🧪 Skills

Waste Disposal Guide

--- 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 ris

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Description


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

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Compatible Platforms

Pricing

Free

Related Configs