scientific-skills/Others/cold-chain-risk-calculator/SKILL.md
Calculate temperature excursion risks for cold chain transport. Assesses route risk, packaging suitability, and monitoring requirements for biological samples and pharmaceuticals requiring controlled-temperature shipping.
npx skillsauth add aipoch/medical-research-skills cold-chain-risk-calculatorInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Assess temperature excursion risk for cold chain transport routes. Evaluates packaging type, transit duration, and route conditions to produce a structured JSON risk score and mitigation recommendations.
python -m py_compile scripts/main.py
python scripts/main.py --help
Fallback template: If scripts/main.py fails or required inputs are absent, report: (a) which parameter is missing, (b) what partial assessment is still possible, (c) the manual risk-scoring approach.
| Parameter | Type | Required | Description |
|-----------|------|----------|-------------|
| --route, -r | string | Yes | Transport route description (e.g., "NYC-Boston") |
| --duration, -d | int | Yes | Transport duration in hours (must be > 0) |
| --packaging, -p | string | No | Packaging type: dry-ice, liquid-nitrogen, gel-packs (default: dry-ice) |
| --output, -o | string | No | Output JSON file path (default: stdout) |
python scripts/main.py --route "NYC-Boston" --duration 48 --packaging dry-ice
python scripts/main.py --route "LAX-London" --duration 120 --packaging liquid-nitrogen --output risk_report.json
The script outputs a structured JSON object:
{
"route": "NYC-Boston",
"duration_hours": 48,
"packaging": "dry-ice",
"risk_score": 19.2,
"risk_level": "Medium",
"mitigation_recommendations": [
"Add temperature logger to shipment",
"Pre-condition dry ice 2h before packing",
"Notify recipient of expected arrival window"
]
}
The mitigation_recommendations field is always present and contains at least one actionable item. Recommendations are generated based on risk level and packaging type.
Risk score = duration_hours × 0.5 × packaging_factor
| Packaging | Factor | Notes |
|-----------|--------|-------|
| dry-ice | 0.8 | Standard for -70°C samples |
| liquid-nitrogen | 0.6 | Best for cryogenic samples |
| gel-packs | 1.2 | Suitable for 2–8°C only |
Risk levels: Low (< 15), Medium (15–30), High (> 30)
Model limitations: The formula does not account for route complexity, number of transit legs, or ambient temperature variability. A 120-hour international flight may score lower than a 48-hour domestic route due to packaging factor alone. Document these assumptions in every response.
Every response must make these explicit:
This skill accepts: cold chain transport scenarios defined by a route, duration, and optional packaging type.
If the request does not involve temperature-controlled shipping risk — for example, asking to track a shipment in real time, calculate drug dosing, or assess non-temperature logistics — do not proceed. Instead respond:
"
cold-chain-risk-calculatoris designed to assess temperature excursion risk for cold chain transport. Your request appears to be outside this scope. Please provide a route, duration, and packaging type, or use a more appropriate tool for your task."
--duration is ≤ 0, print Error: --duration must be a positive integer (hours). to stderr and exit with code 1.--packaging is not one of dry-ice, liquid-nitrogen, gel-packs, reject with a clear error listing valid options.scripts/main.py fails, report the failure point, summarize what still can be completed safely, and provide a manual fallback.tools
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