Drug Interaction Checker

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

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

Level	Description	Action Required
Critical	Life-threatening interaction	Absolute contraindication
Major

Significant risk, may need medical intervention | Avoid combination or monitor closely | | Moderate | Moderate risk, may require dose adjustment | Monitor for adverse effects | | Minor | Mild interaction, unlikely to cause issues | Be aware, usually acceptable | | Unknown | Insufficient data | Proceed with caution |

Usage

Python Script

CODEBLOCK0

As a Module

CODEBLOCK1

Parameters

Parameter	Type	Default	Required	Description
INLINECODE0	list	-	Yes	List of drug names (generic or brand names accepted)
INLINECODE1

string | text | No | Output format (text, json, markdown) | | --include-mechanism | flag | true | No | Include pharmacological mechanism | | --include-management | flag | true | No | Include clinical recommendations | | --output, -o | string | - | No | Output file path |

Output Format

CODEBLOCK2

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

Technical Difficulty

High - Requires extensive pharmacological knowledge database, accurate severity classification, and clear mechanism explanations.

References

See references/ directory for:

• - interactions_db.json - Drug interaction database
• INLINECODE9 - Classification criteria
• INLINECODE10 - Metabolic pathway data

Risk Assessment

Risk Indicator	Assessment	Level
Code Execution	Python/R scripts executed locally	Medium
Network Access

No external API calls | Low | | File System Access | Read input files, write output files | Medium | | Instruction Tampering | Standard prompt guidelines | Low | | Data Exposure | Output files saved to workspace | Low |

Security Checklist

• - [ ] No hardcoded credentials or API keys
• [ ] No unauthorized file system access (../)
• [ ] Output does not expose sensitive information
• [ ] Prompt injection protections in place
• [ ] Input file paths validated (no ../ traversal)
• [ ] Output directory restricted to workspace
• [ ] Script execution in sandboxed environment
• [ ] Error messages sanitized (no stack traces exposed)
• [ ] Dependencies audited

Prerequisites

CODEBLOCK3

Evaluation Criteria

Success Metrics

• - [ ] Successfully executes main functionality
• [ ] Output meets quality standards
• [ ] Handles edge cases gracefully
• [ ] Performance is acceptable

Test Cases

1. 1. Basic Functionality: Standard input → Expected output
2. Edge Case: Invalid input → Graceful error handling
3. Performance: Large dataset → Acceptable processing time

Lifecycle Status

• - Current Stage: Draft
• Next Review Date: 2026-03-06
• Known Issues: None
• Planned Improvements:

- Performance optimization - Additional feature support