Is the code execution in Biomni secure?

Biomni executes generated code with system privileges. It is recommended to run the skill in isolated environments like Docker or virtual machines for production use.

How does Biomni handle biomedical data?

It integrates a massive 11GB data lake containing gene databases, protein structures, and clinical datasets, allowing the agent to perform informed analysis without manual data gathering.

Which LLMs are compatible with Biomni?

While Claude 3.5 Sonnet is highly recommended, Biomni also supports OpenAI GPT-4, Google Gemini, Groq, and AWS Bedrock models.

What is the Biomni Claude Code Skill?

Biomni is an autonomous AI agent framework from Stanford's SNAP lab specifically built to handle complex, multi-step biomedical research tasks using Claude and other LLMs.

Can Biomni assist with drug discovery?

Yes, it is optimized for drug discovery tasks including ADMET prediction, target identification, and compound optimization using integrated molecular biology knowledge.

Biomni Biomedical AI Agent

Name: Biomni Biomedical AI Agent
Author: Activer007

byActiver007

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数据科学与机器学习

Executes complex biomedical research tasks including genomics analysis, drug discovery, and molecular biology workflows through an autonomous agent framework.

Biomni is an open-source autonomous agent framework developed by Stanford's SNAP lab, designed specifically for high-level biomedical research. It bridges the gap between LLM reasoning and practical execution by automating multi-step tasks such as CRISPR screen design, single-cell RNA-seq analysis, and ADMET prediction. By integrating approximately 11GB of curated biomedical databases and literature with dynamic code execution, Biomni enables researchers to perform data-driven discovery across genomics, proteomics, and clinical contexts within a unified interface.

主要功能

011 GitHub stars

02Autonomous multi-step biological reasoning and task planning

03Automated code generation and execution for data processing pipelines

04Integrated access to 11GB of curated biomedical databases and literature

05Cross-domain support for genomics, drug discovery, and clinical analysis

06Built-in evaluation framework for benchmarking biomedical task performance

使用场景

01Analyzing single-cell RNA-seq datasets for cell type annotation and differential expression

02Designing and prioritizing CRISPR screening experiments

03Predicting ADMET properties and identifying targets for drug discovery

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add activer007/ordinary-claude-skills biomni

For use in Claude.ai and ChatGPT

Download Skill