ClawBio/ClawBio

What it solves

ClawBio provides a standardized, reproducible way to execute bioinformatics workflows using AI agents. It solves the problem of "stochastic" AI-generated code—where LLMs might hallucinate outdated guidelines or incorrect genetic classifications—by replacing ad-hoc code generation with a library of "skills": versioned, specification-constrained contracts that ensure domain expertise is executed accurately and reproducibly.

How it works

ClawBio implements a "specification-first" architecture. Instead of relying on an LLM to improvise a pipeline, the system uses a library of self-contained skills. Each skill consists of a declarative specification (SKILL.md), validated Python code, and demo data. When an agent (such as Claude or ChatGPT) invokes a skill, it follows the expert-defined contract rather than improvising from its training data. To ensure scientific rigor, the project includes a validation infrastructure with ground-truth benchmarks, a mock API server for offline testing, and a reproducibility bundle (containing commands, environment snapshots, and checksums) for every run.

Who it’s for

It is designed for bioinformaticians, genetic researchers, and clinicians who need to perform complex genomic analyses—such as pharmacogenomic profiling, GWAS lookups, and variant annotation—with the guarantee that the results are reproducible and based on current scientific guidelines.

Highlights

• Extensive Skill Library: Includes 94 skills covering personal genomics (e.g., PharmGx Reporter), population genetics (e.g., GWAS Lookup, Ancestry PCA), and clinical reporting.
• Local-first Privacy: Genomic data is analyzed on the user's local machine by default to maintain privacy.
• Reproducibility Bundles: Exports replay metadata, including shell commands and environment snapshots, to allow runs to be re-verified without the original AI session.
• Agent-Agnostic: Works across different LLMs (Claude, ChatGPT, Ollama) because the logic is decoupled from the model weights.
• Integrated Benchmarking: Features a systematic validation suite with ground-truth data for diseases like Alzheimer's to score gene recovery and precision.