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claude-codescience

Claude-skill-registry drug-interaction

name: drug-interaction-checker

install
source · Clone the upstream repo
git clone https://github.com/majiayu000/claude-skill-registry
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/majiayu000/claude-skill-registry "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/data/drug-interaction" ~/.claude/skills/majiayu000-claude-skill-registry-drug-interaction && rm -rf "$T"
manifest: skills/data/drug-interaction/SKILL.md
tags
#biomedical#drug-interaction#data-analysis#automation#health-informatics
source content

---name: drug-interaction-checker description: Checks for potential drug-drug interactions (DDIs) between a list of medications. license: MIT metadata: author: BioKernel Team version: "1.0.0" compatibility:

  • system: Python 3.9+ allowed-tools:
  • run_shell_command

keywords:

  • drug-interaction
  • automation
  • biomedical measurable_outcome: execute task with >95% success rate. ---"

Drug-Drug Interaction (DDI) Checker

This skill analyzes a list of medications to identify known interactions, focusing on safety and contraindications.

When to Use This Skill

  • Reviewing patient medication lists.
  • Prescribing new medications.
  • Pharmacovigilance monitoring.

Core Capabilities

  1. Interaction Detection: Identifies pairs of drugs with known interactions.
  2. Severity Grading: Classifies interactions as Minor, Moderate, or Major.
  3. Clinical Recommendations: Provides actionable advice (e.g., "Monitor K+ levels").

Workflow

  1. Input: List of drug names (e.g., "Warfarin, Aspirin").
  2. Analysis: Queries internal interaction database.
  3. Output: Interaction report with severity and mechanisms.

Example Usage

User: "Check interactions for Warfarin and Aspirin."

Agent Action:

python3 Skills/Pharma/Drug_Interaction/impl.py --drugs "Warfarin, Aspirin"