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Biomni General Agent

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--> --- name: biomni-general-agent description: Use the local Biomni checkout to orchestrate its 150+ biomedical tools, databases, and know-how workflows for complex research questions. allowed-tools: - read_file - run_shell_command ---

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  • Added May 30, 2026
toolsgoshellrailsapidatabase

Works with

  • cli
  • api

Security analysis

A92/100
  • mediumInstalls packages at runtime which could introduce malicious dependencies

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Scanned May 30, 2026

npx -y skills add FreedomIntelligence/OpenClaw-Medical-Skills --skill biomni-general-agent --agent claude-code

Installs into .claude/skills of the current project.

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SKILL.md
<!--
# 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: biomni-general-agent
description: Use the local Biomni checkout to orchestrate its 150+ biomedical tools, databases, and know-how workflows for complex research questions.
allowed-tools:
  - read_file
  - run_shell_command
---

## At-a-Glance
- **description (10-20 chars):** Omni bio agent
- **keywords:** multi-tool, know-how, tutorials, protocols, databases
- **measurable_outcome:** Execute a Biomni workflow that touches ≥2 tool categories and returns a cited research summary or artifact within 15 minutes per request.

## Workflow
1. **Environment:** `cd repo && pip install .` (or follow tutorials env set up). Activate the environment with required GPUs if using heavy models.
2. **Select mode:** Choose Standard (full stack), Light (API-only), or Commercial (license-safe) per task.
3. **Plan tools:** Query the Know-How library for relevant protocols/databases before executing.
4. **Execute notebooks/scripts:** Use `repo/tutorials` or CLI entrypoints to run pipelines; log tool versions.
5. **Summarize:** Provide outputs + citations pulled from the Know-How metadata.

## Guardrails
- Respect tool/data licenses when selecting Light vs Commercial mode.
- Track provenance (tool versions, dataset snapshots) in final response.
- Keep workflows modular—reuse Biomni recipes rather than ad-hoc scripts when possible.

## References
- Full capability list, tool inventory, and tutorial notebooks documented in `README.md` and `repo/tutorials/`.


<!-- AUTHOR_SIGNATURE: 9a7f3c2e-MD-BABU-MIA-2026-MSSM-SECURE -->

Files in this skill

  • README.md1.7 KB
  • SKILL.md1.8 KB
  • repo/CONTRIBUTION.md4.5 KB
  • repo/DETAILS.md16.6 KB
  • repo/LICENSE11.1 KB
  • repo/MANIFEST.in694 B
  • repo/README.md15.7 KB
  • repo/biomni/__init__.py462 B
  • repo/biomni/agent/__init__.py447 B
  • repo/biomni/agent/env_collection.py13.9 KB
  • repo/biomni/agent/function_generator.py4.6 KB
  • repo/biomni/agent/qa_llm.py2.1 KB
  • repo/biomni/agent/react.py20.8 KB
  • repo/biomni/biorxiv_scripts/extract_biorxiv_tasks.py12.8 KB
  • repo/biomni/biorxiv_scripts/generate_function.py2.5 KB
  • repo/biomni/biorxiv_scripts/process_all_subjects.py10.2 KB
  • repo/biomni/config.py3.9 KB
  • repo/biomni/env_desc.py23.9 KB
  • repo/biomni/env_desc_cm.py24.9 KB

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