Skill: aipoch-ai/comparison-table-gen (version 0.1.0)

--- name: comparison-table-gen description: Auto-generates comparison tables for concepts, drugs, or study results in Markdown format. version: 1.0.0 category: Info tags: - comparison - table - markdown - research 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 ```bash # 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.json ``` ## Input 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 ```json { "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 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

path: references/guidelines.md
content: # Comparison Table Gen - References

## Table Formatting
- Markdown Table Syntax
- Scientific Comparison Standards


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: suspicious (MEDIUM)