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OpenClaw-Medical-Skills drug-interaction-checker

<!--

install
source · Clone the upstream repo
git clone https://github.com/FreedomIntelligence/OpenClaw-Medical-Skills
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/FreedomIntelligence/OpenClaw-Medical-Skills "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/drug-interaction-checker" ~/.claude/skills/freedomintelligence-openclaw-medical-skills-drug-interaction-checker && rm -rf "$T"
OpenClaw · Install into ~/.openclaw/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/FreedomIntelligence/OpenClaw-Medical-Skills "$T" && mkdir -p ~/.openclaw/skills && cp -r "$T/skills/drug-interaction-checker" ~/.openclaw/skills/freedomintelligence-openclaw-medical-skills-drug-interaction-checker && rm -rf "$T"
manifest: skills/drug-interaction-checker/SKILL.md
tags
#drug-interaction#pharmacovigilance#clinical-recommendations#medical-checker
source content
<!-- # COPYRIGHT NOTICE # This file is part of the "Universal Biomedical Skills" project. # Copyright (c) 2026 MD BABU MIA, PhD <md.babu.mia@mssm.edu> # All Rights Reserved. # # This code is proprietary and confidential. # Unauthorized copying of this file, via any medium is strictly prohibited. # # Provenance: Authenticated by MD BABU MIA -->

name: 'drug-interaction-checker' description: 'Checks for potential drug-drug interactions (DDIs) between a list of medications.' measurable_outcome: Execute skill workflow successfully with valid output within 15 minutes. allowed-tools:

  • read_file
  • run_shell_command

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"
<!-- AUTHOR_SIGNATURE: 9a7f3c2e-MD-BABU-MIA-2026-MSSM-SECURE -->