moai-ref-cross-model-audit
FeaturedCross-model audit convergence reference for the plan-auditor and sync-auditor agents. Documents how to invoke the `audit_multi` MCP tool to fan a code review out across the codex and GLM (z.ai) backends in parallel, converge their verdicts with the in-session Claude verdict, and fold the resulting per-backend verdicts + disagreement flag into the audit output. The single skill both audit entry points load — no duplication.
Install
Quality Score: 99/100
Skill Content
Details
- Author
- modu-ai
- Repository
- modu-ai/moai-adk
- Created
- 11 months ago
- Last Updated
- today
- Language
- Go
- License
- Apache-2.0
Integrates with
Similar Skills
Semantically similar based on skill content — not just same category
multi-ai-audit
Interactive orchestrator for multi-AI consensus audits with any-format input support
claude-audit
Audit a project's effective Claude Code configuration — custom and plugin-provided agents and skills — and produce a structured overlap/conflict report with keep / modify / drop recommendations scoped to the project's stated objectives. Trigger this skill whenever the user types `/claude-audit`, asks to "audit my claude config", "find overlap in my agents", "check for skill conflicts", "are any of my agents duplicates", "what's redundant in my setup", or any similar request to review the agent/skill surface for the current project. Also trigger after a fresh plugin install when the user wants to verify nothing new collides with what's already there.
convergence-monitoring
Monitor iterative improvement loops for convergence. Three signals — shrinking diff, pass-rate plateau, velocity — drive a Stop/Continue/Investigate decision at each inter-wave checkpoint. Distinct from /evolve (retrospective) and session-reviewer (wave output review): convergence-monitoring answers "are we making progress?" not "was the last wave correct?". Primary consumer: /autoresearch loops and wave-executor inter-wave checkpoints.