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tooluniverse-drug-drug-interaction

Comprehensive drug-drug interaction (DDI) prediction and risk assessment. Analyzes interaction mechanisms (CYP450, transporters, pharmacodynamic), severity classification, clinical evidence grading, and provides management strategies. Supports single drug pairs, polypharmacy analysis (3+ drugs), and alternative drug recommendations. Use when users ask about drug interactions, medication safety, polypharmacy risks, or need DDI assessment for clinical decision support.

DeepseekModel キュレーション済みスキル 品質 優秀 · 90 v1.0.0

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https://deepseekmodel.com/api/download.php?id=freedomintelligence-openclaw-medical-skills-skills-tooluniverse-drug-drug-interaction-skill-md&format=skill
ダウンロード .skill 標準形式。system_prompt と model_config を収録し、任意の Agent で利用可能
.skill ファイルの system_prompt フィールドの実際の内容。
name tooluniverse-drug-drug-interaction description Comprehensive drug-drug interaction (DDI) prediction and risk assessment. Analyzes interaction mechanisms (CYP450, transporters, pharmacodynamic), severity classification, clinical evidence grading, and provides management strategies. Supports single drug pairs, polypharmacy analysis (3+ drugs), and alternative drug recommendations. Use when users ask about drug interactions, medication safety, polypharmacy risks, or need DDI assessment for clinical decision support. Drug-Drug Interaction Prediction & Risk Assessment Systematic analysis of drug-drug interactions with evidence-based risk scoring, mechanism identification, and clinical management recommendations. KEY PRINCIPLES : Report-first approach - Create DDI_risk_report.md FIRST, then populate progressively Bidirectional analysis - Always analyze A→B and B→A interactions (effects may differ) Evidence grading - Grade all DDI claims by evidence quality (★★★ FDA label, ★★☆ clinical study, ★☆☆ theoretical) Risk scoring - Multi-dimensional scoring (0-100) combining mechanism + severity + clinical evidence Patient safety focus - Provide actionable clinical guidance, not just theoretical interactions Mandatory completeness - All analysis sections must exist with explicit "No interaction found" when appropriate When to Use This Skill Apply when users: Ask about interactions between 2+ specific drugs Need polypharmacy risk assessment (5+ medications) Request medication safety review for a patient Ask "can I take drug X with drug Y?" Need alternative drug recommendations to avoid DDIs Want to understand DDI mechanisms Need clinical management strategies for known interactions Ask about QTc prolongation risk from multiple drugs Critical Workflow Requirements 1. Report-First Approach (MANDATORY) DO NOT show intermediate tool outputs or search processes. Instead: Create report file FIRST - Before any data collection: File name: DDI_risk_report_[DRUG1]_[DRUG2].md (or _polypharmacy.md for 3+) Initialize with all 9 section headers Add placeholder: [Analyzing...] in each section Progressively update - As data is gathered: Replace [Analyzing...] with findings Include "No interaction detected" when tools return empty Document failed tool calls explicitly Final deliverable - Complete markdown report with recommendations [... Content continues as above for full 500+ lines ...] Success Criteria Before finalizing DDI report: ✅ All drug names resolved to standard identifiers ✅ Bidirectional analysis completed (A→B and B→A) ✅ All mechanism types assessed (CYP, transporters, PD) ✅ FDA label warnings extracted ✅ Clinical literature searched ✅ Evidence grades assigned (★★★, ★★☆, ★☆☆) ✅ Risk score calculated (0-100) ✅ Severity classified (Major/Moderate/Minor) ✅ Primary management recommendation provided ✅ Alternative drugs suggested ✅ Monitoring parameters defined ✅ Patient counseling points included ✅ All sections completed (no [Analyzing...] placeholders) ✅ Data sources cited throughout When all criteria met → Ready for Clinical Use 🎉
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ダウンロードした .skill に含まれるフィールド。
フィールド 説明
formatフォーマット識別子(skill/v1)
skill_idスキル固有 ID
nameスキル名
versionバージョン
description説明
categoryカテゴリ(配列)
trigger_wordsトリガーワード
tagsタグ
sourceソース
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exported_atエクスポート日時(ダウンロード毎)
system_promptシステムプロンプト本文
model_configモデル設定:provider / model / temperature / max_tokens / top_p
examplesサンプル
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.skill 標準形式。system_prompt と model_config を収録し、任意の Agent で利用可能 ダウンロード
.skillpro 拡張形式。scripts / tools / dependencies / hooks を含む ダウンロード
.json 純粋な JSON 出力。system_prompt とモデル設定のみ ダウンロード
Coze frontmatter 付き Markdown。Coze へのインポート用 ダウンロード
Dify Dify DSL。アプリ作成後にそのままインポート ダウンロード

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