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ClawBio

Local-first bioinformatics skill library: 105 reproducible genomics skills that run on your machine.

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About

ClawBio is a bioinformatics-native AI agent skill library built around a simple idea: skills should be reproducible specifications, not stochastic LLM output. It ships 105 skills covering pharmacogenomics reporting, GWAS lookup, ancestry PCA, polygenic risk scoring, UK Biobank navigation, and drug photo identification, each with demo data and reproducibility bundles. Everything runs locally by default via pip install clawbio, and skills also work as Claude Code plugins or plain Agent Skills folders. The project reports 1,160+ GitHub stars, benchmark validation against curated ground truth, and a fully open human genome (the Corpasome, CC0) as demo data.

The trade-off is scope: this is a platform with its own conventions (reproducibility bundles, skill scaffolding) rather than a single drop-in skill, so expect a learning curve. Some skills reach out to public annotation APIs, which the project documents per skill, so privacy-sensitive users should check the data-handling docs.

What it can do

  • 105 bioinformatics skills with runnable demo data
  • Pharmacogenomic dosage reports from genotype data
  • GWAS Catalog multi-database variant lookup
  • Polygenic risk scoring pipelines
  • UK Biobank field navigation in plain English
  • Reproducibility bundles with replay commands and checksums

Setup

Install via pip: pip install clawbio, then run a skill in demo mode with clawbio run pharmgx --demo. For Claude Code, add the marketplace with /plugin marketplace add ClawBio/ClawBio. For other Agent Skills-compatible editors, copy or symlink skill folders from skills/ into ~/.agents/skills/.

Prerequisites

Python 3.11+ for the pip package; Claude Code or another Agent Skills-compatible editor for the plugin path.

Use cases

genomicsbioinformaticspharmacogenomics

Works with

Claude CodeCursorCodex

Trust score — 8/10

/10 trustVerified

Scored 8/10 (verified tier, metrics-v1). Evidence: 1,160 GitHub stars, 283 forks, MIT license per README badge and LICENSE file; 105 skills with demo data, benchmark validation, pip install clawbio concrete command; Claude Code plugin path documented; Agent Skills folder path documented; Caveat: platform-scale library rather than single skill; some skills call public APIs (documented per skill).

★ 1,160 GitHub stars

Sources

Every fact above was checked against these sources. Where a claim comes from the provider and couldn't be independently verified, the text says so.