# Benchmark deep research agents across factual, quality, and process dimensions with MiroEval

> Score deep research agents on benchmark tasks using factual verification, report-quality scoring, and process evaluation before model or workflow changes ship.

- Skill: `agentskillexchange/benchmark-deep-research-agents-across-factual-quality-and-pr` (Agent Skill)
- Install (CLI): `npx skillmds@latest add agentskillexchange/benchmark-deep-research-agents-across-factual-quality-and-pr`
- Raw SKILL.md: https://api.skillmd.com/api/skills/agentskillexchange/benchmark-deep-research-agents-across-factual-quality-and-pr/raw
- Safety review: pending (external: skill-scanner PASS, skillspector PASS)
- 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/benchmark-deep-research-agents-across-factual-quality-and-pr

---


# Benchmark deep research agents across factual, quality, and process dimensions with MiroEval

Score deep research agents on benchmark tasks using factual verification, report-quality scoring, and process evaluation before model or workflow changes ship.

## Prerequisites

Python, uv, model result JSON, required API keys for judge and retrieval services

## Installation

No source-backed install or usage instructions could be extracted automatically. Review the upstream project before running this skill in a sensitive workflow.

- Source: https://github.com/MiroMindAI/MiroEval

## Documentation

- https://github.com/MiroMindAI/MiroEval

## Source

- [Agent Skill Exchange](https://agentskillexchange.com/skills/benchmark-deep-research-agents-across-factual-quality-and-process-dimensions-with-miroeval/)