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.
npx skills add BioTender-max/awesome-bio-agent-skills --skill tooluniverse-drug-drug-interaction --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# 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 m
- When to Use This Skill
- Critical Workflow Requirements
- 1. Report-First Approach (MANDATORY)
- Success Criteria
What does the tooluniverse-drug-drug-interaction skill do?
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.
How do I install it?
Run `npx skills add BioTender-max/awesome-bio-agent-skills --skill tooluniverse-drug-drug-interaction --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From BioTender-max/awesome-bio-agent-skills, a repository with 135 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.