dvcrn 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
- Basic Functionality: Standard input → Expected output
- Edge Case: Invalid input → Graceful error handling
- 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