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Waste Disposal Guide

该 Skill 是一个本地 Python 命令行工具,根据输入的化学品名称返回对应的废弃物容器颜色、处置说明和安全注意事项,也支持列出全部废弃物类别。材料未声明外部网络调用或额外依赖。

lyla0921
lyla0921
热度 80.94
最近更新 2026-05-11 17:31:20
分类:知识依赖:代码执行应用场景:推荐 / 概念解释

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 waste-disposal-guide
Metadata
name
waste-disposal-guide
description
Guide for proper chemical waste disposal by waste container color
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

Waste Disposal Guide

Guide for disposing specific chemical wastes into the correct colored waste containers.

Usage

python scripts/main.py --chemical "chloroform"
python scripts/main.py --list-categories

Waste Categories

Container Color Accepts
Halogenated Orange Chloroform, DCM, halogenated solvents
Non-halogenated Red Ethanol, acetone, organic solvents
Aqueous Blue Water-based solutions, buffers
Acid Yellow Acids (dilute/concentrated)
Base White Bases, alkali solutions
Heavy Metal Gray Mercury, lead, cadmium waste
Solid Black Gloves, paper, solid debris

Parameters

  • --chemical: Chemical name to look up
  • --list-categories: List all waste categories
  • --safety: Show safety notes

Output

  • Disposal instructions
  • Container color
  • Safety precautions

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