mentorship-meeting-agenda

# Mentorship Meeting Agenda Generate structured agendas for mentor-student one-on-one meetings to ensure productive discussions. ## Usage ```bash python scripts/main.py --student "Alice" --phase early --output agenda.md ``` ## Parameters - `--student`: Student name - `--phase`: Career phase (early/mid/late) - `--topics`: Specific topics to cover - `--output`: Output file ## Agenda Sections 1. Progress updates (5 min) 2. Current challenges (10 min) 3. Goal setting (10 min) 4. Resource needs (5 min) 5. Action items (5 min) ## Output - Structured meeting agenda - Time allocations - Discussion prompts - Follow-up tracker ## 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