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Score Model Outputs With Reusable Evaluator Prompts And Metrics Using Autoevals

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Apply reusable evaluators to model outputs when you need lightweight scoring, rationale capture, or quick eval loops in code.

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  • Added June 2, 2026
ai-agentspythonrustgonodegitsecuritydocumentation

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Scanned June 2, 2026

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SKILL.md
---
name: "Score model outputs with reusable evaluator prompts and metrics using autoevals"
slug: "score-model-outputs-with-reusable-evaluator-prompts-and-metrics-using-autoevals"
description: "Apply reusable evaluators to model outputs when you need lightweight scoring, rationale capture, or quick eval loops in code."
github_stars: 861
verification: "security_reviewed"
source: "https://github.com/braintrustdata/autoevals"
author: "Braintrust"
publisher_type: "organization"
category: "Code Quality & Review"
framework: "Multi-Framework"
tool_ecosystem:
  github_repo: "braintrustdata/autoevals"
  github_stars: 861
  npm_package: "autoevals"
  npm_weekly_downloads: 1807454
---

# Score model outputs with reusable evaluator prompts and metrics using autoevals

Apply reusable evaluators to model outputs when you need lightweight scoring, rationale capture, or quick eval loops in code.

## Prerequisites

Python or Node.js, access to an OpenAI-compatible model endpoint or Braintrust proxy

## Installation

Use the upstream install or setup path that matches your environment:
- npm install autoevals
- pip install autoevals
- npx braintrust run example.eval.js
- To install the development dependencies, run make develop, and run source env.sh to activate the environment. Make a .env file from the .env.example file and set the environment variables. Run direnv allow to load the...

Requirements and caveats from upstream:
- Python 3.9 or higher
- Compatible with both OpenAI Python SDK v0.x and v1.x
- ### Python

Basic usage or getting-started notes:
- project but are implemented so you can flexibly run them on individual examples, tweak the prompts, and debug
- </div>
- <div className="tabs">

- Source: https://github.com/braintrustdata/autoevals
- Extracted from upstream docs: https://raw.githubusercontent.com/braintrustdata/autoevals/HEAD/README.md

## Documentation

- https://github.com/braintrustdata/autoevals

## Source

- [Agent Skill Exchange](https://agentskillexchange.com/skills/score-model-outputs-with-reusable-evaluator-prompts-and-metrics-using-autoevals/)

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