Drug Interaction Checker

Source: https://github.com/aipoch/medical-research-skills

Drug Interaction Checker

Check for interactions between multiple medications, including severity classification and mechanism explanations.

When to Use

• Use this skill when the task needs Check for interactions between multiple medications, including severity classification and mechanism explanations.
• Use this skill for evidence insight tasks that require explicit assumptions, bounded scope, and a reproducible output format.
• Use this skill when you need a documented fallback path for missing inputs, execution errors, or partial evidence.

Key Features

See ## Features above for related details.

• Scope-focused workflow aligned to: Check for interactions between multiple medications, including severity classification and mechanism explanations.
• Packaged executable path(s): scripts/main.py.
• Reference material available in references/ for task-specific guidance.
• Structured execution path designed to keep outputs consistent and reviewable.

Dependencies

See ## Prerequisites above for related details.

• Python: 3.10+. Repository baseline for current packaged skills.
• dataclasses: unspecified. Declared in requirements.txt.
• enum: unspecified. Declared in requirements.txt.

Example Usage

See ## Usage above for related details.

cd "20260318/scientific-skills/Evidence Insight/drug-interaction-checker"
python -m py_compile scripts/main.py
python scripts/main.py --help

Example run plan:

1. Confirm the user input, output path, and any required config values.
2. Edit the in-file CONFIG block or documented parameters if the script uses fixed settings.
3. Run python scripts/main.py with the validated inputs.
4. Review the generated output and return the final artifact with any assumptions called out.

Implementation Details

See ## Workflow above for related details.

• Execution model: validate the request, choose the packaged workflow, and produce a bounded deliverable.
• Input controls: confirm the source files, scope limits, output format, and acceptance criteria before running any script.
• Primary implementation surface: scripts/main.py.
• Reference guidance: references/ contains supporting rules, prompts, or checklists.
• Parameters to clarify first: input path, output path, scope filters, thresholds, and any domain-specific constraints.
• Output discipline: keep results reproducible, identify assumptions explicitly, and avoid undocumented side effects.

Quick Check

Use this command to verify that the packaged script entry point can be parsed before deeper execution.

python -m py_compile scripts/main.py

Audit-Ready Commands

Use these concrete commands for validation. They are intentionally self-contained and avoid placeholder paths.

python -m py_compile scripts/main.py
python scripts/main.py --help

Workflow

1. Confirm the user objective, required inputs, and non-negotiable constraints before doing detailed work.
2. Validate that the request matches the documented scope and stop early if the task would require unsupported assumptions.
3. Use the packaged script path or the documented reasoning path with only the inputs that are actually available.
4. Return a structured result that separates assumptions, deliverables, risks, and unresolved items.
5. If execution fails or inputs are incomplete, switch to the fallback path and state exactly what blocked full completion.

Features

• Multi-drug analysis: Check interactions between 2+ medications simultaneously
• Severity classification: Critical / Major / Moderate / Minor / Unknown
• Mechanism explanation: Pharmacological basis for each interaction
• Clinical guidance: Recommendations for management

Severity Levels

Usage

Python Script

python scripts/main.py --drugs "Warfarin" "Aspirin" "Ibuprofen"

As a Module

from scripts.main import check_interactions

result = check_interactions(["Metformin", "Simvastatin", "Amlodipine"])

Parameters

Output Format

{
  "drugs_checked": ["Drug A", "Drug B"],
  "interactions": [
    {
      "drug_pair": ["Drug A", "Drug B"],
      "severity": "Major",
      "mechanism": "Pharmacodynamic synergism...",
      "effect": "Increased bleeding risk",
      "recommendation": "Avoid combination or monitor INR closely"
    }
  ],
  "summary": {
    "critical": 0,
    "major": 1,
    "moderate": 0,
    "minor": 0
  }
}

Data Sources

This skill uses a curated drug interaction database stored in references/interactions_db.json. The database includes:

• FDA-approved drug interaction data
• Known metabolic pathways (CYP450 enzymes)
• Pharmacodynamic interactions
• Common supplement interactions

Limitations

• Database may not include all possible drug combinations
• Always consult healthcare professionals for medical decisions
• Does not account for patient-specific factors (age, renal function, etc.)
• Not a substitute for professional medical advice