bmad-agent-quality-reviewer

A production artifact quality review systematically validates outputs across eight dimensions: brand consistency, accessibility, learning alignment, instructional soundness, intent fidelity, content accuracy flags, audio quality, and composition integrity before human checkpointing.

Perform dual-pass quality validation by running pre-composition reviews to catch early issues, then post-composition reviews to validate final outputs, both orchestrated systematically to generate structured quality reports with severity tagging and remediation steps.

Yes, the quality review process supports structured quality reports with location-specific findings and severity tagging, plus SQLite logging when enabled, ensuring clear governance and return structures for both automated and human review.

Content accuracy flags are systematically reviewed during artifact validation, with specific escalation pathways established for medical-accuracy concerns to ensure critical issues are routed properly before reaching learners and stakeholders.

Yes, you can use this quality review process to check brand consistency and accessibility compliance simultaneously, as both are core dimensions evaluated within the same structured eight-dimension QA coverage workflow.

The best way to get actionable feedback on learning objective alignment is to request a structured quality review, which evaluates instructional soundness and intent fidelity while providing location-specific findings and clear remediation steps.