### Paper Lookup
Works with
name: "paper-lookup"
description: "Search 10 academic paper databases via REST APIs for research papers, preprints, and scholarly articles. Covers PubMed, PMC (full text), bioRxiv, medRxiv, arXiv, OpenAlex, Crossref, Semantic Scholar, ..."
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionpaper-lookupExecute the skills CLI command in your project's root directory to begin installation:
Fetches paper-lookup from K-Dense-AI/scientific-agent-skills and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate paper-lookup. Access via /paper-lookup in your agent's command palette.
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
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Automate repetitive workflows and reduce manual effort
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Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Learn new skills, understand complex topics, get expert guidance
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Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Enhance output quality through reviews, suggestions, and refinements
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Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
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| name | paper-lookup |
| description | Search 10 academic paper databases via REST APIs for research papers, preprints, and scholarly articles. Covers PubMed, PMC (full text), bioRxiv, medRxiv, arXiv, OpenAlex, Crossref, Semantic Scholar, CORE, Unpaywall. Use when searching for papers, citations, DOI/PMID lookups, abstracts, full text, open access, preprints, citation graphs, author search, or any scholarly literature query. Triggers on mentions of any supported database or requests like "find papers on X" or "look up this DOI". |
| metadata | version: "1.0" skill-author: K-Dense Inc. |
You have access to 10 academic paper databases through their REST APIs. Your job is to figure out which database(s) best serve the user's query, call them, and return the results.
Understand the query -- What is the user looking for? A specific paper by DOI? Papers on a topic? An author's publications? Open access PDFs? Full text? This determines which database(s) to hit.
Select database(s) -- Use the database selection guide below. Many queries benefit from hitting multiple databases -- for example, searching PubMed for papers and then checking Unpaywall for open access copies.
Read the reference file -- Each database has a reference file in references/ with endpoint details, query formats, and example calls. Read the relevant file(s) before making API calls.
Make the API call(s) -- See the Making API Calls section below for which HTTP fetch tool to use on your platform.
Return results -- Always return:
Match the user's intent to the right database(s).
| User is asking about... | Primary database(s) | Also consider |
|---|---|---|
| Papers on a biomedical topic | PubMed | Semantic Scholar, OpenAlex |
| Full text of a biomedical article | PMC | CORE |
| Biology preprints | bioRxiv | Semantic Scholar, OpenAlex |
| Health/medical preprints | medRxiv | Semantic Scholar, OpenAlex |
| Physics, math, or CS preprints | arXiv | Semantic Scholar, OpenAlex |
| Papers across all fields | OpenAlex | Semantic Scholar, Crossref |
| A specific paper by DOI | Crossref | Unpaywall, Semantic Scholar |
| Open access PDF for a paper | Unpaywall | CORE, PMC |
| Citation graph (who cites whom) | Semantic Scholar | OpenAlex |
| Author's publications | Semantic Scholar | OpenAlex |
| Paper recommendations | Semantic Scholar | -- |
| Full text (any field) | CORE | PMC (biomedical only) |
| Journal/publisher metadata | Crossref | OpenAlex |
| Funder information | Crossref | OpenAlex |
| Convert between PMID/PMCID/DOI | PMC (ID Converter) | Crossref |
| Recent preprints by date | bioRxiv, medRxiv | arXiv |
| User is asking about... | Databases to query |
|---|---|
| Everything about a paper (metadata + citations + OA) | Crossref + Semantic Scholar + Unpaywall |
| Comprehensive literature search | PubMed + OpenAlex + Semantic Scholar |
| Find and read a paper | PubMed (find) + Unpaywall (OA link) + PMC or CORE (full text) |
| Preprint and its published version | bioRxiv/medRxiv + Crossref |
| Author overview with citation metrics | Semantic Scholar + OpenAlex |
When a query spans multiple needs (e.g., "find papers about CRISPR and get me the PDFs"), query the relevant databases in parallel.
Different databases use different identifier systems. If a query fails, the identifier format may be wrong.
| Identifier | Format | Example | Used by |
|---|---|---|---|
| DOI | 10.xxxx/xxxxx | 10.1038/nature12373 | All databases |
| PMID | Integer | 34567890 | PubMed, PMC, Semantic Scholar |
| PMCID | PMC + digits | PMC7029759 | PMC, Europe PMC |
| arXiv ID | YYMM.NNNNN | 2103.15348 | arXiv, Semantic Scholar |
| OpenAlex ID | W + digits | W2741809807 | OpenAlex |
| Semantic Scholar ID | 40-char hex | 649def34f8be... | Semantic Scholar |
| ORCID | 0000-XXXX-XXXX-XXXX | 0000-0001-6187-6610 | OpenAlex, Crossref |
| ISSN | XXXX-XXXX | 0028-0836 | Crossref, OpenAlex |
Cross-referencing IDs: Semantic Scholar accepts DOI, PMID, PMCID, and arXiv ID via prefixes (e.g., DOI:10.1038/nature12373, PMID:34567890, ARXIV:2103.15348). OpenAlex accepts DOI and PMID via prefixes (doi:10.1038/..., pmid:34567890). Use the PMC ID Converter to translate between PMID, PMCID, and DOI.
