| name | q-and-a-prep-partner |
| description | Predict challenging questions for presentations and prepare responses |
| version | 1.0.0 |
| category | Present |
| tags | [] |
| author | AIPOCH |
| license | MIT |
| status | Draft |
| risk_level | Medium |
| skill_type | Tool/Script |
| owner | AIPOCH |
| reviewer | |
| last_updated | 2026-02-06 |
Q&A Prep Partner
Predict challenging questions for presentations and prepare structured responses.
Usage
python scripts/main.py --abstract abstract.txt --field oncology
python scripts/main.py --topic "CRISPR therapy" --audience experts
Parameters
--abstract: Abstract text or file
--topic: Research topic
--field: Research field
--audience: Audience type (general/experts/peers)
--n-questions: Number of questions to generate (default: 10)
Question Types
- Methodology questions
- Statistical questions
- Interpretation questions
- Limitation questions
- Future work questions
- Comparison questions
Output
- Predicted questions
- Suggested response frameworks
- Key points to address
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