Papers
Pull arXiv and Semantic Scholar literature—with citation chains and PDF-to-markdown extraction—for reviews before you build ML features or write technical content.
Install
npx skills add https://github.com/athola/claude-night-market --skill papersWhat is this skill?
- Six-source priority stack: arXiv, Semantic Scholar, Unpaywall, CORE, PubMed Central, author preprints
- Semantic Scholar citation graphs (documented 100 req / 5 min)
- Explicit When NOT To Use: discourse vs code-search skills
- PDF pipeline prefers markitdown MCP convert_to_markdown, then Read-tool fallback
- Depends on leyline:document-conversion protocol (~350 estimated tokens in metadata)
Adoption & trust: 1 installs on skills.sh; 304 GitHub stars; 2/3 security scanners passed (skills.sh audits); trending (+100% hot-view momentum).
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Journey fit
Primary fit
Formal literature discovery is anchored in Idea research, but the same search loop supports build-time R&D and ship-phase evidence for security or ML claims. Competitor and technology discovery via peer-reviewed sources fits the research subphase rather than generic web discourse or code search.
Common Questions / FAQ
Is Papers safe to install?
skills.sh reports 2 of 3 security scanners passed. Review the Security Audits panel on this page before installing in production.
SKILL.md
READMESKILL.md - Papers
# Academic Papers Search ## When To Use - Finding academic papers, citations, or formal research - Building literature reviews or citation chains ## When NOT To Use - Community opinions (use `/tome:discourse`) - Code implementations (use `/tome:code-search`) Search arXiv, Semantic Scholar, and open-access sources. ## Sources (Priority Order) 1. arXiv API (free, unlimited metadata) 2. Semantic Scholar API (100 req/5min, citation graphs) 3. Unpaywall (legal free version discovery) 4. CORE.ac.uk (open-access aggregator) 5. PubMed Central (biomedical) 6. Author preprint pages (WebSearch fallback) ## PDF Processing After acquiring a paper URL or local file path, convert the PDF to markdown for better extraction quality. ### Conversion (prefer markitdown) Apply the `leyline:document-conversion` protocol: 1. **Try markitdown first**: call the MCP `convert_to_markdown` tool with the PDF URL or `file://` path. This produces structured markdown preserving tables, equations, figures, and section hierarchy. 2. **Fall back to Read tool** if markitdown is unavailable: - Read with `pages: "1-20"` for the first chunk - Continue with `pages: "21-40"` for longer papers - Continue in 20-page increments as needed - Note: tables and figures will not extract as cleanly ### Extraction Targets From the converted markdown, extract: - Abstract and key findings - Methodology and experimental setup - Results tables and figures - Citation information (authors, year, venue) - Key equations or formal definitions ## Fallback Guidance When a paper is paywalled and no open version exists: - Public library JSTOR/ProQuest access via library card - DeepDyve article rental - Inter-library loan request - Direct author email template