Agent skill

table-1-generator

Automated baseline characteristics table generation for clinical papers

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Forks 31

Install this agent skill to your Project

npx add-skill https://github.com/majiayu000/claude-skill-registry/tree/main/skills/other/other/table-1-generator-advanced

SKILL.md

Table 1 Generator

Automated generation of baseline characteristics tables (Table 1) for clinical research papers.

Usage

bash
python scripts/main.py --data patients.csv --group treatment --output table1.csv

Parameters

Parameter Type Required Default Description
--data str Yes - Patient data CSV file path
--group str No - Grouping variable (e.g., treatment/control)
--vars list[str] No - Variables to include in the table
--output str Yes - Output file path for Table 1

Features

  • Automatic variable type detection
  • Appropriate statistics (mean±SD, median[IQR], n(%))
  • Group comparisons (t-test, chi-square)
  • Missing data reporting
  • APA formatting

Output

  • Table 1 (CSV/Excel)
  • Statistical test results
  • Formatted for publication

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

bash
# Python dependencies
pip install -r requirements.txt

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

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