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Skills/google-deepmind/science-skills/literature-search-biorxiv
literature-search-biorxiv logo

literature-search-biorxiv

google-deepmind/science-skills
768 installs2K stars
Run it on Hostinger →up to 70% off + an extra 10% with code ZACAARON10Free API →

Installation

npx skills add https://github.com/google-deepmind/science-skills --skill literature-search-biorxiv

Summary

>

SKILL.md

bioRxiv and medRxiv Literature Search

Prerequisites

  1. uv: Read the uv skill and follow its Setup instructions to ensure

uv is installed and on PATH.

  1. User Notification: If LICENSE_NOTIFICATION.txt does not already exist in

this skill directory then (1) prominently notify the user to check the terms at https://api.biorxiv.org/ and https://www.biorxiv.org/content/about-biorxiv and to always check the license of the papers retrieved by the skill for any restrictions, then (2) create the file recording the notification text and timestamp.

Search Strategy Guide (Read First)

This skill browses a date-based preprint archive. It is NOT a keyword search engine. Choose your approach based on what you already know:

  • A DOI (e.g., from a citation): Use search_by_doi.py. Fast and

reliable.

  • Approximate date + category: Use search_by_dates.py with a 1–4 week

range and --category.

  • Only a topic or keywords, no date: **Do NOT use this skill for

discovery.** Use a keyword-capable literature skill first to find relevant DOIs, then return here to fetch metadata.

CRITICAL ANTI-PATTERN — Do NOT do this: Do NOT attempt to search broad date ranges (months or years) with --keywords hoping 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.

Core Rules

  • Use the Wrapper: ALWAYS execute the provided helper scripts to query the

database rather than accessing the database directly. The scripts automatically enforce the required rate limit gracefully.

  • Local Filtering (CRITICAL WARNING): Unlike arXiv, the bioRxiv API **does

not support server-side keyword or author searches*. Keyword and author filtering is performed locally* by the scripts after downloading all metadata for a specified date range. You MUST use narrow date ranges (e.g., 1-4 weeks) AND the --category filter when searching with --keywords or --author.

  • Abstracts Excluded By Default: To save context space in the resulting

JSON, abstracts are stripped from the output by default. If you are searching by --keywords and want to read the abstracts of the resulting papers to understand their context, you MUST pass the --include_abstracts flag.

  • Output Redirection: Search commands output JSON arrays to standard

output. Always redirect output to a file (e.g., > results.json) and parse the file separately.

  • List Sources If this skill is used, ensure this is mentioned in the

output AND list the URLs of all papers that were used in producing the output.

Utility Scripts

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.

1. Search by Dates (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-DD

Optional 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.

2. Fetch Metadata by DOI (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

Downloading Full-Text PDFs

This skill does NOT support PDF downloads. To download the full-text PDF of a bioRxiv or medRxiv preprint, use the literature-search-europepmc skill. First, use the paper's DOI to look up its PMCID via EuropePMC, then use EuropePMC's PDF retrieval to download the document.

Valid Subject Categories

You can pass these to the --category flag in search_by_dates.py. The script will strictly validate them.

bioRxiv Categories:

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

medRxiv Categories:

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

Score

0–100
57/ 100

Grade

C

Popularity17/30

768 installs — growing adoption. Source repo has 1,889 GitHub stars.

Completeness19/30

Documented: full SKILL.md body, one-line install. Missing: description, category/license metadata.

Trust15/25

Community skill with a public GitHub source repository you can review.

Freshness6/15

No update timestamp is tracked for this skill in our catalog.

Scored automatically from popularity, completeness, trust, and freshness — computed only from data in our catalog, never fabricated.

Proud of your score? Add this badge to your README.

Paste a snippet into your GitHub README. The badge updates automatically and links back to this page.

Literature Search Biorxiv skill score badge previewScore badge

Markdown

[![Literature Search Biorxiv skill](https://www.remoteopenclaw.com/skills/google-deepmind/science-skills/literature-search-biorxiv/badges/score.svg)](https://www.remoteopenclaw.com/skills/google-deepmind/science-skills/literature-search-biorxiv)

HTML

<a href="https://www.remoteopenclaw.com/skills/google-deepmind/science-skills/literature-search-biorxiv"><img src="https://www.remoteopenclaw.com/skills/google-deepmind/science-skills/literature-search-biorxiv/badges/score.svg" alt="Literature Search Biorxiv skill"/></a>

Literature Search Biorxiv FAQ

How do I install the Literature Search Biorxiv skill?

Run “npx skills add https://github.com/google-deepmind/science-skills --skill literature-search-biorxiv” in your terminal. The skill is added to your agent's skills directory and picked up automatically on the next run — no restart or extra configuration needed.

What does the Literature Search Biorxiv skill do?

> The full SKILL.md on this page shows the exact instructions the skill gives your agent.

Is the Literature Search Biorxiv skill free?

Yes. Literature Search Biorxiv is a free, open-source skill published from google-deepmind/science-skills. As with any third-party skill, review the source repository before installing it into an agent with sensitive access.

Does Literature Search Biorxiv work with Claude Code and OpenClaw?

Yes. Skills use the portable SKILL.md format, so Literature Search Biorxiv works with Claude Code, OpenClaw, Codex, Hermes, and any other agent that reads SKILL.md skills.

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