waste-disposal-guide

# Waste Disposal Guide Guide for disposing specific chemical wastes into the correct colored waste containers. ## Usage ```bash 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