paper-lookup

K-Dense-AI/scientific-agent-skills · updated Jun 4, 2026

MDX-style export adds YAML metadata + attribution linking explainx.ai and this canonical listing URL.

$npx skills add https://github.com/K-Dense-AI/scientific-agent-skills --skill paper-lookup
0 commentsdiscussion
summary

### Paper Lookup

  • 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, ..."
skill.md
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.

Paper Lookup

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.

Core Workflow

  1. 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.

  2. 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.

  3. 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.

  4. Make the API call(s) -- See the Making API Calls section below for which HTTP fetch tool to use on your platform.

  5. Return results -- Always return:

    • The raw JSON (or parsed XML for arXiv) response from each database
    • A list of databases queried with the specific endpoints used
    • If a query returned no results, say so explicitly rather than omitting it

Database Selection Guide

Match the user's intent to the right database(s).

By Use Case

User is asking about...Primary database(s)Also consider
Papers on a biomedical topicPubMedSemantic Scholar, OpenAlex
Full text of a biomedical articlePMCCORE
Biology preprintsbioRxivSemantic Scholar, OpenAlex
Health/medical preprintsmedRxivSemantic Scholar, OpenAlex
Physics, math, or CS preprintsarXivSemantic Scholar, OpenAlex
Papers across all fieldsOpenAlexSemantic Scholar, Crossref
A specific paper by DOICrossrefUnpaywall, Semantic Scholar
Open access PDF for a paperUnpaywallCORE, PMC
Citation graph (who cites whom)Semantic ScholarOpenAlex
Author's publicationsSemantic ScholarOpenAlex
Paper recommendationsSemantic Scholar--
Full text (any field)COREPMC (biomedical only)
Journal/publisher metadataCrossrefOpenAlex
Funder informationCrossrefOpenAlex
Convert between PMID/PMCID/DOIPMC (ID Converter)Crossref
Recent preprints by datebioRxiv, medRxivarXiv

Cross-Database Queries

User is asking about...Databases to query
Everything about a paper (metadata + citations + OA)Crossref + Semantic Scholar + Unpaywall
Comprehensive literature searchPubMed + OpenAlex + Semantic Scholar
Find and read a paperPubMed (find) + Unpaywall (OA link) + PMC or CORE (full text)
Preprint and its published versionbioRxiv/medRxiv + Crossref
Author overview with citation metricsSemantic 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.

Common Identifier Formats

Different databases use different identifier systems. If a query fails, the identifier format may be wrong.

IdentifierFormatExampleUsed by
DOI10.xxxx/xxxxx10.1038/nature12373All databases
PMIDInteger34567890PubMed, PMC, Semantic Scholar
PMCIDPMC + digitsPMC7029759PMC, Europe PMC
arXiv IDYYMM.NNNNN2103.15348arXiv, Semantic Scholar
OpenAlex IDW + digitsW2741809807OpenAlex
Semantic Scholar ID40-char hex649def34f8be...Semantic Scholar
ORCID0000-XXXX-XXXX-XXXX0000-0001-6187-6610OpenAlex, Crossref
ISSNXXXX-XXXX0028-0836Crossref, 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.

API Keys and Access

Most of these databases are fully open. A few benefit from API keys for higher rate limits.

Databases requiring or benefiting from API keys

DatabaseEnv VariableRequired?Registration
NCBI (PubMed, PMC)NCBI_API_KEYNo (3 req/s without, 10 with)https://www.ncbi.nlm.nih.gov/account/settings/
CORECORE_API_KEYYes for full texthttps://core.ac.uk/services/api
Semantic ScholarS2_API_KEYNo (shared pool without)https://www.semanticscholar.org/product/api#api-key-form
OpenAlexOPENALEX_API_KEYRecommendedhttps://openalex.org/settings/api

Fully open databases (no key needed)

DatabaseNotes
bioRxiv / medRxivNo auth, no documented rate limits
arXivNo auth, max 1 request per 3 seconds
CrossrefNo auth; add mailto param for polite pool (2x rate limit)
UnpaywallNo auth; requires email parameter

Loading API keys

  1. Check the environment first -- the key may already be exported (e.g., $NCBI_API_KEY).
  2. Fall back to .env -- check .env in the current working directory.
  3. Proceed without -- most APIs still work at lower rate limits. Tell the user which key is missing and how to get one.

Making API Calls

Use your environment's HTTP fetch tool to call REST endpoints:

PlatformHTTP Fetch ToolFallback
Claude CodeWebFetchcurl via Bash
Gemini CLIweb_fetchcurl via shell
Windsurfread_url_contentcurl via terminal
CursorNo dedicated fetch toolcurl via run_terminal_cmd
Codex CLINo dedicated fetch toolcurl via shell
ClineNo dedicated fetch toolcurl via execute_command

If the fetch tool fails, fall back to curl via whatever shell tool is available.

Special cases

  • arXiv returns Atom XML, not JSON. Parse it or use curl and extract the relevant fields. Consider piping through a simple parser if available.
  • PMC eFetch returns JATS XML for full text. This is expected -- full text articles are in XML format.
  • Crossref and Unpaywall benefit from including a mailto parameter or email for the polite/fast pool.

Request guidelines

  • For NCBI APIs (PubMed, PMC): max 3 req/sec without key, 10 with key. Make requests sequentially.
  • For arXiv: max 1 request every 3 seconds. Be patient.
  • For Crossref: 5 req/sec (public), 10 req/sec (polite pool with mailto).
  • For other APIs with no strict limits, you can query multiple databases in parallel.
  • If you get HTTP 429 (rate limit), wait briefly and retry once.

