quality-validation

To validate an implementation plan before coding, you must check it against predefined quality metrics and scoring thresholds. This ensures systematic defect prevention by enforcing quality gates before development begins.

Quality validation for implementation plans uses granular scoring across Completeness, Accuracy, Citation, Actionability, Safety, Clarity, and Alignment to ensure adherence to quality standards.

Automated quality gates enforce scoring criteria at critical junctures including Research to Planning, Planning to Implementation, and Implementation to Completion, preventing progression of substandard work.

Yes, you can validate research packs against a minimum quality score threshold, such as 85, ensuring APIs align with research findings and preventing progression until standards are met.

Quality validation should be used when a development workflow requires rigorous quality assurance before proceeding to subsequent phases, specifically validating ResearchPacks and Implementation Plans.

Quality validation does not require specific testing frameworks or external dependencies, applying its defined scoring thresholds directly to validate ResearchPacks and Implementation Plans.