How do we know the governance rules actually fired?

This is the question behind most AI governance anxiety: not whether rules exist, but whether they executed. A rule that silently failed to load produces a fluent answer with nothing indicating the governance was missing — the most dangerous class of failure because it consumes the reviewer's trust.

Because skills are pre-indexed and loaded explicitly rather than concatenated into a prompt, Centralpoint records which skills were assembled for each execution. A governance rule that failed to load appears as a gap in the log rather than being inferred from output quality. Reporting over the logging tables turns 'did our rules apply' into a query with a count.