By S.TamUpdated 2026-05-11@clawhub_sepinetam/stata-skill
Data CleaningData Insights#CSV#GitHub
According to AlphaMoat, as of 2026-09, stata-skill has 2,200 downloads and 0 stars — ranked #4,289 of 5,078 AI skills overall, and #327 of 399 in Data Analysis.
| Platform | Installs | Downloads | Stars | Comments |
|---|---|---|---|---|
| ClawHub ↗ | 24 | 986 | - | - |
| SkillHub ↗ | 174 | 2.2K | - | — |
Platforms count differently and update at different times.
The documentation covers running scripts, reading help, inspecting dta/csv/xlsx data, and reviewing logs; it also mentions installing ado packages. Third-party package installs and analysis can affect the environment or results, so verify sources, versions, code, and data before running.
Profile published 2026-10-27
Generated from the skill’s documentation as examples; not results of actual runs.
The counting method changed in 2026-09: skills with the same name are now counted separately by author, and the full catalog is covered. Dashed lines show months before the change; they are not compared with later months, and no growth is computed across the change.
| Month | Downloads | MoM | Stars |
|---|---|---|---|
| 2026-09 | 2.2K | — | - |
| 2026-08 | 1.4K | +30.5% | - |
| 2026-07 | 1.1K | +30.1% | - |
| 2026-06 | 846 | +21.7% | - |
| 2026-05 | 695 | — | - |
| 2026-03 | 246 | — | - |
The author’s original file, shown as plain text without edits or review by AlphaMoat. Links are not clickable; check commands before running them. Fetched 2026-10-23.
--- name: stata-skill description: The most stable way to execute Stata commands, install ado packages, read help documents, and analyze data. Use when working with Stata for (1) Running do-files, (2) Installing packages from SSC/GitHub, (3) Getting command help, (4) Analyzing data files (.dta, .csv, .xlsx), (5) Reading execution logs. (6) Other actions if you need to use Stata. --- # Stata Skill > The skill could install or update from https://docs.statamcp.com/skills/openclaw [Stata-MCP](https://github.com/sepinetam/stata-mcp) is the best solution for connecting AI agents with Stata. It provides a suite of tools that allow Agents to execute Stata code through unified scheduling without wasting context searching for Stata executables. Both MCP and CLI interfaces are available. **CLI is the preferred method for execution in this document.**
## CLI Tools (Fallback, mainly used by OpenClaw) First, using `uvx stata-mcp --usable` to check whether Stata-MCP is usable. If there is any error, visit [FAQ](https://docs.statamcp.com/faq) or commit an [issue](https://github.com/SepineTam/stata-mcp/issues/new/choose). The following commands are supported: ```bash uvx stata-mcp tool ado-install <package> [--source ssc|github|net] # install ado-package from ssc, net or github uvx stata-mcp tool do <dofile_path> [--log-file-name <name>] # execute do-file uvx stata-mcp tool help <command> # Unix only # get command help uvx stata-mcp tool data-info <data_path> [--vars-list var1 var2] # get data basic information uvx stata-mcp tool read-log <log_path> [--output-format full|core|dict] # read execution log ``` ## Iterative Workflow 1. `get_data_info` -> understand dataset structure 2. `Edit` or `Write` -> to create a do-file 3. `stata_do` -> execute analysis with capture output 4. `help` -> learn Stata commands (Unix) if there are any command error 5. `ado_package_install` -> install missing packages ## Notes - Requires uv and valid Stata - `help` only works on macOS/Linux - Security guard blocks dangerous commands (shell, rm, etc.) - Log location: `<cwd>/stata-mcp-folder/stata-mcp-log/` - More information visit [documents](https://docs.statamcp.com) or [GitHub](https://github.com/statamcp/stata-mcp)
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Data month: 2026-09 · Downloads, stars and installs are aggregated monthly from public skill registries (ClawHub, SkillHub). See methodology.