clawbio

ClawBio

The first bioinformatics-native AI agent skill library.
Built on OpenClaw (180k+ GitHub stars). Local-first. Privacy-focused. Reproducible.

AI Agents for Health: ClawBio Hackathon
Thu 23 April 2026, 12:00-19:00 · University of Westminster, Cavendish Campus, London
Register free on Luma

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Install in 30 seconds

git clone https://github.com/ClawBio/ClawBio.git
cd ClawBio
pip install -r requirements.txt    # Python 3.10+
python clawbio.py run pharmgx --demo

Or use as a Python library:

from clawbio import run_skill, list_skills
result = run_skill("pharmgx", demo=True)

Or install as a Claude Code plugin: /plugin marketplace add ClawBio/ClawBio

No pip install clawbio package yet (planned for a future release).

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What ClawBio Does Today

46 executable skills + 8,000 Galaxy tools + 1,162 tests + benchmark validation. Local-first. No cloud. No guessing.

v0.5.0 released (4 Apr 2026): Validation and Benchmark Infrastructure. AD ground truth benchmark, mock API server for offline testing, swappable fine-mapping pipeline (SuSiE vs ABF), 74 benchmark tests, red/green TDD mandate. Release notes. DOI: 10.5281/zenodo.19420648.

Snap a photo of a medication in Telegram. ClawBio identifies the drug from the packaging, queries your pharmacogenomic profile from your own genome, and returns a personalised dosage card — on your machine, in seconds:

Warfarin | CYP2C9 *1/*2 Intermediate · VKORC1 High Sensitivity AVOID — DO NOT USE · Standard dose causes over-anticoagulation in this genotype.

Or take any genetic variant (identified by its rsID — a unique label like rs9923231) and search nine genomic databases at once to find every known disease association, tissue-specific effect, and population frequency. Or estimate your genetic predisposition to conditions like type 2 diabetes by combining thousands of small-effect variants into a single polygenic risk score. Or explore the UK Biobank — a half-million-person research dataset — by asking in plain English what fields measure blood pressure, grip strength, or depression, and get back the exact field IDs, descriptions, and linked publications you need.

Every result ships with a reproducibility bundle: commands.sh, environment.yml, and SHA-256 checksums. A reviewer can reproduce your Figure 3 in 30 seconds without emailing you.

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Reference Genome