complete-task

To archive completed tasks in an AI-driven project workflow, finalize the task by validating prerequisites like code commits and passing tests. The tool then updates metadata, adds an activity log entry, and moves the task directory to the completed archive automatically.

Before task archival and finalization, the system enforces that all workflow steps are completed, reviews are approved, code is committed, and tests are passing. This strict validation prevents premature archiving and ensures audit trail integrity.

Yes, you can force a task to complete when validation fails by using the --force override. This allows finalization and archival while bypassing standard prerequisite checks, but it issues explicit warnings to maintain audit trail awareness.

The best way to prevent premature task archiving in automated pipelines is to enforce strict pre-conditions before finalization. Validating that all workflow steps, reviews, and tests pass ensures tasks only move to the completed workspace when fully ready.

Task finalization requires an audit trail and activity log entry to track the transition from active to completed within AI-driven project workflows. This metadata update records timestamps and validation states, ensuring strict compliance and historical accountability.