Tooluniverse Drug Drug Interaction
This analyzes drug interactions with a report-first workflow that checks local pharmacology references before hitting external databases. It covers both CYP450 and UGT enzyme interactions (the valproate-lamotrigine SJS risk gets explicit treatment), bidirectional perpetrator-victim analysis, and evidence grading for clinical claims. The local script handles common high-risk pairs like statins with azoles, warfarin with inducers, and prodrug activation failures. Use it when reviewing polypharmacy cases or when a patient develops new symptoms after starting a medication. The framework pushes you to reason mechanistically about inhibition versus induction before consulting references, which makes the output more clinically useful than a simple interaction flag.
- skills.sh installs
- 457
- GitHub stars
- 1.8K
- last updated
- Aug 21, 2026
Install
$ npx -y skills add mims-harvard/tooluniverse --skill tooluniverse-drug-drug-interaction --agent claude-codeInstalls into .claude/skills of the current project.
Files
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
LOCAL PHARMACOLOGY REFERENCE (USE FIRST)
Before querying any external database, consult the local reference script for instant answers on CYP/UGT roles and known critical interactions:
scripts/pharmacology_ref.py (no external dependencies, runs offline)
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- Repository
- github.com/mims-harvard/tooluniverse
- Categories
- Git & Pull Requests, Code Review & Quality, Productivity & Planning, Design & UI/UX
- First seen
- Jun 3, 2026
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