Conference Poster Pitch
Generate elevator pitches for academic poster sessions.
Parameters
| Parameter | Type | Default | Required | Description |
|---|---|---|---|---|
--poster-title, -t |
string | - | Yes | Poster title |
--duration, -d |
int | 60 | No | Pitch duration in seconds (30, 60, or 180) |
Usage
# Generate 60-second pitch
python scripts/main.py --poster-title "CRISPR Therapy for Sickle Cell Disease" --duration 60
# Generate quick 30-second pitch
python scripts/main.py --poster-title "Novel Biomarkers in Cancer" --duration 30
# Generate detailed 3-minute pitch
python scripts/main.py --poster-title "AI in Drug Discovery" --duration 180
Output
- 30s, 60s, and 3-minute pitch scripts
- Structured elevator pitch format
- Ready-to-practice delivery text
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