Literature Review
neflibata-feng/MyArxiv-Agent
Conduct comprehensive, systematic literature reviews using multiple academic databases (PubMed, arXiv, bioRxiv, Semantic Scholar, etc.).
Browse, filter, and download life sciences, biology, and medical preprints from bioRxiv and medRxiv.
$ npx skills add google-deepmind/science-skills --skill literature-search-biorxiv -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install google-deepmind/science-skills literature-search-biorxiv --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/google-deepmind/science-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/literature_search_biorxiv .claude/skills/literature-search-biorxiv && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "literature-search-biorxiv" agent skill from https://github.com/google-deepmind/science-skills/tree/main/skills/literature_search_biorxiv into .claude/skills/literature-search-biorxiv/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "literature-search-biorxiv", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/google-deepmind/science-skills/tree/main/skills/literature_search_biorxivType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add google-deepmind/science-skills --skill literature-search-biorxiv -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install google-deepmind/science-skills literature-search-biorxiv --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/google-deepmind/science-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/literature_search_biorxiv .agents/skills/literature-search-biorxiv && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "literature-search-biorxiv" agent skill from https://github.com/google-deepmind/science-skills/tree/main/skills/literature_search_biorxiv into .agents/skills/literature-search-biorxiv/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "literature-search-biorxiv", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add google-deepmind/science-skills --skill literature-search-biorxiv -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install google-deepmind/science-skills literature-search-biorxiv --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/google-deepmind/science-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/literature_search_biorxiv .cursor/skills/literature-search-biorxiv && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "literature-search-biorxiv" agent skill from https://github.com/google-deepmind/science-skills/tree/main/skills/literature_search_biorxiv into .cursor/skills/literature-search-biorxiv/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "literature-search-biorxiv", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/google-deepmind/science-skills.git --path skills/literature_search_biorxiv--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add google-deepmind/science-skills --skill literature-search-biorxiv -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install google-deepmind/science-skills literature-search-biorxiv --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/google-deepmind/science-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/literature_search_biorxiv .gemini/skills/literature-search-biorxiv && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "literature-search-biorxiv" agent skill from https://github.com/google-deepmind/science-skills/tree/main/skills/literature_search_biorxiv into .gemini/skills/literature-search-biorxiv/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "literature-search-biorxiv", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install google-deepmind/science-skills literature-search-biorxivInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add google-deepmind/science-skills --skill literature-search-biorxiv -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/google-deepmind/science-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/literature_search_biorxiv .github/skills/literature-search-biorxiv && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "literature-search-biorxiv" agent skill from https://github.com/google-deepmind/science-skills/tree/main/skills/literature_search_biorxiv into .github/skills/literature-search-biorxiv/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "literature-search-biorxiv", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add google-deepmind/science-skills --skill literature-search-biorxiv -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install google-deepmind/science-skills literature-search-biorxiv --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/google-deepmind/science-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/literature_search_biorxiv .opencode/skills/literature-search-biorxiv && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "literature-search-biorxiv" agent skill from https://github.com/google-deepmind/science-skills/tree/main/skills/literature_search_biorxiv into .opencode/skills/literature-search-biorxiv/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "literature-search-biorxiv", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
literature-search-biorxivBrowse, filter, and download life sciences, biology, and medical preprints from bioRxiv and medRxiv.
Literature Search Biorxiv is an agent skill from google-deepmind/science-skills. 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.
Its SKILL.md is about 1.9k tokens, which your agent loads only when the skill is triggered. The skill folder holds 5 other files, including scripts and reference files (for example `scripts/search_by_dates.py` and `scripts/search_by_doi.py`).
It sits in Research & Science, covering Literature review and Academic paper search. The repository describes itself as: GDM Science Skills to speed up agentic scientific workflows with better grounding and higher token efficiency. Integrate insights from AlphaGenome, AFDB, UniProt and 30+ other… The licence is Apache-2.0.
2 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 8ab7672. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Ships 2 files in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
uvFrom the folder's file list and the shell code blocks in SKILL.md.
Links to these hosts (documentation or services it may open):
api.biorxiv.orgbiorxiv.orgFrom URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Literature Search Biorxiv loads about 1.9k tokens when it runs, and up to ~2.7k if it reads all its reference files. Until then it costs about 84 tokens; SKILL.md has 754 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.
The full file from google-deepmind/science-skills at commit 8ab7672, republished under its Apache-2.0 licence (© google-deepmind). 754 words, ~1,935 tokens.
.claude/skills/literature-search-biorxiv/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.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.jsonRequired 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.jsonThis 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
© google-deepmind, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 3 other files (scripts, references) in skills/literature_search_biorxiv of google-deepmind/science-skills.
Open the folder on GitHubat commit 8ab7672
We found 2 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 2 other GitHub owners. This page covers the copy in google-deepmind/science-skills, which our catalogue first saw on October 7, 2026.
