Individual skill

tooluniverse-drug-drug-interaction

Assess drug-drug interactions — CYP metabolic interactions (substrate/inhibitor/inducer), transporter (P-gp, BCRP, OATP) effects, pharmacodynamic synergy/antagonism, clinical significance scoring, and management recommendations. Use for polypharmacy review, prescribing decision support, and safety analysis when adding or switching drugs.

plugins/tooluniverse/skills/tooluniverse-drug-drug-interaction/SKILL.md

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Last checked: Nov 9, 2026

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Repository stars (not skill ratings): 1,780
Repository last updated: Nov 9, 2026
License: Apache-2.0

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.env.templateasset · 499 bytes
EXAMPLES.mddoc · 14,113 bytes
SKILL.mdcore · 20,128 bytes
ddi_pipeline.pyruns · 17,619 bytes
ddi_working_example.pyruns · 11,513 bytes
python_implementation.pyruns · 17,619 bytes
scripts/pharmacology_ref.pyruns · 36,294 bytes

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# 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

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