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Comparison Table Gen

Auto-generates comparison tables for concepts, drugs, or study results in Markdown format.
自动生成概念、药物或研究结果的对比表(Markdown格式)
aipoch-ai aipoch-ai 来源
未分类 clawhub v0.1.0 1 版本 99831.4 Key: 无需
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概述

Comparison Table Gen

Generates comparison tables for medical content.

Features

  • Side-by-side comparisons
  • Markdown table output
  • Drug comparison templates
  • Study result comparisons

Parameters

ParameterTypeDefaultRequiredDescription
-------------------------------------------------
--items, -istring-YesItems to compare (comma-separated)
--attributes, -astring-YesComparison attributes (comma-separated)
--output, -ostring-NoOutput 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.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

{
  "markdown_table": "string",
  "html_table": "string"
}

Risk Assessment

Risk IndicatorAssessmentLevel
-----------------------------------
Code ExecutionPython/R scripts executed locallyMedium
Network AccessNo external API callsLow
File System AccessRead input files, write output filesMedium
Instruction TamperingStandard prompt guidelinesLow
Data ExposureOutput files saved to workspaceLow

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

版本历史

共 1 个版本

  • v0.1.0 当前
    2026-05-02 09:25 安全 安全

安全检测

腾讯云安全 (Keen)

安全,无风险
查看报告

腾讯云安全 (Sanbu)

安全,无风险
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