Agent Skillsmodu-ai/moai-adk › moai-ref-cross-model-audit

moai-ref-cross-model-audit

GitHub

用于多模型代码审查收敛,通过audit_multi MCP工具并行调用Codex和GLM后端,结合Claude结果生成综合审计结论。

.claude/skills/moai-ref-cross-model-audit/SKILL.md modu-ai/moai-adk

Trigger Scenarios

项目配置为多模型审计模式 需要聚合多个AI模型的代码审查意见

Install

npx skills add modu-ai/moai-adk --skill moai-ref-cross-model-audit -g -y
More Options

Non-standard path

npx skills add https://github.com/modu-ai/moai-adk/tree/main/.claude/skills/moai-ref-cross-model-audit -g -y

Use without installing

npx skills use modu-ai/moai-adk@moai-ref-cross-model-audit

指定 Agent (Claude Code)

npx skills add modu-ai/moai-adk --skill moai-ref-cross-model-audit -a claude-code -g -y

安装 repo 全部 skill

npx skills add modu-ai/moai-adk --all -g -y

预览 repo 内 skill

npx skills add modu-ai/moai-adk --list

SKILL.md

Frontmatter
{
    "name": "moai-ref-cross-model-audit",
    "metadata": {
        "status": "active",
        "version": "1.0.0",
        "category": "domain"
    },
    "description": "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.\n",
    "when_to_use": "Use when the project's `audit_model` is `multi` AND the auditor needs a cross-backend second opinion before reaching a verdict. Single-backend paths (claude-only, codex-only, or glm-only) do NOT load this skill — the `audit_multi` tool is the multi-model entry point only. Also use when the auditor must explain WHY the convergence result is a pass, fail, or advisory-only disagreement.\n",
    "user-invocable": false
}

Cross-Model Audit Convergence

This skill is the single load-point both plan-auditor and sync-auditor use when the project opts into multi-model audit (audit_model: multi). It documents the one MCP tool the auditor calls, the independence rule that tool enforces, and how to fold the returned convergence result into the auditor's verdict.

When to use convergence vs single-model

Project setting Path Skill
audit_model: claude (default) Claude reviews alone (none — no second opinion needed)
audit_model: codex Codex reviews alone moai-ref-owasp-checklist etc., no convergence
audit_model: glm GLM reviews alone (same)
audit_model: multi Claude + codex + GLM, converged this skill

Single-model paths do NOT load this skill. Convergence is only the multi-model concern.

The audit_multi MCP tool

The single tool surface is:

mcp__moai__audit_multi

It is exposed by the moai mcp-server stdio server (the self-hosted MCP server shipped with the binary). The tool is a thin wrapper over the convergence engine: it does NOT re-implement the codex or GLM backends — it fans out by calling the existing single-backend handlers in parallel and synthesizes their results.

Input parameters

Parameter Type Required Notes
claude_verdict object YES The in-session Claude review verdict. Object shape: {verdict, summary, findings, next_steps} — the same review-output.schema.json the single-backend tools return.
target string no What the secondary backends review (uncommittedChanges, baseBranch). Passed through unchanged.
focus string no Optional focus area forwarded to the secondary backends (e.g. concurrency, auth).
gates object no Per-auditor gate map (claude/codex/glmoff/advisory/required). When omitted, distributed defaults apply: claude required, codex required, glm advisory.
session_id string no When set, the result is persisted to .moai/state/audit-multi/<session>.json so the multi-review-gate Stop hook reads the most recent result rather than re-invoking convergence.

Output shape

The tool returns a ConvergenceResult:

{
  "per_backend_verdicts": [
    {"backend": "claude", "gate": "required", "verdict": "pass", "summary": "...", "findings": [], "next_steps": []},
    {"backend": "codex",  "gate": "required", "verdict": "fail", "summary": "...", "findings": [...], "next_steps": [...]},
    {"backend": "glm",    "gate": "advisory", "verdict": "pass", "summary": "...", "findings": [], "next_steps": []}
  ],
  "overall_verdict": "fail",
  "disagreement_flag": true,
  "residual_risk_note": "cross-model disagreement (advisory, NOT a block): pass=[claude(required), glm(advisory)] fail=[codex(required)]",
  "fail_open_backends": []
}
  • overall_verdict{pass, fail} — the existing review-output values. No new enum (disagreement is a flag, not a verdict value).
  • disagreement_flag is true when either a required split OR an advisory-only conflict was detected.
  • residual_risk_note describes the convergence outcome in prose (which backend(s) failed, or the shape of the split). Surface this in the audit report's residual-risk section.
  • fail_open_backends lists the backends that returned inconclusive (missing, unauthenticated, or erroring) — surfaced so the report can name them.

