Stats
Actions
Tags
Help us improve
Share bugs, ideas, or general feedback.
From mcp-stata
Audits Stata datasets for structure, missingness, labeling, suspicious values, duplicate identifiers, and documentation readiness. Useful for data QA, codebook reviews, sanity checks, and pre-analysis cleanup.
npx claudepluginhub tmonk/mcp-stata --plugin mcp-stataHow this skill is triggered — by the user, by Claude, or both
Slash command
/mcp-stata:stata-data-auditThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
Run a compact but explicit audit of the active dataset.
Describes and summarizes current Stata dataset in memory with structure, stats, and variable codebooks. Useful for data exploration before analysis.
Validates CSV/TSV/Excel files and data analyses for quality, completeness, uniqueness, accuracy, consistency, outliers, and bias using qsv stats and frequency tools.
Profiles datasets for data quality issues: missing values, outliers, class imbalance, correlation problems, and schema drift. Provides detection methods and actionable recommendations.
Share bugs, ideas, or general feedback.
Run a compact but explicit audit of the active dataset.
stata_inspect_data(action="describe") and stata_inspect_data(action="summary").codebook, search, and stata_run checks for key variables or suspicious patterns.Read references/checklist.md for the full audit checklist and recommended output format.