Error recovery

  1. Check the identifier format -- use the Common Identifier Formats table. A PMID won't work in arXiv, an arXiv ID won't work in PubMed directly.
  2. Try alternative identifiers -- if a DOI fails in one database, try the title or PMID instead.
  3. Try a different database -- if PubMed returns nothing for a CS paper, try Semantic Scholar or OpenAlex.
  4. Report the failure -- tell the user which database failed, the error, and what you tried instead.

Output Format

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.

Available Databases

Read the relevant reference file before making any API call.

Biomedical Literature

DatabaseReference FileWhat it covers
PubMedreferences/pubmed.md37M+ biomedical citations, abstracts, MeSH terms
PMCreferences/pmc.md10M+ full-text biomedical articles (JATS XML), ID conversion

Preprint Servers

DatabaseReference FileWhat it covers
bioRxivreferences/biorxiv.mdBiology preprints (browse by date/DOI, no keyword search)
medRxivreferences/medrxiv.mdHealth sciences preprints (browse by date/DOI, no keyword search)
arXivreferences/arxiv.mdPhysics, math, CS, biology, economics preprints (keyword search, Atom XML)

Multidisciplinary Indexes

DatabaseReference FileWhat it covers
OpenAlexreferences/openalex.md250M+ works, authors, institutions, topics, citation data
Crossrefreferences/crossref.md150M+ DOI metadata, journals, funders, references
Semantic Scholarreferences/semantic-scholar.md200M+ papers, citation graphs, AI-generated TLDRs, recommendations

Open Access & Full Text

DatabaseReference FileWhat it covers
COREreferences/core.md37M+ full texts from OA repositories worldwide
Unpaywallreferences/unpaywall.mdOA status and PDF links for any DOI
how to use paper-lookup

How to use paper-lookup on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your development machine
  • Node.js version 16.0+ with npm package manager (verify with node --version)
  • Active project directory or workspace where you want to add paper-lookup
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/K-Dense-AI/scientific-agent-skills --skill paper-lookup

The skills CLI fetches paper-lookup from GitHub repository K-Dense-AI/scientific-agent-skills and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/paper-lookup

Reload or restart Cursor to activate paper-lookup. Access the skill through slash commands (e.g., /paper-lookup) or your agent's skill management interface.

Security & Verification Notice

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 development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

List & Monetize Your Skill

Submit your Claude Code skill and start earning

GET_STARTED →

Use Cases

Task Automation & Efficiency

Automate repetitive workflows and reduce manual effort

Example

Generate reports, summarize documents, draft communications

Save 3-5 hours per week on routine tasks

Knowledge Enhancement

Learn new skills, understand complex topics, get expert guidance

Example

Explain concepts, provide examples, suggest learning resources

Accelerate learning and skill development by 2x

Quality Improvement

Enhance output quality through reviews, suggestions, and refinements

Example

Review drafts, suggest improvements, catch errors

Improve work quality by 30-40% with less effort

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client with skill support
  • Clear understanding of task or problem to solve
  • Willingness to iterate and refine outputs

Time Estimate

15-45 minutes depending on use case complexity

Installation Steps

  1. 1.Install skill using provided installation command
  2. 2.Test with simple use case relevant to your work
  3. 3.Evaluate output quality and relevance
  4. 4.Iterate on prompts to improve results
  5. 5.Integrate into regular workflow if valuable

Common Pitfalls

  • Expecting perfect results without iteration
  • Not providing enough context in prompts
  • Using skill for tasks outside its intended scope
  • Accepting outputs without review and validation

Best Practices

✓ Do

  • +Start with clear, specific prompts
  • +Provide relevant context and constraints
  • +Review and refine all outputs before using
  • +Iterate to improve output quality
  • +Document successful prompt patterns

✗ Don't

  • Don't use without understanding skill limitations
  • Don't skip validation of outputs
  • Don't share sensitive information in prompts
  • Don't expect skill to replace human judgment

💡 Pro Tips

  • Be specific about desired format and style
  • Ask for multiple options to choose from
  • Request explanations to understand reasoning
  • Combine AI efficiency with human expertise

When to Use This

✓ 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.

Learning Path

  1. 1Familiarize yourself with skill capabilities and limitations
  2. 2Start with low-risk, non-critical tasks
  3. 3Progress to more complex and valuable use cases
  4. 4Build expertise through regular use and experimentation

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.
general reviews

Ratings

4.762 reviews
  • Zara Brown· Dec 24, 2024

    Keeps context tight: paper-lookup is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Yuki Chen· Dec 16, 2024

    Solid pick for teams standardizing on skills: paper-lookup is focused, and the summary matches what you get after install.

  • Zara Anderson· Dec 12, 2024

    We added paper-lookup from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Evelyn Choi· Dec 4, 2024

    paper-lookup has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Emma Gill· Dec 4, 2024

    Keeps context tight: paper-lookup is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Nikhil Jain· Nov 23, 2024

    Solid pick for teams standardizing on skills: paper-lookup is focused, and the summary matches what you get after install.

  • Nikhil Kapoor· Nov 11, 2024

    I recommend paper-lookup for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Fatima Sethi· Nov 7, 2024

    paper-lookup has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Camila Jackson· Nov 3, 2024

    Useful defaults in paper-lookup — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Fatima Dixit· Oct 26, 2024

    paper-lookup fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

showing 1-10 of 62

1 / 7