by Agents365-ai · Claude Skill · ★ 79
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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 | 79 |
| Forks | 6 |
| Language | Python |
| Category | Claude Skill |
| Quality Score | 58.324/100 |
| Open Issues | 1 |
| Last Updated | 2026-05-05 |
| Created | 2026-04-08 |
| Platforms | claude-code, python |
| Est. Tokens | ~16k |
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paper-fetch is Legal open-access PDF downloader by DOI — Unpaywall, arXiv, PMC, bioRxiv. Multi-platform Agent Skill.. It is categorized as a Claude Skill with 79 GitHub stars.
paper-fetch is primarily written in Python. It covers topics such as agent-skills, claude-code, claude-code-skill.
You can find installation instructions and usage details in the paper-fetch GitHub repository at github.com/Agents365-ai/paper-fetch. The project has 79 stars and 6 forks, indicating an active community.
The top alternatives to paper-fetch on Agent Skills Hub include vast-cli, narrator-ai-cli-skill, narrator-ai-cli-skill. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.