OpenClaw-Medical-Skills 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.

install
source · Clone the upstream repo
git clone https://github.com/FreedomIntelligence/OpenClaw-Medical-Skills
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/FreedomIntelligence/OpenClaw-Medical-Skills "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/tooluniverse-drug-drug-interaction" ~/.claude/skills/freedomintelligence-openclaw-medical-skills-tooluniverse-drug-drug-interaction && rm -rf "$T"
OpenClaw · Install into ~/.openclaw/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/FreedomIntelligence/OpenClaw-Medical-Skills "$T" && mkdir -p ~/.openclaw/skills && cp -r "$T/skills/tooluniverse-drug-drug-interaction" ~/.openclaw/skills/freedomintelligence-openclaw-medical-skills-tooluniverse-drug-drug-interaction && rm -rf "$T"
manifest: skills/tooluniverse-drug-drug-interaction/SKILL.md
source content

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:

  1. Report-first approach - Create DDI_risk_report.md FIRST, then populate progressively
  2. Bidirectional analysis - Always analyze A→B and B→A interactions (effects may differ)
  3. Evidence grading - Grade all DDI claims by evidence quality (★★★ FDA label, ★★☆ clinical study, ★☆☆ theoretical)
  4. Risk scoring - Multi-dimensional scoring (0-100) combining mechanism + severity + clinical evidence
  5. Patient safety focus - Provide actionable clinical guidance, not just theoretical interactions
  6. 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:

  1. 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
  2. Progressively update - As data is gathered:

    • Replace
      [Analyzing...]
      with findings
    • Include "No interaction detected" when tools return empty
    • Document failed tool calls explicitly
  3. 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 🎉