Installs into .claude/skills of the current project.
Are you the author of Score Model Outputs With Reusable Evaluator Prompts And Metrics Using Autoevals?
Add the live security badge to your README. It updates with every re-scan.
[](https://www.skillsdirectory.com/skills/agentskillexchange-score-model-outputs-with-reusable-evaluator-prompt)
---
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/)