A specialized research tool for fetching, filtering, and analyzing biology preprints from the official bioRxiv repository.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install biorxiv-openclaw-skill
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install biorxiv-openclaw-skill using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The bioRxiv skill is a powerful research integration designed to interface directly with the official bioRxiv API. It enables AI agents and developers to programmatically access a vast repository of biology preprints across numerous domains, including bioinformatics, genomics, and neuroscience. As part of the growing library of Openclaw Skills, this tool simplifies the process of staying updated with the latest scientific discoveries without requiring any authentication.
By leveraging this skill, users can automate the retrieval of high-quality metadata, such as paper titles, authors, DOIs, and publication dates. Whether you are building a discovery engine or a specialized research assistant, these Openclaw Skills provide the necessary connectivity to bridge the gap between AI-driven analysis and the cutting edge of biological research.
This skill is ready to use without API keys as bioRxiv provides a public API. To get started with these Openclaw Skills, run the following commands:
# List all available subject collections
python scripts/biorxiv.py --list
# Fetch the 10 most recent bioinformatics papers
python scripts/biorxiv.py --collection bioinformatics --limit 10
The skill returns structured metadata for each preprint. When using the JSON output mode, the data follows this taxonomy:
| Field | Description |
|---|---|
| title | The full title of the preprint |
| authors | A list of contributing researchers |
| doi | The Digital Object Identifier for the paper |
| date | The date the preprint was posted or updated |
| category | The specific subject collection (e.g., genomics) |
| server | The host server (always biorxiv for this skill) |
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