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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.
How 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.
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.
npx claudepluginhub tmonk/mcp-stata --plugin mcp-stataAudits datasets across completeness, uniqueness, validity, consistency, accuracy, and timeliness dimensions, producing a prioritized fix list with concrete checks. Use when asked to assess data quality or explain suspicious numbers.
Read-only audit of raw data files: variable inventory, missingness, IDs, units, merge keys, feasibility. Produces a structured data_audit_report.md.
Describes and summarizes current Stata dataset in memory with structure, stats, and variable codebooks. Useful for data exploration before analysis.