OpenClaw-Medical-Skills biomaster-workflows

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install
source · Clone the upstream repo
git clone https://github.com/FreedomIntelligence/OpenClaw-Medical-Skills
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/FreedomIntelligence/OpenClaw-Medical-Skills "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/biomaster-workflows" ~/.claude/skills/freedomintelligence-openclaw-medical-skills-biomaster-workflows && rm -rf "$T"
OpenClaw · Install into ~/.openclaw/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/FreedomIntelligence/OpenClaw-Medical-Skills "$T" && mkdir -p ~/.openclaw/skills && cp -r "$T/skills/biomaster-workflows" ~/.openclaw/skills/freedomintelligence-openclaw-medical-skills-biomaster-workflows && rm -rf "$T"
manifest: skills/biomaster-workflows/SKILL.md
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<!-- # COPYRIGHT NOTICE # This file is part of the "Universal Biomedical Skills" project. # Copyright (c) 2026 MD BABU MIA, PhD <md.babu.mia@mssm.edu> # All Rights Reserved. # # This code is proprietary and confidential. # Unauthorized copying of this file, via any medium is strictly prohibited. # # Provenance: Authenticated by MD BABU MIA -->

name: biomaster-workflows description: Pipeline maestro keywords:

  • workflows
  • RNAseq
  • ChIPseq
  • automation
  • YAML measurable_outcome: Execute a configured pipeline end-to-end (including QC report + summary) within 24 hours of receiving inputs, logging every tool/parameter. license: MIT metadata: author: BioMaster Team version: "1.0.0" compatibility:
  • system: Python 3.9+ allowed-tools:
  • run_shell_command
  • read_file

BioMaster Workflows

Orchestrate BioMaster’s multi-agent pipelines (RNA-seq, ChIP-seq, single-cell, Hi-C) using the provided configs and repos to deliver reproducible outputs.

Workflow

  1. Config prep: Populate YAML with tool paths, reference genomes, and workflow selection (
    rnaseq
    ,
    chipseq
    ,
    singlecell
    ,
    hic
    ).
  2. Environment:
    cd repo && pip install -r requirements.txt
    (or container) prior to running.
  3. Launch:
    python repo/run.py --config repo/config.yaml
    (or chosen config) and monitor progress.
  4. Error recovery: Let BioMaster agents retry failing stages; review logs for missing reference/index files.
  5. Output packaging: Collect BAMs/counts/peaks + QC + narrative summary of parameters and runtimes.

Guardrails

  • Fail fast when reference files or indices are absent to avoid wasted compute.
  • Record tool versions for every stage (alignment, quantification, etc.).
  • Require confirmation before deleting intermediates or rerunning destructive steps.

References

  • Full workflow descriptions, supported modalities, and repo links reside in
    README.md
    .
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