aav-vector-design-agent
AAV vector design: capsid selection, promoter optimization, payload capacity.
Maintainer FreedomIntelligence · Last updated April 1, 2026
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, o….
Original source
https://github.com/FreedomIntelligence/OpenClaw-Medical-Skills/tree/main/skills/tooluniverse-drug-drug-interaction
Skill Snapshot
Source Doc
DO NOT show intermediate tool outputs or search processes. Instead:
Create report file FIRST - Before any data collection:
DDI_risk_report_[DRUG1]_[DRUG2].md (or _polypharmacy.md for 3+)[Analyzing...] in each sectionProgressively update - As data is gathered:
[Analyzing...] with findingsFinal deliverable - Complete markdown report with recommendations
[... Content continues as above for full 500+ lines ...]
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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