A tidy funnel chart can hide incompatible denominators, silent routing fallbacks, duplicated events, mixed currencies, or a stage definition that changed without an effective date. Those are control problems, not dashboard formatting problems.
This skill turns CRM exports, automation rules, funnel reports, and team definitions into an evidence-bound revenue operations audit. It maps which system owns each field, keeps contacts and opportunities at the right grain, reconciles stage movement, tests scoring boundaries and routing conflicts, rebuilds metric definitions, and records every unresolved exception with an owner and closure requirement.
Use it before changing lead scoring, routing, lifecycle automation, pipeline reporting, or a board metric. It can also review a suspected handoff leak or a dashboard disagreement. The output separates observed evidence, stakeholder claims, inferences, and proposals, then returns one of four explicit verdicts: effective, effective with exceptions, not effective, or insufficient evidence.
Version 1.0.0 was evaluated with gpt-5.6-sol in 12 fresh read-only contexts. The candidate scored 100 across three cases, compared with 83.33 for the same agent without the skill and 78.75 for the exact free upstream. The cases covered funnel reconciliation, scoring and routing launch controls, and pipeline/SLA board metrics. This evaluation measures the supplied cases, not live CRM correctness or buyer outcomes.
The package includes a local checker for the optional canonical JSON audit record. Passing it confirms structure, references, reconciliation arithmetic, and verdict precedence. It does not prove that an export is complete or that a production control worked. Maintenance and install support are handled by the platform-operated publisher for this listing.