼的

解析 DOI，訪問配置服務，將取得的 PDF 以規範檔名儲存在本地論文目錄。DOI 會發往外部。僅在明確需要該獲取方式時使用，指定受控目錄，並將下載檔案視為不可信。找不到論文或下載失敗應如實報告。

資料釋出於 2026-10-27

可以用來做什麼

規劃按 DOI 獲取論文

什麼時候用

明確需要所述服務與下載方式時

示例提示詞

以下是根據技能文件生成的示例,不代表實際執行結果。

檢查 DOI 與獲取方式，選擇隔離輸出目錄，失敗時如實報告，不聲稱已下載。

月度資料趨勢

累計下載3701

星標4

2026-09 起統計方法調整:同名技能按作者分別統計,並覆蓋全部技能。圖中虛線為調整前的月份,與之後的資料不直接比較,也不計算跨越調整的增長。

月份	累計下載	環比	星標
2026-09	3701	—	4
2026-08	3292	+8.6%	4
2026-07	3032	+13.5%	4
2026-06	2672	+8.3%	4
2026-05	2467	—	4
2026-03	1680	—	3

SKILL.md 原文

以下是作者釋出的原始檔案,按純文字顯示,本站未做修改或稽核;其中的連結不可點選,命令請核實後再執行。抓取於 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

展開全部(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/