No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by drpwchen · Claude Skill · ★ 57
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is paper-fetch safe to install? View the security audit →
paper-fetch — a publisher-aware full-text PDF fetcher Give it a DOI; it walks a route ladder to get the full-text PDF the cheapest, most legitimate way first — open access, then official publisher text-mining (TDM) APIs, then your own institutional library proxy, and finally it just prints your library's resolver link so you can finish by hand. Every route is one you're already allowed to use; there is no Sci-Hub fallback here. It's the download end of a small paper pipeline — the piece that was missing longest, because it's the one that fights publishers: bash 30 seconds to first PDF (the OA route needs zero keys — just your email in config.yaml) git clone https://github.com/drpwchen/paper-fetch && cd paper-fetch pip install -r requirements.txt && cp config.example.yaml config.yaml # set unpaywallemail
| Stars | 57 |
| Forks | 7 |
| Language | Python |
| Category | Claude Skill |
| License | MIT |
| Quality Score | 66.5802654142438/100 |
| Last Updated | 2026-08-22 |
| Created | 2026-07-10 |
| Platforms | claude-code, python |
| Est. Tokens | ~17k |
These tools work well together with paper-fetch for enhanced workflows:
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paper-fetch is Publisher-aware full-text PDF fetcher — DOI in, PDF out via OA → publisher TDM APIs → your own institutional proxy. Download end of a paper pipeline; pair with paper-radar (discovery) and paper-review. It is categorized as a Claude Skill with 57 GitHub stars.
paper-fetch is primarily written in Python. It covers topics such as academic-research, claude-code, doi.
You can find installation instructions and usage details in the paper-fetch GitHub repository at github.com/drpwchen/paper-fetch. The project has 57 stars and 7 forks, indicating an active community.
paper-fetch is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to paper-fetch on Agent Skills Hub include paper-fetch, ref-downloader, ai-research-skills. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: