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Cold Chain Risk Calculator

该 Skill 提供冷链运输风险计算脚本,通过命令行参数指定运输路线、运输时长与包装类型,输出路线风险评估、包装优化和温度监控相关结果。文档说明脚本在本地运行,不调用外部 API,无需额外 Python 包。

aipoch-ai
aipoch-ai
热度 79.73
最近更新 2026-05-11 17:33:12
分类:数据依赖:代码执行 / 读写文件应用场景:报告撰写 / 数据处理

安装技能

复制下面的话术发给你的 Agent,它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill: npx secure-skills-cli add cold-chain-risk-calculator-2
Metadata
name
cold-chain-risk-calculator
description
Calculate cold chain transport risks
version
1.0.0
category
Operations
tags
[]
author
AIPOCH
license
MIT
status
Draft
risk_level
Medium
skill_type
Tool/Script
owner
AIPOCH
reviewer
last_updated
2026-02-06

Cold Chain Risk Calculator

Calculate temperature excursion risks for cold chain transport.

Parameters

Parameter Type Default Required Description
--route, -r string - Yes Transport route description
--duration, -d int - Yes Transport duration in hours
--packaging, -p string dry-ice No Packaging type (dry-ice, liquid-nitrogen, gel-packs)

Usage

python scripts/main.py --route "NYC-Boston" --duration 48 --packaging dry-ice

Features

  • Route risk assessment
  • Packaging optimization
  • Temperature monitoring

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