How to invoke

Call the tool with the in-session Claude analysis folded into the claude_verdict object. Do NOT pass the full Claude analysis text as prompt context for the secondary backends — see the Independence rule below.

result = mcp__moai__audit_multi({
  claude_verdict: { verdict: <your verdict>, summary: <one-line>, findings: [...], next_steps: [...] },
  target: "uncommittedChanges",
  focus: "concurrency",
  session_id: <current session id>
})

The orchestrator-side question channel is preserved: the tool returns a structured result, never prompts the user. On a missing anchor or inconclusive condition, surface the structured overall_verdict: fail + residual_risk_note in the audit report and let the orchestrator translate.

Independence rule (load-bearing)

Pass only the synthesized claude_verdict object to the MCP tool — NEVER the full Claude analysis text as prompt context for the secondary backends.

The secondary backends (codex, GLM) are SUPER-REVIEWS: uncorrelated second opinions. Their value collapses to a re-sample of Claude's reasoning the moment they see Claude's analysis. The convergence engine enforces this structurally — the claude_verdict is consumed ONLY by the synthesis step, and the secondary backends receive (target, focus) alone — but the auditor must not undermine the invariant by pasting Claude's reasoning into the focus field either.

Concretely:

  • focus carries a short AREA name (concurrency, auth, secret handling), not a paragraph of analysis.
  • claude_verdict.summary is a one-line verdict rationale, not the full review.
  • The findings you surface in the audit report come from per_backend_verdicts[].findings (each backend's own findings), NOT from echoing Claude's findings back.

Convergence policy (how overall_verdict is derived)

The engine derives overall_verdict per a 4-case table:

Case Condition overall_verdict disagreement_flag
1 All required backends PASS pass false
2 Any required FAIL (no required PASS to split against) fail false
3 Required split (≥1 required PASS + ≥1 required FAIL) fail (conservative) true
4 Advisory-only conflict (all required PASS, ≥1 advisory FAIL) pass true

Two invariants follow:

  • Disagreement is advisory, NOT a block. A disagreement_flag: true result is surfaced as residual-risk + advisory in the audit report; it never hard-blocks the flow on its own. The required-gate contract holds per backend, so the only block-shaped outcome is a required FAIL (cases 2/3 → overall_verdict: fail).
  • Advisory backends never flip overall to fail. Case 4 records the advisory conflict but keeps overall_verdict: pass. This is the fixed user-policy term: an advisory FAIL is reported, not enforced.

Fail-open identity

Codex and GLM are OPTIONAL. A missing, unauthenticated, erroring, or malformed backend yields verdict: inconclusive in its per_backend_verdicts slot and convergence continues over the remaining active backends. The autonomous flow is NEVER hard-blocked on a missing optional dependency — evidence-of-absence ≠ evidence-of-failure.

When ALL non-Claude backends are inconclusive, the overall verdict fails open to the in-session Claude verdict (the always-available anchor).

Folding the result into the audit verdict

The auditor's verdict and the convergence result relate as follows:

overall_verdict disagreement_flag Auditor action
pass false Standard PASS. No residual-risk row needed.
pass true PASS with a residual-risk row naming the advisory disagreement.
fail (any) FAIL. Name the failing required backend(s) from per_backend_verdicts. The block is conservative (cases 2/3).

In all cases, surface residual_risk_note verbatim in the audit report's residual-risk section so a human reader sees which backend disagreed with which.

Cross-references

  • mcp__moai__codex_audit, mcp__moai__glm_audit — the single-backend tools whose handlers the convergence engine reuses (the engine does NOT re-implement them).
  • workflow.audit.gates.* — the per-auditor gate map (off/advisory/required).
  • workflow.multi.review_gate.enabled — opt-in toggle for the multi-review-gate Stop hook (the Path C fully-autonomous gate). Default OFF; opt in via local config.

Version History

  • 4100d87 Current 2026-08-20 09:09

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