date-calculator

name	date-calculator
description	Calculates gestational age and follow-up date windows.
version	1.0.0
category	Utility
tags	["dates","pregnancy","follow-up","calculator"]
author	AIPOCH
license	MIT
status	Draft
risk_level	Medium
skill_type	Tool/Script
owner	AIPOCH
reviewer
last_updated	2026-02-06

Date Calculator

Calculates medical date windows.

Features

• Gestational age
• Follow-up windows
• Visit scheduling
• Date adjustments

Parameters

Parameter	Type	Default	Required	Description
--type, -t	string	-	Yes	Calculation type (gestational or followup)
--date, -d	string	-	Yes	Date in YYYY-MM-DD format
--weeks	int	4	No	Number of weeks for follow-up
--window-days	int	7	No	Follow-up window size in days
--output, -o	string	-	No	Output JSON file path

Usage

# Calculate gestational age
python scripts/main.py --type gestational --date 2024-01-15

# Calculate 4-week follow-up window
python scripts/main.py --type followup --date 2024-03-01

# Calculate custom follow-up (6 weeks)
python scripts/main.py --type followup --date 2024-03-01 --weeks 6

Output Format

Gestational calculation:

{
  "lmp_date": "2024-01-15",
  "gestational_age": "12 weeks 3 days",
  "gestational_age_days": 87,
  "estimated_delivery_date": "2024-10-21",
  "calculation_date": "2024-04-12"
}

Follow-up calculation:

{
  "start_date": "2024-03-01",
  "followup_weeks": 4,
  "window_start": "2024-03-29",
  "window_end": "2024-04-05",
  "window_range": "2024-03-29 to 2024-04-05"
}

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

No additional Python packages required.

Evaluation Criteria

Success Metrics

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

Test Cases

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