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data_clean tool: ordered declarative cleaning rules (dedupe, fill-missing, coerce-type, normalize-unit, trim, map-values) with a per-rule audit log; the source file is never overwritten and cleaned output writes only inside the workspace.
data_verify tool: declarative verification rules (not-null, unique, range, regex, enum, cross-column, freshness) with capped failing-row evidence; overall failure is a normal passed: false result, never a tool error.
Durable report persistence to the data_quality storage domain (keyed by run timestamp + dataset fingerprint), adaptive data-quality/profile|clean|verify session events on hosts that can carry them safely, fail-loud Schemastery config, and workspace-confined path resolution (escape + extension + size + row guards).