- name
- date-calculator
- description
- Calculates gestational age and follow-up date windows.
- version
- 1.0.0
- category
- Utility
- tags
- 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 6Output 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
- Basic Functionality: Standard input → Expected output
- Edge Case: Invalid input → Graceful error handling
- 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