Stata replication
Skill brycewang-stanford/Auto-Empirical-Research-Skills/skills/64-tmonk-mcp-stata/skills/stata-replication
Run replication, robustness, and specification-sensitivity workflows for Stata projects. Use when a researcher wants to reproduce a result, rerun a pipeline, compare specifications, audit a do-file sequence, or check whether a claim is stable.From its SKILL.md
npx -y skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill stata-replicationAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
One thing to look at
- no licenseNo license file was found in the repository. Code published without one is not open source by default, so using it at work is a question for whoever answers licensing questions where you are.
SKILL.md
0.8 KB, 104 tokens by cl100k_base, as published. Nobody here has run it
Replication And Robustness
Use this skill for reproducibility work rather than one-off execution.
- Identify the replication entrypoint.
- Run the baseline cleanly and capture logs and stored results.
- Compare requested variants in a structured way.
- Say whether the result truly replicates, partly matches, or breaks.
Read references/workflow.md for the replication checklist and use scripts/compare_specs.py and scripts/summarize_log.py for deterministic comparisons.
What ships with it: 5 files
3.2 KB alongside SKILL.md, 2 of them executable
agents/
- openai.yaml247 B
references/
- workflow.md488 B
scripts/
- compare_specs.pyruns961 B
- summarize_log.pyruns715 B
- manifest.json861 B