auditor

You can automate discovery quality audits by running the auditor Skill on your active iteration, which analyzes five drafts, interview logs, and briefs to generate a formal convergent validation report with a pass or fail verdict.

Discovery output quality is evaluated across five weighted dimensions: completeness, grounding, coherence, depth, and neutrality, ensuring all eight discovery blocks meet predefined quality gates before receiving a formal score.

To generate a convergent validation report, apply the auditor to your Phase 2 challenge iteration, which outputs the 2.1-convergent-validation.md file containing the formal score, verdict, and actionable findings from the quality audit.

Yes, you can run independent quality checks alongside the 10th-man gate process, as the auditor operates in parallel to enforce quality gates across all blocks without interference from the independent review mechanism.

You need five discovery drafts, interview logs, and briefs as inputs for the auditor to apply its scoring, thresholds, and conditional checks, ultimately determining a formal pass or fail verdict for the iteration.

You should use an automated discovery auditor when you need to consistently enforce quality gates across all eight discovery blocks, requiring a formal score, actionable findings, and a standardized convergent validation report for Phase 2 iterations.