AA
AAV vector design: capsid selection, promoter optimization, payload capacity.
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数据与复现
TO
tooluniverse-adverse-event-detection
维护者 FreedomIntelligence · 最近更新 2026年4月1日
Detect and analyze adverse drug event signals using FDA FAERS data, drug labels, disproportionality analysis (PRR, ROR, IC), and biomedical evidence. Generates quantitative safety signal scores (0-100) with evidence grading. Use for post-market surveillance, pharmacovigilance, drug safety assessment, adverse event investigation, and regulatory decision support.
原始来源
FreedomIntelligence/OpenClaw-Medical-Skills
https://github.com/FreedomIntelligence/OpenClaw-Medical-Skills/tree/main/skills/tooluniverse-adverse-event-detection
- 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
- Automated pipeline ，用于 detecting，quantifying，、 contextualizing adverse drug event signals ，使用 FAERS disproportionality analysis，FDA label mining，mechanism-based prediction，、 literature evidence. Produces quantitative Safety Signal Score (0-100) ，用于 regulatory 、 clinical decision-making。
- KEY PRINCIPLES：1. Signal quantification first - Every adverse event must have PRR/ROR/IC ，支持 confidence intervals 2. Serious events priority - Deaths，hospitalizations，life-threatening events always analyzed first 3. Multi-source triangulation - FAERS + FDA labels + OpenTargets + DrugBank + literature 4. Context-aware assessment - Distinguish drug-specific vs class-wide vs confounding signals 5. Report-first approach - Create report file FIRST，update progressively 6. Evidence grading mandatory - T1 (regulatory/boxed warning) through T4 (computational) 7. English-first queries - Always use English drug names in tool calls，respond in user's language。
- chembl_result = tu.tools.OpenTargets_get_drug_chembId_by_generic_name(drugName="atorvastatin")。
原始文档
SKILL.md 摘录
When to Use
Apply when user asks:
- "What are the safety signals for [drug]?"
- "Detect adverse events for [drug]"
- "Is [drug] associated with [adverse event]?"
- "What are the FAERS signals for [drug]?"
- "Compare safety of [drug A] vs [drug B] for [adverse event]"
- "What are the serious adverse events for [drug]?"
- "Are there emerging safety signals for [drug]?"
- "Post-market surveillance report for [drug]"
- "Pharmacovigilance signal detection for [drug]"
- "What is the disproportionality analysis for [drug] and [event]?"
Differentiation from tooluniverse-pharmacovigilance: This skill focuses specifically on signal detection and quantification using disproportionality analysis (PRR, ROR, IC) with statistical rigor, produces a quantitative Safety Signal Score (0-100), and performs comparative safety analysis across drug classes. The pharmacovigilance skill provides broader safety profiling without the same depth of signal detection metrics.
Response: {data: {search: {hits: [{id: "CHEMBL1487", name: "ATORVASTATIN", description: "..."}]}}}
chembl_id = chembl_result['data']['search']['hits'][0]['id'] # "CHEMBL1487"
Step 2: Get drug mechanism of action
moa = tu.tools.OpenTargets_get_drug_mechanisms_of_action_by_chemblId(chemblId=chembl_id)
适用场景
- 可用于post-market surveillance，pharmacovigilance，drug safety assessment，adverse event investigation，、 regulatory decision support。
不适用场景
- Do not rely on this catalog entry alone ，用于 installation 或 maintenance details。
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