memory-hygiene

To detect dangling references and orphan files in auto-memory, execute diagnostic scripts that perform deterministic analysis across the repository. This identifies structural inconsistencies and generates a dated status report detailing objective defects for subsequent resolution.

Objective memory defects are deterministically-verifiable structural inconsistencies like circular superseded_by references, orphan files, and budget breaches. They cause memory rot and degrade data integrity across the repository, requiring automated diagnostic scripts to identify and report them.

Yes, Python 3 is required to execute the diagnostic scripts for automated memory maintenance. The deterministic analysis and status report generation processes rely on Python 3 to identify structural defects within the auto-memory repository.

The best way to prevent memory rot and budget violations is to run weekly automated defect detection scans. Executing diagnostic scripts on a schedule identifies structural inconsistencies and budget breaches early, ensuring the memory ecosystem remains healthy without manual oversight.

To report memory health defects and hand off repairs, run the diagnostic scan to generate a dated, actionable report detailing objective defects and advisory signals. This report serves as the input to hand off specific repair tasks to the dream skill for resolution.