# 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.

- Skill: `agentskillexchange/score-model-outputs-with-reusable-evaluator-prompts-and-metr` (Agent Skill)
- Install (CLI): `npx skillmds@latest add agentskillexchange/score-model-outputs-with-reusable-evaluator-prompts-and-metr`
- Raw SKILL.md: https://api.skillmd.com/api/skills/agentskillexchange/score-model-outputs-with-reusable-evaluator-prompts-and-metr/raw
- Safety review: pending (external: skill-scanner PASS, skillspector CAUTION)
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: AI & ML
- Author: agentskillexchange (https://skillmd.com/u/agentskillexchange)
- Updated: 2026-09-08
- Page: https://skillmd.com/skills/agentskillexchange/score-model-outputs-with-reusable-evaluator-prompts-and-metr

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# 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
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- 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/)