Works with the AI tools you already use
Multi Model Review Router
Orchestrate independent reviews, adversarial audits, and multimodal analysis via secondary models and external tools.
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See it in action
You say
I have just produced a migration script that modifies the authentication token handling path. Before I mark it complete, route this for independent adversarial review and return a report of any issues found.
Your agent does
The skill classifies the request as a risk-path review trigger, checks tool availability against the readiness checklist, confirms authorisation for external routing, invokes the configured reviewer with a structured prompt, and integrates the findings into a final adjudicated response. The output includes the route used, reason for routing, input scope reviewed, reviewer findings, the active agent's adjudication, confirmed issues, open risks, evidence references, and a route log entry covering input scope, tool used, sensitivity level, and output location.
What you get
About this skill
What it does
The Multi-Model Review Router is a sophisticated orchestration layer that enables your AI agent to delegate specialized tasks to external models and tools. It acts as a safety-first "dispatcher" for high-stakes scenarios such as adversarial code reviews, multi-model consensus, and long-context repository analysis.
Why use this skill
Prompting an AI yourself often leads to "hallucination loops" where the agent validates its own mistakes. This skill breaks that cycle by enforcing independent verification. It provides a structured framework for:
- Adversarial Validation: Explicitly seeking flaws in a proposed plan or code change.
- Rescue Operations: Automatically triggering a second opinion after repeated task failures.
- Specialized Routing: Sending video, audio, or massive repositories to the specific models (like Gemini or local LLMs) best equipped to handle them.
Supported Scenarios
The skill is designed to integrate with external tools in your environment, including CLI-based reviewers, MCP servers, and secondary APIs. It produces an adjudicated report that combines raw findings from external tools with a final decision-making summary.
How to install
Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.
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