### Literature Search Biorxiv
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name: "literature-search-biorxiv"
description: "Browse, filter, and download life sciences, biology, and medical preprints from bioRxiv and medRxiv. Supports fetching paper metadata by DOI, and browsing by date range with category and keyword filte..."
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Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionliterature-search-biorxivExecute the skills CLI command in your project's root directory to begin installation:
Fetches literature-search-biorxiv from google-deepmind/science-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 literature-search-biorxiv. Access via /literature-search-biorxiv 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.
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| name | literature-search-biorxiv |
| description | > Browse, filter, and download life sciences, biology, and medical preprints from bioRxiv and medRxiv. Supports fetching paper metadata by DOI, and browsing by date range with category and keyword filters. Keyword filtering is local, so date ranges MUST be narrow (1-4 weeks) with a category to prevent timeouts. |
uv: Read the uv skill and follow its Setup instructions to ensure
uv is installed and on PATH.This skill browses a date-based preprint archive. It is NOT a keyword search engine. Choose your approach based on what you already know:
search_by_doi.py. Fast and
reliable.search_by_dates.py with a 1–4 week
range and --category.CRITICAL ANTI-PATTERN — Do NOT do this: Do NOT attempt to search broad date ranges (months or years) with
--keywordshoping to find a specific paper. The bioRxiv API does not support server-side keyword search. The script must download ALL metadata for the entire date range and filter locally in Python. Broad ranges will result in thousands of API calls, timeouts, and your request being blocked for API abuse. This is the #1 reason this skill fails.
--category filter when searching with
--keywords or --author.--keywords and want to read the abstracts of the resulting
papers to understand their context, you MUST pass the
--include_abstracts flag.> results.json) and parse
the file separately.All tools enforce a cross-process rate limits and retry with backoff on failure.
To ensure you respect terms-of-service, do NOT write custom curl queries.
Pagination: The bioRxiv API returns results in pages of up to 100 papers.
The search_by_dates.py script automatically fetches all pages and reports
pagination progress to stderr (e.g., [Page 2] Fetched 200/543 papers...). The
JSON output to stdout contains the complete filtered result set across all
pages — no manual pagination is needed.
search_by_dates.py)Search for preprints within an explicit date range, optionally filtering by category, keywords, or author.
# Broad category search over a 2-week period
uv run scripts/search_by_dates.py --server biorxiv \
--start_date 2024-01-01 --end_date 2024-01-14 \
--category neuroscience > results.json
# Deep keyword filtering using OR logic and including abstracts
uv run scripts/search_by_dates.py --server medrxiv \
--start_date 2023-11-01 --end_date 2023-11-30 \
--category infectious_diseases \
--keywords "covid" "sars-cov-2" --match_logic OR \
--include_abstracts > covid_papers.json
# Finding papers by a specific author in a narrow window
uv run scripts/search_by_dates.py \
--start_date 2024-05-01 --end_date 2024-05-14 \
--author "Smith" > smith_papers.json
Required Arguments:
--start_date: YYYY-MM-DD--end_date: YYYY-MM-DDOptional Arguments:
--server: biorxiv (default) or medrxiv--category: A valid subject category (see below). Highly recommended —
dramatically reduces the data the script must download and filter.--keywords: List of strings to search in the title/abstract.--match_logic: AND (default) or OR for keywords.--author: Author name (case-insensitive string match).--include_abstracts: Flag to include full abstracts in the JSON output.search_by_doi.py)Retrieve the detailed JSON metadata for a single paper if you already know its DOI. This is the most reliable entry point.
uv run scripts/search_by_doi.py --server biorxiv \
--doi "10.1101/2023.08.15.551388" \
--include_abstracts > paper_info.json
This skill does NOT support PDF downloads. To download the full-text PDF of a bioRxiv or medRxiv preprint, use the
literature-search-europepmcskill. First, use the paper's DOI to look up its PMCID via EuropePMC, then use EuropePMC's PDF retrieval to download the document.
You can pass these to the --category flag in search_by_dates.py. The script
will strictly validate them.
animal_behavior_and_cognition, biochemistry, bioengineering,
bioinformatics, biophysics, cancer_biology, cell_biology,
clinical_trials, developmental_biology, ecology, epidemiology,
evolutionary_biology, genetics, genomics, immunology, microbiology,
molecular_biology, neuroscience, paleontology, pathology,
pharmacology_and_toxicology, physiology, plant_biology,
scientific_communication_and_education, synthetic_biology,
systems_biology, zoology
addiction_medicine, allergy_and_immunology, anesthesia,
cardiovascular_medicine, dentistry_and_oral_medicine, dermatology,
emergency_medicine, endocrinology, epidemiology, forensic_medicine,
gastroenterology, genetic_and_genomic_medicine, health_informatics,
health_economics_and_outcomes_research, health_policy,
health_systems_and_quality_improvement, hematology, hiv_aids,
infectious_diseases, intensive_care_and_critical_care_medicine,
medical_education, medical_ethics, nephrology, neurology, nursing,
nutrition, obstetrics_and_gynecology,
occupational_and_environmental_health, oncology, ophthalmology,
orthopedics, otolaryngology, pain_medicine, palliative_care,
pathology, pediatrics, pharmacology_and_therapeutics,
primary_care_research, psychiatry_and_clinical_psychology,
public_and_global_health, radiology_and_imaging,
rehabilitation_medicine_and_physical_therapy, respiratory_medicine,
rheumatology, sexual_and_reproductive_health, sports_medicine, surgery,
toxicology, transplantation, urology
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.
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literature-search-biorxiv has been reliable in day-to-day use. Documentation quality is above average for community skills.
literature-search-biorxiv reduced setup friction for our internal harness; good balance of opinion and flexibility.
Registry listing for literature-search-biorxiv matched our evaluation — installs cleanly and behaves as described in the markdown.
literature-search-biorxiv is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
Useful defaults in literature-search-biorxiv — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
Useful defaults in literature-search-biorxiv — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
literature-search-biorxiv is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
We added literature-search-biorxiv from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
literature-search-biorxiv fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
Solid pick for teams standardizing on skills: literature-search-biorxiv is focused, and the summary matches what you get after install.
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