{"repo":"p7dotorg/paper7","free":true,"listed":false,"github":"https://github.com/p7dotorg/paper7","clone":"git clone https://github.com/p7dotorg/paper7.git","description":"arXiv papers as clean Markdown for LLMs. 97% smaller than PDF. Zero dependencies. Bash-only.","language":"TypeScript","stars":14,"topics":["academic-papers","ai-tools","arxiv","bash","claude-code","cli","context-window","llm","markdown","mcp"],"license":"MIT","category":"cli-tools","readme_excerpt":"paper7 A research command line for AI agents. Search arXiv, PubMed, and DOIs. Fetch as clean Markdown. Build a wiki. Cite. See it in action → Install The explicit @latest tag keeps the install and npx examples resolving to the current npm release tag. AI Agent Skill paper7 ships with an installable skill that teaches AI coding agents (Claude Code, Cursor, Codex) how to use it. Once installed, your agent can search arXiv or PubMed and fetch papers directly into the conversation. Or manually as a Claude Code slash command: After installing, try prompts like: - paper7 search \"attention mechanism\" — search arXiv - paper7 get 2401.04088 — fetch a compact paper header with summary + section index - paper7 get 2401.04088 --detailed --range 35:67 — fetch just one detailed slice - \"Research whether LoRA or full fine-tuning is better for my use case\" — triggers the research skill Usage Sources paper7 queries one of two sources per search; pick based on the topic: - arxiv (default): physics, computer science, machine learning, math, quantitative biology. Full-text available. - pubmed : biomedical, clinical, and pharmacological literature. Abstracts only (full text on PMC is a separate pipeline). PubMed results use a pmid: prefix on the ID; arXiv IDs keep the native YYMM.NNNNN form. Both coexist in the same local cache. paper7 get doi: covers anything with a DOI — bioRxiv, medRxiv, PsyArXiv, ChemRxiv, journal articles — via Crossref (metadata + abstract). bioRxiv/medRxiv full text isn't ","default_branch":null,"files":null,"tree":[],"storefront":"/r/p7dotorg","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/p7dotorg/paper7/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}