chemcrow-drug-discovery
chemcrow-drug-discovery,来自 FreedomIntelligence/OpenClaw-Medical-Skills 的 agent 技能。
它会碰到什么
这一栏是扫描器报的事实,不是结论。命中多不等于有毒(安全工具、规则库、示例脚本本来就会包含危险写法),命中少也不等于干净。它和你手上的凭据、文件、网络有什么关系,需要你自己看。
技能内容
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name: 'chemcrow-drug-discovery'
description: 'An LLM chemistry agent with expert-designed tools for organic synthesis, drug discovery, and materials design.'
measurable_outcome: Execute skill workflow successfully with valid output within 15 minutes.
allowed-tools:
- read_file
- run_shell_command
ChemCrow
ChemCrow is an open-source package for the accurate integration of Large Language Models (LLMs) with chemistry tools. It is designed to autonomously plan and execute chemical syntheses, research materials, and discover new drugs.
When to Use This Skill
- Synthesis Planning: "How do I synthesize Ibuprofen?"
- Property Prediction: "What is the logP of this molecule?"
- Safety Checks: "Is this reaction explosive?"
- Literature Search: "Find patents related to this substructure."
Core Capabilities
- Synthesis Planning: Uses tools like RXN4Chemistry or local retrosynthesis models to plan routes.
- Molecule Manipulation: Add/remove functional groups, generate SMILES (RDKit).
- Safety Assessment: Checks reagents against safety databases (PubChem, GHS).
- Web Search: Google/Patent search for chemical literature.
Tools (Expanded List - v2.0)
- RDKit: Cheminformatics (MolToSmiles, SmilesToMol, descriptors).
- PubChem: Search for properties and safety data.
- LiteratureSearch: Search arXiv, patents.
- Synthesis: IBM RXN, OPLS.
- Name2SMILES: Convert chemical names to structures.
Example Usage
User: "Plan a synthesis for a derivative of Aspirin that might have better solubility."
Agent Action:
- Retrieves Aspirin structure (SMILES).
- Modifies structure (e.g., adds a polar group) using RDKit.
- Checks solubility prediction.
- Plans synthesis route for the new molecule.
- Checks safety of reagents.
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想直接用这个技能?
本站把开放许可(MIT / Apache 等)的技能按仓库打包整理到网盘,点一下转存到你自己的网盘,不用一个个从 GitHub 拉。许可未声明的技能只给原始仓库链接,不打包。
它属于哪个仓库
skills/chemcrow-drug-discovery/SKILL.md