paper-lookup▌
K-Dense-AI/scientific-agent-skills · updated Jun 4, 2026
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### 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, ..."
| 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
-
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:
- 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 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 |
Cross-Database Queries
| 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.
Common Identifier Formats
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.
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
| 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 |
Fully open databases (no key needed)
| 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 |
Loading API keys
- Check the environment first -- the key may already be exported (e.g.,
$NCBI_API_KEY). - Fall back to
.env-- check.envin the current working directory. - 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:
| 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.
Special cases
- arXiv returns Atom XML, not JSON. Parse it or use
curland 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
mailtoparameter 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
- 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.
- Try alternative identifiers -- if a DOI fails in one database, try the title or PMID instead.
- Try a different database -- if PubMed returns nothing for a CS paper, try Semantic Scholar or OpenAlex.
- 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
| 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 |
Preprint Servers
| 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) |
Multidisciplinary Indexes
| 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 |
Open Access & Full Text
| 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 |
How to use paper-lookup on Cursor
AI-first code editor with Composer
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
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches paper-lookup from GitHub repository K-Dense-AI/scientific-agent-skills and configures it for Cursor.
Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
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
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.Install skill using provided installation command
- 2.Test with simple use case relevant to your work
- 3.Evaluate output quality and relevance
- 4.Iterate on prompts to improve results
- 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▌
- 1Familiarize yourself with skill capabilities and limitations
- 2Start with low-risk, non-critical tasks
- 3Progress to more complex and valuable use cases
- 4Build expertise through regular use and experimentation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.7★★★★★62 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.
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