# wu-yc/LabClaw

LabClaw – Operating Layer for LabOS (Stanford-Princeton AI Co-Scientists)

Repository: https://github.com/wu-yc/LabClaw
Canonical: https://ross.abutalabs.com/products/labclaw
Homepage: https://labclaw-ai.github.io/
License Family: other
Last push: 2026-03-19T06:37:52+00:00

## Health v2 (maintenance only)
Score: 48/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 73, release rhythm 35, longevity 12
- inputs: {"age_days": 180, "days_push": 167, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1048, forks 160 (observed 2026-08-28T04:03:22.538336+00:00)

## What it is
LabClaw is a modular library of 240 SKILL.md agent skills for biomedical AI research, covering biology, drug discovery, medicine, data science, and literature workflows. It is designed to be installed into OpenClaw-compatible agents, teaching them when and how to call scientific tools and compose autonomous research workflows that can connect to LabOS wet-lab execution.

## Use cases
- install biomedical skills into an OpenClaw agent
- run single-cell and spatial omics analysis pipelines
- automate drug discovery and molecular docking workflows
- search PubMed and manage citations for literature reviews
- build autonomous lab agents that monitor instruments
- generate statistics, ML analyses, and scientific figures
- compose clinical and precision medicine research workflows

## When to choose
- you use OpenClaw or a compatible agent and need ready-made biomedical research skills
- you want a modular skill library you can cherry-pick from rather than a monolithic tool
- your lab needs end-to-end automation from literature search to analysis and visualization

## When to avoid
- you need a standalone application with a GUI rather than agent skill files
- your work is outside biomedical and life-science domains
- you require a formally licensed, production-audited clinical software package

## Facets
- artifact type: library
- maturity: active
- function: agent-framework, prompt-engineering, workflow-automation, data-science, nlp
- domain: artificial-intelligence, bioinformatics, healthcare, data-science
- platform: python, cross-platform, cli
- tags: skill-library, biomedical-ai, openclaw, lab-automation, drug-discovery, bioinformatics, scientific-research, agent-skills, labos, ai-agents, natural-language-processing

## Member repositories
- wu-yc/LabClaw (main) score 48

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:22.538336+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T07:01:03.274298+00:00, confidence not recorded.
  - readme: https://github.com/wu-yc/LabClaw (fetched 2026-08-28T04:03:22.538336+00:00, sha 73959786257d)
  - homepage: https://labclaw-ai.github.io/ (fetched 2026-08-29T13:02:40.928548+00:00, sha 50e7f54be03a)
- Data as of 2026-08-30T08:39:29.467469+00:00.