Ross ROSS = Recommend OSS · open-source software intelligence for agents

ClawBio/ClawBio

🦖 ClawBio - The first bioinformatics-native AI agent skill library. Local-first. Reproducible. Open. Free. observed · 2026-09-03

github.com/ClawBio/ClawBio · homepage · Python · NOASSERTION (other) observed · 2026-09-03

Health v2 · maintenance only

81/100

  • Activity 100
  • Release rhythm 95
  • Longevity 13

Flags: no_license

How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.

  • gap_med: 16.0
  • age_days: 189
  • days_rel: 35
  • days_push: 0
  • n_releases_24m: 7

Full methodology

Adoption not part of the score

1123 stars · 258 forks observed · 2026-09-03

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

ClawBio is a bioinformatics-native AI agent skill library offering 97 curated, reproducible skills for genomics tasks like pharmacogenomics, GWAS lookup, and variant annotation. It runs locally via a Python CLI/library, installs as a Claude Code plugin, and ships an MCP server so agents in Cursor, Zed, VS Code, and Claude Desktop can execute real analyses with demo data by default.

Use cases

  • run pharmacogenomics analysis on genetic data locally
  • query GWAS and genomic databases from an AI agent
  • annotate variants in a whole-genome sequence
  • give Claude or Cursor reproducible bioinformatics skills via MCP
  • reproduce bioinformatics analyses with checksummed commands
  • compute polygenic risk scores and nutrigenomics advice
  • run scRNA-seq and population genetics workflows with demo data

When to choose

  • you want AI agents to execute real, reproducible bioinformatics pipelines locally
  • you need privacy-focused genomics analysis with demo data by default
  • you use Claude Code, Cursor, Zed, VS Code, or Claude Desktop and want genomics skills via MCP
  • you want a curated, benchmarked library of bioinformatics skills instead of ad-hoc prompts

When to avoid

  • you need a hosted or cloud-native bioinformatics platform rather than local execution
  • you require production clinical-grade genomic analysis with regulatory compliance
  • you don't use AI coding agents and just need a traditional bioinformatics pipeline tool

Facets

library · maturity active

agent-framework mcp cli sdk data-science bioinformatics artificial-intelligence developer-tools python cli cross-platform self-hosted bioinformatics-skills genomics mcp-server reproducibility local-first pharmacogenomics gwas variant-annotation claude-code-plugin openclaw ai-agents command-line docker

4 sources

Member repositories

RepositoryRoleHealth v2
ClawBio/ClawBiomain81

For agents

markdown · JSON · MCP: product_card(name="ClawBio/ClawBio")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem