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.
Install
npx skills add https://github.com/agentskillexchange/skills/tree/main/skills/benchmark-deep-research-agents-across-factual-quality-and-process-dimensions-with-miroeval
claude plugin marketplace add https://llmmart.ai/marketplace.json && claude plugin install agentskillexchange-skills@llmmart
git clone https://github.com/agentskillexchange/skills.git
The skills CLI installs just this skill, for any of its supported agents. Claude Code installs the whole agentskillexchange/skills collection as a plugin from our marketplace. Git is the plain clone.
Skill manifest
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.
Documentation
Source
Files (skills)
-
SKILL.md 1.4 KB
--- name: "Benchmark deep research agents across factual, quality, and process dimensions with MiroEval" slug: "benchmark-deep-research-agents-across-factual-quality-and-process-dimensions-with-miroeval" description: "Score deep research agents on benchmark tasks using factual verification, report-quality scoring, and process evaluation before model or workflow changes ship." github_stars: 34 verification: "listed" source: "https://github.com/MiroMindAI/MiroEval" author: "MiroMindAI" publisher_type: "organization" category: "Code Quality & Review" framework: "Multi-Framework" tool_ecosystem: github_repo: "MiroMindAI/MiroEval" github_stars: 34 --- # 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/)
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