Literature Search Biorxiv next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Literature Search Biorxiv this skillgoogle-deepmind/science-skills | 3.2k | 2 repos | ~1.9k | Automated safety check: Pass | Apache-2.0 | |
| Literature Reviewneflibata-feng/MyArxiv-Agent | 126 | 20 repos | ~5.9k | Automated safety check: Notes | MIT | |
| Preprint Search on bioRxivLigphiDonk/Oh-my--paper | 739 | 12 repos | ~3.7k | Automated safety check: Pass | MIT | |
| Systematic Literature Review Builderbytedance/deer-flow | 84k | 2 repos | ~4.3k | Automated safety check: Pass | MIT | |
| Paper Research on arXivXiaomiMiMo/MiMo-Code | 14k | — | ~1.5k | Automated safety check: Pass | MIT | |
| Literature Review AgentAr9av/PaperOrchestra | 679 | 1 repos | ~5.2k | Automated safety check: Pass | Custom licence |
neflibata-feng/MyArxiv-Agent
Conduct comprehensive, systematic literature reviews using multiple academic databases (PubMed, arXiv, bioRxiv, Semantic Scholar, etc.).
LigphiDonk/Oh-my--paper
Searches bioRxiv life sciences preprints by keyword, author, date range or category with a Python script, returning JSON metadata and optional PDF downloads.
bytedance/deer-flow
Searches arXiv across many papers on one topic, extracts each paper's methodology and findings in parallel, and synthesizes a cited literature review.
XiaomiMiMo/MiMo-Code
Searches arXiv, fetches metadata, generates BibTeX, downloads PDFs and finds citations and related papers using a bundled Python script.
Ar9av/PaperOrchestra
Step 3 of the PaperOrchestra pipeline (arXiv:2604.05018). An agent skill from Ar9av/PaperOrchestra.
juliye2025/evil-read-arxiv
Searches DBLP for papers from top conferences such as CVPR, ICLR and NeurIPS, adds Semantic Scholar data, scores them and writes a yearly Obsidian note.
google-deepmind/science-skills
Retrieve and analyze AlphaFold predicted structures for a protein.
google-deepmind/science-skills
Analyzes genetic variant effects on gene expression (RNA-seq), chromatin accessibility (DNASE), histone marks (ChIP), and transcription factors using the AlphaGenome API.
google-deepmind/science-skills
Query the ChEMBL database for bioactive molecules, drug targets, bioactivity data, approved drugs, and chemical structures.
google-deepmind/science-skills
Query ClinicalTrials.gov via APIv2. An agent skill from google-deepmind/science-skills.
google-deepmind/science-skills
A skill your agent uses when needing clinical significance, pathogenicity classifications (e.g., Pathogenic, Benign, VUS), clinical evidence rationales, or finding "hard positive" benchmark controls…
google-deepmind/science-skills
A skill your agent uses when you want to look up, map, and search for short genetic variants (SNPs, indels) in NCBI's dbSNP database.
Categories
Browse, filter, and download life sciences, biology, and medical preprints from bioRxiv and medRxiv. Literature Search Biorxiv is an agent skill from google-deepmind/science-skills. Browse, filter, and download life sciences, biology, and medical preprints from bioRxiv and medRxiv.
Literature Search Biorxiv fits situations like: tasks that involve Literature review; tasks that involve Academic paper search.
Run `npx skills add google-deepmind/science-skills --skill literature-search-biorxiv -a claude-code`. Or copy the skill folder (skills/literature_search_biorxiv in google-deepmind/science-skills) into .claude/skills/literature-search-biorxiv in your project. Claude Code loads it when a task matches its description.
Run `npx skills add google-deepmind/science-skills --skill literature-search-biorxiv -a codex`. Or copy the skill folder (skills/literature_search_biorxiv in google-deepmind/science-skills) into .agents/skills/literature-search-biorxiv in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add google-deepmind/science-skills --skill literature-search-biorxiv -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/literature-search-biorxiv, .gemini/skills/literature-search-biorxiv, .github/skills/literature-search-biorxiv and .opencode/skills/literature-search-biorxiv in your project.
Going by SKILL.md and its folder, Literature Search Biorxiv needs Python for the scripts in its folder and the command-line tools its instructions call (uv). Our summary lists: Python 3.
SKILL.md names 2 domains. As links in the text: api.biorxiv.org and biorxiv.org. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
Literature Search Biorxiv is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 1.9k tokens (SKILL.md is roughly 7.7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 755 tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Literature Search Biorxiv: Literature Review (neflibata-feng/MyArxiv-Agent, 126 stars), Preprint Search on bioRxiv (LigphiDonk/Oh-my--paper, 739 stars), Systematic Literature Review Builder (bytedance/deer-flow, 84k stars) and Paper Research on arXiv (XiaomiMiMo/MiMo-Code, 14k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
google-deepmind (a GitHub organization) maintains it in google-deepmind/science-skills, which has 3,233 GitHub stars. The repository holds 40 skills in this directory. The repository was last updated on October 9, 2026.
Source: google-deepmind/science-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.