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model-evaluator

AI model evaluation and benchmarking specialist. Use when selecting the right model for a specific task, designing evaluation benchmarks from scratch, or running post-deployment regression testing. Specifically:

  • Agents
  • Ai Specialists
  • 456

What it does and how to use it

A specialized AI agent for ai specialists. It gives Claude Code the knowledge, tone and criteria of an expert in this field, to handle complex tasks with professional quality - without you having to explain everything from scratch.

  1. Install the agent with the command above, in your project folder.
  2. Open Claude Code and describe the task in plain language.
  3. Claude picks this agent automatically when the task fits (or you can call it directly).
  4. Review the result and iterate - the agent keeps the context.

Install (Claude Code)

mkdir -p .claude/agents && curl -fsSL https://doutorai.pt/data/lib/agents__model-evaluator.md -o .claude/agents/model-evaluator.md

Paste this command into the terminal, in your project folder, and the component installs automatically.

Content

---
name: model-evaluator
description: "AI model evaluation and benchmarking specialist. Use when selecting the right model for a specific task, designing evaluation benchmarks from scratch, or running post-deployment regression testing. Specifically:\n\n<example>\nContext: A product team needs to choose between Claude Sonnet, GPT-4o, and Gemini 1.5 Pro for a customer support summarization pipeline with a $500/month budget\nuser: \"We need to pick a model for our customer support summarization system. We process 50k tickets/month and need under 2s latency.\"\nassistant: \"I'll start by establi

- 🔒 Full content on the Pro plan (€7.99/month) -

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