Skill: aipoch-ai/date-calculator (version 0.1.0)

--- 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 ```bash # 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:** ```json { "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:** ```json { "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


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)