bmad-testarch-test-review

You can assess test suite quality by running a TEA-driven review that evaluates determinism, isolation, and maintainability to generate a 0–100 score. This process uses standardized validation checklists and modular worker steps to produce a prioritized improvement plan.

A TEA-based test quality review checks for test determinism, isolation, maintainability, and performance. It loads core knowledge fragments like fixture-architecture and data-factories, applying a standardized evaluation rubric to validate your test suite against best practices.

To run a test quality review on a single file, directory, or suite, you apply the configured test scope using strict frontmatter-based skill inputs. The review then processes the specified scope to produce actionable recommendations and a comprehensive report.

Yes, you can resume or edit a previous test quality evaluation. The review workflow supports create, resume, validate, and edit modes to manage long-running reviews, ensuring traceable progress and maintaining state across multiple runs.

Yes, the workflow requires the standard Python tomllib module to load configuration. This dependency is necessary to enforce strict frontmatter-based skill inputs and load the core TEA fragments required for the validation checklist.

The best way to document test quality scores for governance is to use the generate-report workflow. This produces a comprehensive final report containing the 0–100 quality score and a prioritized set of actionable recommendations for your test suite.