pokemon-ontology-qa

Run phased QA assertions to validate data integrity, curriculum prerequisites, and exercise-to-triple answer alignment. This verifies that Pokémon examples exist correctly and exercises match the underlying ontology mapping across iterative edits.

The best way to verify embedded JSON is to perform build artifact correctness checks that parse and verify JSON embeds in the dist output. This deterministic validation confirms that your distribution build loads and parses runtime data without errors.

To test responsive UI behavior, run mobile viewport regression checks across common mobile, tablet, and desktop widths. This catches truncation, overflow-x, and graph container rendering problems to ensure stable layout behavior.

Yes, this QA testing approach works for graph slice compatibility by verifying that exercises and graph slices remain structurally compatible. It applies deterministic checks to ensure ontology mappings and graph structures align correctly across content updates.

Broken references occur because iterative edits can desynchronize data, content, and graph slices. Running boundary-cross QA coverage checks data-to-content and content-to-exercise alignment, verifying that all modules and datasets remain mutually consistent.