AS
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Astropy
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数据与复现
VI
virtual-lab-agent
维护者 FreedomIntelligence · 最近更新 2026年4月1日
virtual-lab-agent：Virtual lab agent ，用于 in silico experiment 模拟 、 protocol optimization。
原始来源
FreedomIntelligence/OpenClaw-Medical-Skills
https://github.com/FreedomIntelligence/OpenClaw-Medical-Skills/tree/main/skills/virtual-lab-agent
- 维护者
- FreedomIntelligence
- 许可
- MIT
- 最近更新
- 2026年4月1日
技能摘要
来自 SKILL.md 的关键信息
核心说明
- Virtual Lab Agent orchestrates AI-powered virtual scientific research teams consisting of specialized agents (Principal Investigator，Immunologist，Computational Biologist，机器学习 Specialist) to autonomously conduct biomedical research. Inspired by Stanford's AI Scientist model，it enables hypothesis generation，experimental design，in silico validation，、 research synthesis。
- When exploring new research hypotheses autonomously。
- 用于 designing experiments ，支持 AI-generated protocols。
- To synthesize literature 、 generate research directions。
- When validating hypotheses through computational experiments。
原始文档
SKILL.md 摘录
Core Capabilities
-
Multi-Agent Research: Coordinate specialized AI scientists.
-
Hypothesis Generation: Generate testable research hypotheses.
-
Experimental Design: Design in silico and wet lab experiments.
-
Literature Synthesis: Comprehensive research landscape analysis.
-
Computational Validation: Test hypotheses computationally.
-
Research Documentation: Auto-generate papers and reports.
Virtual Lab Team
| Agent Role | Expertise | Responsibilities |
|---|---|---|
| Principal Investigator | Strategy, oversight | Direction, prioritization |
| Immunologist | Immune biology | Domain expertise |
| Computational Biologist | Bioinformatics | Data analysis |
| Machine Learning Specialist | AI/ML methods | Model development |
| Scientific Critic | Validation | Quality control |
Research Workflow
| Phase | Activities | Output |
|---|---|---|
| Ideation | Literature review, gap identification | Hypotheses |
| Planning | Experimental design, resource allocation | Protocol |
| Execution | Computational experiments | Raw results |
| Analysis | Statistical analysis, interpretation | Findings |
| Synthesis | Paper writing, visualization | Publication-ready |
适用场景
- When exploring new research hypotheses autonomously。
- 用于 designing experiments ，支持 AI-generated protocols。
- To synthesi。
不适用场景
- Do not rely on this catalog entry alone ，用于 installation 或 maintenance details。
上游相关技能
- Digital_Twin_Clinical_Agent - Patient simulation
- scFoundation_Model_Agent - Single-cell analysis
- CryoEM_AI_Drug_Design_Agent - Structure-based design
- PROTAC_Design_Agent - Degrader design
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