paper-downloader
Skill41 starsChanged 8 months agoMITView on GitHub
Download paper PDFs and clone source code repositories from paper_info.json output.
In this repository8 other files it gives its agents.
- code-analyzerSkill
- code-reproducerSkill
- code-writerSkill
- formula2codeSkill
- paper-finderSkill
- paper-parserSkill
- paper-presenterSkill
- result-analyzerSkill
The file
We split this skill into the rules it gives an agent
2 rules. About 0 are common, 1 is distinctive, and 1 is very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈1
Distinctive · estimate
This author's own choices. Worth a look.
1
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 12
After running paper-finder to get paper_info.json
- Distinctive: line 20
Run paper-finder first if needed:
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Paper Downloader Skill
Purpose
Download paper PDFs and clone associated source code repositories. This is the second step in the paper reproduction pipeline, following paper-finder.
When to Use
- After running paper-finder to get paper_info.json
- User asks to "download", "get", or "fetch" a paper's PDF
- User asks to "clone" or "get the code" for a paper
- User asks to "reproduce" a paper (run paper-finder first, then this)
How to Use
Step 1: Ensure paper_info.json exists
Run paper-finder first if needed:
python skills/paper-finder/scripts/search_paper.py "<query>" --output workspace/paper_info.jsonStep 2: Run the Download Script
python skills/paper-downloader/download_paper.py workspace/paper_info.jsonOptions:
--allow-scihub— Enable Sci-Hub as fallback PDF source--clone-depth 0— Full git clone (default: shallow clone)--skip-code— Only download PDF--skip-pdf— Only clone code-o <dir>— Custom output directory
Step 3: Read the Results
Check workspace/<paper-slug>/download_report.json for:
- PDF download status and path
- Code clone status and path
- Step-by-step log
Step 4: Report to User
Tell the user:
- Where the PDF was saved
- Where the code was cloned
- Which dependency files were found in the repo
Dependencies
- Python 3.10+
requestslibrarygitcommand-line tool
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
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- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

