- name
- comparison-table-gen
- description
- Auto-generates comparison tables for concepts, drugs, or study results
- version
- 1.0.0
- category
- Info
- tags
- author
- AIPOCH
- license
- MIT
- status
- Draft
- risk_level
- Medium
- skill_type
- Tool/Script
- owner
- AIPOCH
- reviewer
- last_updated
- 2026-02-06
Comparison Table Gen
Generates comparison tables for medical content.
Features
- Side-by-side comparisons
- Markdown table output
- Drug comparison templates
- Study result comparisons
Parameters
| Parameter | Type | Default | Required | Description |
|---|---|---|---|---|
--items, -i | string | - | Yes | Items to compare (comma-separated) |
--attributes, -a | string | - | Yes | Comparison attributes (comma-separated) |
--output, -o | string | - | No | Output JSON file path |
Usage
# Compare two drugs
python scripts/main.py --items "Drug A,Drug B" --attributes "Mechanism,Dose,Side Effects"
# Save to file
python scripts/main.py --items "Surgery,Chemo,Radiation" --attributes "Cost,Efficacy" --output comparison.jsonInput Format
- items: Comma-separated list of items to compare (e.g., "Drug A,Drug B")
- attributes: Comma-separated list of comparison attributes (e.g., "Mechanism,Dose")
Output Format
{
"markdown_table": "string",
"html_table": "string"
}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