clawbio

🦖 ClawBio

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

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What ClawBio Does Today

24 skills + 8,000 Galaxy tools. Local-first. No cloud. No guessing.

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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The Problem

You read a paper. You want to reproduce Figure 3. So you:

1. Go to GitHub. Clone the repo.
2. Wrong Python version. Fix dependencies.
3. Need the reference data — where is it?
4. Download 2GB from Zenodo. Link is dead.
5. Email the first author. Wait 3 weeks.
6. Paths are hardcoded to /home/jsmith/data/.
7. Two days later: still broken. You give up.

Now imagine the same paper published a skill:

python ancestry_pca.py --demo --output fig3
# Figure 3 reproduced. Identical. SHA-256 verified. 30 seconds.

That's ClawBio. Every figure in your paper should be one command away from reproduction.

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🦖 What Is ClawBio?

A skill is a domain expert's knowledge — frozen into code — that an AI agent executes correctly every time.

ChatGPT / Claude  = a smart generalist who guesses at bioinformatics
🦖 ClawBio skill  = a domain expert's proven pipeline that the AI executes

• Local-first: Your genomic data never leaves your laptop. No cloud uploads, no data exfiltration.
• Reproducible: Every analysis exports commands.sh, environment.yml, and SHA-256 checksums. Anyone can reproduce it without the agent.
• Modular: Each skill is a self-contained directory (SKILL.md + Python scripts) that plugs into the orchestrator.
• MIT licensed: Open-source, free, community-driven.

Why Not Just Use ChatGPT?

Ask Claude to "profile my pharmacogenes from this 23andMe file." It'll write plausible Python. But:

• It hallucinates star allele calls and uses outdated CPIC guidelines
• It forgets CYP2D6 *4 is no-function (not reduced)
• You spend 45 minutes debugging its output
• No reproducibility bundle. No audit log. No checksums.

ClawBio encodes the correct bioinformatics decisions so the agent gets it right first time, every time.

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🔍 Provenance & Reproducibility