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 Agents365-ai · Claude Skill · ★ 174
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is paper-fetch safe to install? View the security audit →
paper-fetch — Legal Open-Access PDF Downloader 中文文档 What it does Downloads paper PDFs from a DOI (or batch file of DOIs) via legal open-access sources 5-source fallback chain: Unpaywall → Semantic Scholar → arXiv → PubMed Central OA → bioRxiv/medRxiv Zero dependencies — pure Python standard library, no needed Auto-named output — Batch mode — pass a file of DOIs with , or pipe them in with Agent-native — stable JSON envelope on stdout, NDJSON progress on stderr, machine-readable subcommand, TTY-aware format default, idempotent retries via , typed exit codes (///), partial-success batches with retry hints Safely retriable — re-running skips already-downloaded files; replays the exact envelope without any network I/O Never touches Sci-Hub or any paywall-bypass service — if no OA copy exists, reports failure with metadata so you can go through ILL Self-updating — when installed via , each invocation spawns a detached background (throttled to once per 24h). Zero user action required. Disable with . Discipline Coverage The skill is discipline-agnostic — it works for any field, not just life sciences or computer science. Coverage depends on whether the paper has a legal OA
| Stars | 174 |
| Forks | 10 |
| Language | Python |
| Category | Claude Skill |
| License | MIT |
| Quality Score | 73.7028979407712/100 |
| Last Updated | 2026-07-16 |
| Created | 2026-04-08 |
| Platforms | claude-code, python |
| Est. Tokens | ~15k |
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paper-fetch is DOI → PDF resolver with 7-source fallback (Unpaywall, S2, arXiv, PMC, bioRxiv, publisher, Sci-Hub). Multi-agent, zero-deps Python.. It is categorized as a Claude Skill with 174 GitHub stars.
paper-fetch is primarily written in Python. It covers topics such as academic, agent-skill, agent-skills.
You can find installation instructions and usage details in the paper-fetch GitHub repository at github.com/Agents365-ai/paper-fetch. The project has 174 stars and 10 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 auto-paper-collecter, nature-academic-search, 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: