multi-model-reviewer

Cross-check Specification, Program, and Test mismatches with multiple AI models and output a structured JSON report.

2|Updated Dec 24, 2025
One-click install
npx skills add https://github.com/knowlet/pf-skills --skill multi-model-reviewer
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: multi-model-reviewer
Source: https://github.com/knowlet/pf-skills/tree/main/skills/multi-model-reviewer
Command: npx skills add https://github.com/knowlet/pf-skills --skill multi-model-reviewer

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires httpx, pyyaml, and includes scripts (resource) components.

What problem does it solve?

協調多個 AI 模型(ChatGPT、Gemini、Codex、QWEN、Claude)進行三角驗證,確保「Specification == Program == Test」一致性。過濾假警報後輸出報告,大幅減少人工介入時間。

Core Features & Use Cases

  • 透過多模型交叉驗證,確保規格與程式、測試之間的一致性
  • 平行執行多模型審查,並由 Claude 進行假警報過濾
  • 輸出結構化報告,便於代碼審查與 CI/CD 流程

Quick Start

在 Spec、Program 與 Test 目錄上執行多模型審查以產出一致性報告。

Frequently Asked Questions about multi-model-reviewer

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I check spec-program-test alignment using multiple AI models?

Spec-program-test alignment validates consistency across specifications, program code, and test suites. This Skill coordinates multiple AI models to cross-check domain events, invariants, and acceptance criteria, producing a structured JSON report after filtering false positives.

Can I use multi-model review for automated PR reviews in CI pipelines?

Yes, multi-model review applies directly to PR reviews and CI pipelines. The Skill executes parallel cross-validation across models like ChatGPT, Gemini, Codex, and QWEN to identify mismatches and output a structured JSON consistency report.

How do I reduce false positives in automated code reviews?

Reducing false positives in automated code reviews requires an arbiter model to validate initial findings. This Skill uses Claude to filter incorrect mismatch warnings after parallel multi-model cross-validation across specifications, programs, and tests.

What dependencies do I need to run multi-model review scripts?

You need httpx and pyyaml dependencies to run the multi-model review scripts. The Skill uses these libraries to coordinate parallel AI model execution and output structured JSON reports for code review validation.

Does multi-model review work for checking domain invariants and use cases?

Yes, multi-model review works for checking domain invariants and use cases. The Skill performs robust cross-checks for domain events, invariants, use cases, and acceptance criteria to ensure specification, program, and test alignment.