Most of these databases are fully open. A few benefit from API keys for higher rate limits.
| Database | Env Variable | Required? | Registration |
|---|---|---|---|
| NCBI (PubMed, PMC) | NCBI_API_KEY | No (3 req/s without, 10 with) | https://www.ncbi.nlm.nih.gov/account/settings/ |
| CORE | CORE_API_KEY | Yes for full text | https://core.ac.uk/services/api |
| Semantic Scholar | S2_API_KEY | No (shared pool without) | https://www.semanticscholar.org/product/api#api-key-form |
| OpenAlex | OPENALEX_API_KEY | Recommended | https://openalex.org/settings/api |
| Database | Notes |
|---|---|
| bioRxiv / medRxiv | No auth, no documented rate limits |
| arXiv | No auth, max 1 request per 3 seconds |
| Crossref | No auth; add mailto param for polite pool (2x rate limit) |
| Unpaywall | No auth; requires email parameter |
$NCBI_API_KEY)..env -- check .env in the current working directory.Use your environment's HTTP fetch tool to call REST endpoints:
| Platform | HTTP Fetch Tool | Fallback |
|---|---|---|
| Claude Code | WebFetch | curl via Bash |
| Gemini CLI | web_fetch | curl via shell |
| Windsurf | read_url_content | curl via terminal |
| Cursor | No dedicated fetch tool | curl via run_terminal_cmd |
| Codex CLI | No dedicated fetch tool | curl via shell |
| Cline | No dedicated fetch tool | curl via execute_command |
If the fetch tool fails, fall back to curl via whatever shell tool is available.
curl and extract the relevant fields. Consider piping through a simple parser if available.mailto parameter or email for the polite/fast pool.mailto).Structure your response like this:
## Databases Queried
- **PubMed** -- esearch + esummary for "CRISPR gene therapy"
- **Unpaywall** -- DOI lookup for 10.1038/...
## Results
### PubMed
[raw JSON response or formatted results]
### Unpaywall
[raw JSON response]
If results are very large, present the most relevant portion and note that more data is available. But default to showing the full raw JSON -- the user asked for it.
Read the relevant reference file before making any API call.
| Database | Reference File | What it covers |
|---|---|---|
| PubMed | references/pubmed.md | 37M+ biomedical citations, abstracts, MeSH terms |
| PMC | references/pmc.md | 10M+ full-text biomedical articles (JATS XML), ID conversion |
| Database | Reference File | What it covers |
|---|---|---|
| bioRxiv | references/biorxiv.md | Biology preprints (browse by date/DOI, no keyword search) |
| medRxiv | references/medrxiv.md | Health sciences preprints (browse by date/DOI, no keyword search) |
| arXiv | references/arxiv.md | Physics, math, CS, biology, economics preprints (keyword search, Atom XML) |
| Database | Reference File | What it covers |
|---|---|---|
| OpenAlex | references/openalex.md | 250M+ works, authors, institutions, topics, citation data |
| Crossref | references/crossref.md | 150M+ DOI metadata, journals, funders, references |
| Semantic Scholar | references/semantic-scholar.md | 200M+ papers, citation graphs, AI-generated TLDRs, recommendations |
| Database | Reference File | What it covers |
|---|---|---|
| CORE | references/core.md | 37M+ full texts from OA repositories worldwide |
| Unpaywall | references/unpaywall.md | OA status and PDF links for any DOI |
Prerequisites
Time Estimate
15-45 minutes depending on use case complexity
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid when
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
K-Dense-AI/scientific-agent-skills
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Keeps context tight: paper-lookup is the kind of skill you can hand to a new teammate without a long onboarding doc.
Solid pick for teams standardizing on skills: paper-lookup is focused, and the summary matches what you get after install.
We added paper-lookup from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
paper-lookup has been reliable in day-to-day use. Documentation quality is above average for community skills.
Keeps context tight: paper-lookup is the kind of skill you can hand to a new teammate without a long onboarding doc.
Solid pick for teams standardizing on skills: paper-lookup is focused, and the summary matches what you get after install.
I recommend paper-lookup for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
paper-lookup has been reliable in day-to-day use. Documentation quality is above average for community skills.
Useful defaults in paper-lookup — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
paper-lookup fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
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