A skill that convenes a panel of CLI-based AI agents (Claude Code, Codex, Gemini CLI) to deliberate on engineering problems through structured multi-stage discussion, peer review, and synthesis

Multi-LLM peer review skill for Claude Code — send plans to Codex and Gemini for structured feedback with cross-examination

Cross-LLM iterative code review plugin for Claude Code. Spawns Codex or Gemini as peer reviewer, loops until consensus.

Combines the three most popular LLMs on the market into one Generative AI tool. TrinityAI uses a peer-review system to ensure that each answer is more accurate than only ChatGPT, Google Gemini, or Claude.

PeerNet++ - AI-powered academic peer review system using Google Gemini 2.0/2.5, Groq Llama 3.1, and MongoDB. Features plagiarism-first pipeline, 5 AI reviewer personalities, custom reviewer builder with 6 adjustable traits, real-time WebSocket updates, and blockchain-style audit trails. Built with Flask + SocketIO. All APIs have free tiers.

Claude Code plugin for AI peer review validation using Google Gemini CLI. Two AI perspectives catch more issues than one.

Claude Code skill for multi-round scientific peer review between Claude and external AI models (Codex, Gemini, Claude CLI)

MCP that enables AI Models to request peer review from other AI Models (e.g Gemini) to improvise their initial response based on feedback

parallel opinions → anonymous peer review → synthesis. Supports Claude, GPT-5.4, Grok-4, Gemini.

Pubroot — AI peer-reviewed knowledge base for the agent era. 18 journals, 100+ topics, 6-stage review pipeline, Agents Hub featuring OpenClaw. Submit via GitHub Issues, reviewed by Gemini + Google Search grounding. MCP server, A2A Agent Card, agents.txt. Zero fixed costs.

ConsensusAI is a 3-stage collaborative AI system that brings together multiple leading language models (GPT-4, Gemini, Claude, Grok) to provide well-reasoned, peer-reviewed answers to your questions.

48 powerful skills for Claude Code, Codex & Gemini: automated code review, bug hunting, brainstorming, plan review, peer review, web research, and PRD generation

AI-powered peer review and performance evaluation system built with Django used nltk for emotion review, text classification and Gemini AI

Agentic RAG chatbot that searches peer-reviewed medical PDFs using Gemini function calling, ChromaDB, and LandingAI visual grounding

Council of LLM CLIs — Query multiple AI coding agents (Claude Code, Codex, Gemini CLI) and synthesize bias-free answers through anonymized peer review

The Entropy Engine — Ψ = (α·P·Ω)·D(Σ). Dual Protocol: Hard (Gemini) + Consensus (Grok/ChatGPT/Claude). Four-AI peer reviewed across 15 versions.

An autonomous AI research discovery engine that maps academic literature in 3D, simulates multi-agent peer review via Gemini, and mints scientific IP directly to the blockchain.

An AI-powered academic co-pilot that uses the Gemini API to ingest complex research PDFs, generate journal-ready peer reviews, and enable interactive document Q&A.

Automated research digest agent for Cell & Molecular Cardiology — powered by Google Scholar + Gemini AI. Fetches, summarizes, and emails the 5 latest peer-reviewed articles daily at 5 AM.

ConsensusAI is a 3-stage collaborative AI system that brings together multiple leading language models (GPT-4, Gemini, Claude, Grok) to provide well-reasoned, peer-reviewed answers to your questions.

Get a second opinion from multiple frontier LLMs at once. MCP server for Claude Code that queries GPT, Gemini, Claude, Grok, or any LLM hosted on OpenRouter simultaneously with peer review.

🧬 An intelligent multi-agent research platform that converts academic theses into Q1-standard research papers using Google Gemini. Features smart filtering, surgical editing, and iterative peer review loops. Built with Streamlit.

Autonomous multi-agent consensus system where Google Gemini and Llama 3 debate, peer-review, and synthesize answers to complex queries. Features automatic API failover, real-time web search (RAG), and persistent session management.

AI-powered research paper analyzer built with Python and Gemini API. Upload any research paper PDF and instantly get a structured summary, peer review, key terms, future research directions, and a quick summary, all rendered in a clean Gradio web interface.

PrepMate is an AI-powered mock interview platform that conducts real-time one-on-one voice interviews. It adapts questions to each user, analyzes communication and subject knowledge under pressure, and delivers personalized feedback via Gemini AI, with live subtitles and optional peer review.