A professional-grade bridge for AI agents to execute Stata commands, manage packages, and perform deep econometric data analysis.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install stata-skill
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 stata-skill 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 Stata Skill?
The Stata Skill provides the most stable and efficient way for AI coding agents to interact with Stata environments. By utilizing the Stata-MCP solution, it enables agents to bypass the complexities of locating executables and provides a unified interface for executing do-files, reading logs, and retrieving help documentation. This skill is a core component of the Openclaw Skills ecosystem, designed specifically for researchers and data scientists who require programmatic control over Stata.
Built with reliability in mind, the skill supports both MCP and CLI interfaces, though the CLI method is preferred for direct execution. It ensures that AI agents can work within a secure sandbox, preventing the execution of dangerous system commands while maintaining full access to Stata's powerful analytical engine.
Stata Skill Use Cases
- Automating the execution of complex Stata do-files for reproducible research.
- Programmatic installation and updating of ado packages from SSC, GitHub, or net sources.
- Exploratory data analysis of .dta, .csv, and .xlsx files directly within an AI workflow.
- Debugging Stata scripts by analyzing execution logs and help files in real-time.
- Integrating Stata-based econometric modeling into multi-agent AI pipelines.
How Stata Skill Works
- Environment Check: The agent uses the usability tool to verify the Stata-MCP connection and Stata availability.
- Data Inspection: The
data-infotool is called to understand the variables and structure of the target dataset. - Script Generation: The agent writes or edits a local .do file containing the required analysis logic.
- Execution: The
stata_docommand triggers the Stata executable to run the do-file and capture output. - Log Analysis: The agent reads the generated execution logs to verify results or identify syntax errors.
- Knowledge Retrieval: If errors occur, the agent pulls Stata help documentation (on Unix systems) to refine the code.
Stata Skill Setup
To integrate this into your Openclaw Skills library, ensure you have uv installed and a valid Stata license.
# Check if the environment is ready
uvx stata-mcp --usable
# Install the necessary ado packages
uvx stata-mcp tool ado-install <package_name> --source ssc
Stata Skill Data Schema & Taxonomy
The skill manages data through a structured local directory and specific tool outputs:
| Component | Description |
|---|---|
| Log Directory | Found at <cwd>/stata-mcp-folder/stata-mcp-log/ for persistent execution history. |
| Data Formats | Supports native Stata (.dta), Excel (.xlsx), and delimited text (.csv) files. |
| Output Formats | Logs can be parsed in full, core, or dict formats for agent consumption. |
| Security Filter | A built-in guard blocks high-risk commands like shell or rm. |
Stata Skill Advanced Features
- Multi-source package management allowing installations directly from GitHub repositories.
- Intelligent log parsing that extracts core results from verbose Stata output.
- Native help document retrieval for offline command reference (macOS/Linux).
- Variable-specific data querying to minimize context window usage when analyzing large datasets.
- Seamless integration with Openclaw Skills for automated iterative data cleaning and modeling.
SKILL.md
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