Leaderboard/Research/paper-fetch
Last commit on June 24, 2026·Created on April 8, 2026

Agents365-ai/paper-fetch

Resolves a paper title or DOI to a PDF through seven sources.
Combined rank
#451
across all skills
In Research
#27
category rank
Stars
168
+2.4% in last 7d
Forks
10
+11.1% in last 7d
Watchers
0
0 watchers in last 7d
Traction scoreGitHub stars can be faked, so popularity alone can be misleading. Traction Score looks for broader signs of real attention, adoption, and active maintenance.
Description

Paper-fetch takes a DOI, an arXiv ID, or a paper title and walks a priority chain of open-access and institutional sources until it finds the PDF. It helps researchers, literature reviewers, and AI agents who need reliable paper access without manually hunting across Unpaywall, Semantic Scholar, arXiv, PubMed Central, bioRxiv, publisher sites, and Sci-Hub mirrors. A dedicated institutional mode adds a rate-limited publisher-direct fallback for subscribers.

WHO IT'S FOR
Researchers and academics
download papers from DOIs or titles
AI agent power users
fetch papers automatically through AI assistants
Institutional research support staff
provide paper access for patrons using subscriptions
Literature review pipeline developers
automate bulk paper retrieval for analysis
30 Days of GitHub Stars
+23 stars
↑ 15.9% monthly change
Jul 7Jul 14Jul 21Jul 28Aug 5
Compatibility & Install
1 Skill · 6 Compatible agents · 3 categories · 1 install path
Compatible agents
Claude CodeCodexCursorOpenClawCopilotHermes
Categories
ResearchAutomationScience
Install via
NPX Skills Add
Repository instructions
Also in this category
4 of 29