数据与复现蛋白结构与设计FreedomIntelligence/OpenClaw-Medical-Skills数据与复现
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tooluniverse-chemical-safety

维护者 FreedomIntelligence · 最近更新 2026年4月1日

Comprehensive chemical safety and toxicology assessment integrating ADMET-AI predictions, CTD toxicogenomics, FDA label safety data, DrugBank safety profiles, and STITCH chemical-protein interactions. Performs predictive toxicology (AMES, DILI, LD50, carcinogenicity), organ/system toxicity profiling, chemical-gene-disease relationship mapping, regulatory safety extraction, and environmental hazard assessment. Use wh….

OpenClawNanoClaw分析处理复现实验tooluniverse-chemical-safety🏥 medical & clinicaldrug safety & chemical biologycomprehensive

原始来源

FreedomIntelligence/OpenClaw-Medical-Skills

https://github.com/FreedomIntelligence/OpenClaw-Medical-Skills/tree/main/skills/tooluniverse-chemical-safety

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

2 min

核心说明

  • Comprehensive chemical safety 、 toxicology analysis integrating predictive AI models,curated toxicogenomics databases,regulatory safety data,、 chemical-biological interaction networks. Generates structured risk assessment reports ,支持 evidence grading。

原始文档

SKILL.md 摘录

When to Use This Skill

Triggers:

  • "Is this chemical toxic?" / "What are the toxicity endpoints for [compound]?"
  • "Assess the safety profile of [drug/chemical]"
  • "What are the ADMET properties of [SMILES]?"
  • "What genes does [chemical] interact with?"
  • "What diseases are linked to [chemical] exposure?"
  • "Predict toxicity for these molecules"
  • "Drug safety assessment for [drug name]"
  • "Environmental health risk of [chemical]"
  • "Chemical hazard profiling"
  • "Toxicogenomic analysis of [compound]"

Use Cases:

  1. Predictive Toxicology: AI-predicted toxicity endpoints (AMES mutagenicity, DILI, LD50, carcinogenicity, skin reactions) for novel compounds via SMILES
  2. ADMET Profiling: Full absorption, distribution, metabolism, excretion, toxicity characterization
  3. Toxicogenomics: Chemical-gene interaction mapping, gene-disease associations from CTD
  4. Regulatory Safety: FDA label warnings, boxed warnings, contraindications, adverse reactions
  5. Drug Safety Assessment: Combined DrugBank safety + FDA labels + adverse event data
  6. Chemical-Protein Interactions: STITCH-based chemical-protein binding and interaction networks
  7. Environmental Toxicology: Chemical-disease associations for environmental contaminants

KEY PRINCIPLES

  1. Report-first approach - Create report file FIRST, then populate progressively
  2. Tool parameter verification - Verify params via get_tool_info before calling unfamiliar tools
  3. Evidence grading - Grade all safety claims by evidence strength (T1-T4)
  4. Citation requirements - Every toxicity finding must have inline source attribution
  5. Mandatory completeness - All sections must exist with data minimums or explicit "No data" notes
  6. Disambiguation first - Resolve compound identity (name -> SMILES, CID, ChEMBL ID) before analysis
  7. Negative results documented - "No toxicity signals found" is data; empty sections are failures
  8. Conservative risk assessment - When evidence is ambiguous, flag as "requires further investigation"
  9. English-first queries - Always use English chemical/drug names in tool calls

适用场景

  • Is this chemical toxic?"、"What are toxicity endpoints ,用于 [compound]。
  • Assess safety profile of [drug/chemical]。
  • What are ADMET properties of [SMILES]。
  • What genes does [chemical] interact ,支持。

不适用场景

  • Do not rely on this catalog entry alone ,用于 installation 或 maintenance details。

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