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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.
$10
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.
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
Works the same in every agent - Claude, Cursor, Codex, Copilot and 20+ more.
- 1
Download the ZIP
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- 2
Unzip into your skills folder
Every agent reads skills from one folder on your machine. Drop the unzipped folder in there.
- 3
Ask your agent to use it
Restart the agent if it was already running. It picks the skill up automatically - no config needed.
Skills folder by agent
Click the path to copy it. Create the folder if it does not exist yet.
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Verified clean 4 months ago
- Passed all security checks, Safe to install