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OpenClaw-Medical-Skills compbioagent-explorer

<!--

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 "$T/skills/compbioagent-explorer" ~/.claude/skills/freedomintelligence-openclaw-medical-skills-compbioagent-explorer && rm -rf "$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 "$T/skills/compbioagent-explorer" ~/.openclaw/skills/freedomintelligence-openclaw-medical-skills-compbioagent-explorer && rm -rf "$T"
manifest: skills/compbioagent-explorer/SKILL.md
tags
#single-cell#visualization#web-app#cellxgene#exploration
safety · automated scan (low risk)
This is a pattern-based risk scan, not a security review. Our crawler flagged:
  • pip install
Always read a skill's source content before installing. Patterns alone don't mean the skill is malicious — but they warrant attention.
source content
<!-- # 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: compbioagent-explorer description: scRNA-seq Explorer keywords:

  • single-cell
  • visualization
  • web-app
  • cellxgene
  • exploration measurable_outcome: Launch a local web instance for interactive scRNA-seq exploration and generate 3+ custom visualizations per session. license: MIT metadata: author: CompBioAgent Team version: "1.0.0" compatibility:
  • system: Python 3.9+ allowed-tools:
  • run_shell_command
  • web_fetch

CompBioAgent (Single-Cell Explorer)

An LLM-powered web application for single-cell RNA-seq data exploration, integrating with CellDepot and Cellxgene VIP.

When to Use

  • Interactive Exploration: When you need to visually explore a dataset without writing code.
  • Hypothesis Generation: Quickly checking expression of specific markers across clusters.
  • Sharing: Presenting data to non-computational collaborators.

Core Capabilities

  1. Natural Language Querying: "Show me the expression of TP53 in the B-cell cluster."
  2. Cellxgene Integration: Leverages robust visualization tools.
  3. Data Integration: Connects with CellDepot for dataset retrieval.

Workflow

  1. Setup: 
    pip install compbioagent
    .
  2. Launch: 
    compbioagent start --data ./data.h5ad
    .
  3. Interact: Open the local URL (e.g., http://localhost:8050) and chat with the agent to generate plots.

Example Usage

User: "Launch the explorer for my kidney dataset."

Agent Action:

compbioagent launch --port 8080 --data ./kidney_atlas.h5ad
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