An automated tool for generating publication-ready baseline characteristics tables for clinical research using standardized statistical methods.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install table-1-generator-advanced
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install table-1-generator-advanced using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Table 1 Generator?
The Table 1 Generator is a specialized tool within the Openclaw Skills ecosystem designed to streamline the preparation of clinical research data. It automates the production of baseline characteristics tables, a fundamental requirement for medical manuscripts, by processing patient datasets and applying rigorous statistical methodologies.
This skill leverages standardized workflows to provide reproducible outputs, handling everything from variable type detection to group comparisons. By integrating this into Openclaw Skills, researchers can ensure their data analysis is transparent, audit-ready, and formatted to meet publication standards like APA.
Table 1 Generator Use Cases
- Generating automated Table 1 summaries for clinical trial manuscripts.
- Performing group comparisons between treatment and control cohorts for statistical significance.
- Validating baseline patient characteristics in large-scale observational studies.
- Formatting descriptive statistics for academic and professional research reporting.
How Table 1 Generator Works
- The skill receives a CSV dataset and identifies the primary grouping variables provided by the user.
- The Openclaw Skills environment validates the input and parses the script configuration to ensure all parameters are correct.
- The engine performs automatic variable detection to separate continuous and categorical data types.
- Statistical tests such as t-tests and chi-square are applied to compare groups based on the data distribution.
- The final formatted table is exported to a specified directory in CSV or Excel format for publication.
Table 1 Generator Setup
To get started, ensure you have Python 3.10+ and the required libraries installed. Run the following command in your terminal:
pip install -r requirements.txt
You can verify the skill setup by checking the script parsing and help menu:
python -m py_compile scripts/main.py
python scripts/main.py --help
Table 1 Generator Data Schema & Taxonomy
The Table 1 Generator organizes data based on the following execution parameters:
| Parameter | Description |
|---|---|
| --data | The path to the source patient data in CSV format. |
| --group | The variable used to split data into comparison groups (e.g., treatment vs control). |
| --vars | A list of specific variables to be included in the analysis. |
| --output | The destination file path for the final CSV or Excel result. |
All Openclaw Skills outputs include a structured summary of assumptions and identified risks to ensure data integrity.
Table 1 Generator Advanced Features
- Automatic detection of continuous vs. categorical data types for appropriate statistical mapping.
- Native support for mean±SD, median[IQR], and frequency n(%) calculations.
- Built-in missing data reporting to maintain high research quality standards.
- Standardized APA formatting for immediate use in professional clinical documentation.
- Audit-ready logs that separate assumptions, deliverables, and potential risks for peer review.
SKILL.md
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