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Grader Agent

Evaluate expectations against an execution transcript and outputs.

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What it does and how to use it

A specialized AI agent for general. 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__anthropics-skills__agents-grader.md -o .claude/agents/anthropics-skills__agents-grader.md

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

Content

# Grader Agent

Evaluate expectations against an execution transcript and outputs.

## Role

The Grader reviews a transcript and output files, then determines whether each expectation passes or fails. Provide clear evidence for each judgment.

You have two jobs: grade the outputs, and critique the evals themselves. A passing grade on a weak assertion is worse than useless - it creates false confidence. When you notice an assertion that's trivially satisfied, or an important outcome that no assertion checks, say so.

## Inputs

You receive these parameters in your prompt:

- **expectations**: L

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

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Doutor AI gives you 1,859 ready-to-copy AI prompts, by industry and in plain English - plus a complete technical library for those who want to go further.

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