review-readiness-cleanup

You can classify review readiness issues by inspecting the review packet root to identify structural findings and categorize them into safe_mechanical_cleanup, blocker, skipped, and follow_on_needed classifications without remediating any findings.

A review readiness assessment identifies structural readiness issues in milestone review materials, producing actionable signals for handoff. You need one when preparing review packets, demo registers, or packet manifests to ensure finding classifications are structured properly.

Yes, you can generate JSON and Markdown readiness reports by running the deterministic helper script on a local review root, providing the review path, output artifact root, and run ID as required options to produce structured classification artifacts.

No, the review readiness cleanup process does not approve review readiness, publish reports, or alter findings. It strictly inspects artifacts to classify safe cleanup, blockers, skipped surfaces, and follow-on needs for handoff to appropriate roles.

The primary limitation is that classifying blockers and skipped surfaces in finding registers is strictly an inspection task; the process does not remediate findings, publish reports, or approve review readiness, meaning manual intervention is required for actual cleanup.