According to AlphaMoat, as of 2026-09, Academic Paper Fetcher has 3,701 downloads and 4 stars — ranked #2,902 of 5,078 AI skills overall, and #237 of 465 in Professional.
| Platform | Installs | Downloads | Stars | Comments |
|---|---|---|---|---|
| ClawHub ↗ | 101 | 3.5K | 3 | - |
| SkillHub ↗ | 314 | 3.7K | 4 | — |
Platforms count differently and update at different times.
It parses DOI inputs, navigates the configured service and saves retrieved PDFs in a local paper directory with normalized filenames. The DOI is sent externally. Use only where this retrieval method is intended, set a controlled output directory and treat downloaded files as untrusted. Report missing papers or failed downloads accurately.
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 | 3.7K | — | 4 |
| 2026-08 | 3.3K | +8.6% | 4 |
| 2026-07 | 3.0K | +13.5% | 4 |
| 2026-06 | 2.7K | +8.3% | 4 |
| 2026-05 | 2.5K | — | 4 |
| 2026-03 | 1.7K | — | 3 |
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: 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
**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/
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Data month: 2026-09 · Downloads, stars and installs are aggregated monthly from public skill registries (ClawHub, SkillHub). See methodology.