Python Script Audits Court Rules CSV to Flag Missing and Malformed Dates

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A developer has built a lightweight Python tool to audit date fields in a court rules judge index CSV file. The script checks the rules_last_changed column for missing or malformed ISO-format dates without substituting today's date for any empty values. A real-world snapshot of the Court Rules Judge Index dated September 28, 2026 contains 1,233 rows across 39 courts, with 486 entries carrying no date at all. The tool uses only Python's standard library and outputs a structured report that includes each judge's page URL, allowing findings to be verified directly against the source. The audit separates blank cells from unparseable values, giving data users a clearer picture of what a metadata snapshot can reliably show.

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