stata-results

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Fetch and display stored r(), e(), and s() results from the last Stata command.

Use stata-results in Claude, ChatGPT or Ahel Desktop

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Then ask your AI: use the stata-results skill

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Instructions available. Your AI can read the instructions. Execution depends on the setup they require.

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Add Ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.

stata-resultsStart free

The instructions your AI receives, as published by brycewang-stanford/auto-empirical-research-skills in skills/64-tmonk-mcp-stata/skills/stata-results/SKILL.md and read by Ahel’s review.

Call stata_get_results(include_matrices=True, as_json=True).

Present the results in a structured format:

r() scalars: name → value pairs (e.g., r(N), r(mean), r(sd))
e() scalars: model-level results (e.g., e(N), e(r2), e(F))
e() matrices: if present, display b (coefficients) and V (variance-covariance) as formatted tables
s() macros: string results if any

If no results are stored (empty response), tell the user to run a Stata command first (e.g., regress, summarize, ttest).

If the user needs Mata state, note they can ask you to call stata_get_results(include_mata=True).

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