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    Multi Model Review Router

    2

    Orchestrate independent reviews, adversarial audits, and multimodal analysis via secondary models and external tools.

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    multi-model-review-router

    multi-model-review-router

    Example session with this skill installed

    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.

    • Read your context and instructions
    • Compiled the multi-model-review-router

    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.

    Connects securely to your tools. The creator never sees your data.

    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 use

    Skills on Agensi run inside your AI agent. Copy the prompt, paste it into your agent, and it connects to Agensi and installs this skill for you. If a payment is needed, your agent shows it to you first.

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    Trust & safety

    Security scanned

    Verified clean 4 months ago

    • Passed all security checks, Safe to install

    Listed4 months ago

    What's inside

    Frequently Asked Questions