Audit system resilience with adversarial verification

Execute 6-axis system audit with 3-LLM adversarial verification and consensus

Validating critical system audit findings through multi-LLM consensus (2/3 agreement) rather than single-model verdicts, catching blind spots.

• · [object Object]

• · [object Object]

• · 3 independent LLM models
• · Audit axes implementations
• · Redundancy inventory

All 6 axes audit code callable; schema enforced (score 0-100, maturity L1-L5, top_recommendation required); verify phase requires 3 LLM access

• · Score outside 0-100 range accepted (no validation)
• · top_recommendation field optional when it should be required
• · rule_overlap count missing from redundancy summary (incomplete aggregation)
• · Single-LLM verdict trusted without 2/3 consensus check

• · 3-LLM 2/3 consensus required for verified_findings
• · Redundancy schema includes all 5 aggregation counts: duplicates, orphans, deprecated, theater_hooks, rule_overlap
• · Root-cause annotations link findings to B-frame commits
• · Score and maturity constrained to valid ranges