moai-ref-cross-model-audit
moai-ref-cross-model-audit is a Multi-agent review & consensus skill for AI agents, published by modu-ai in the moai-adk repository on GitHub. Skillspace rates moai-ref-cross-model-audit D (59/100) and it passed the safety scan; the rating is based on static analysis only.
Cross-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.
- Grade
- D
- Quality
- 59 / 100
- Safety
- Passed
- GitHub stars
- 1,212
Unproven: rated by static analysis only, not yet compared head-to-head.
Our two independent classifiers differ on this skill's category, so treat the placement as provisional.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 84 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
Not checked yet
- Category is a classifier prediction; no model has read this skill yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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