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Deep Research Eval Framework

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DeepResearchEval: An Automated Framework for Deep Research Task Construction and Agentic Evaluation. From arXiv:2601.09688

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  • Added September 9, 2026
ai-agents

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A100/100

Scanned September 9, 2026

npx -y skills add ADu2021/skillXiv --skill deep-research-eval-framework --agent claude-code

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SKILL.md
---
name: deep-research-eval-framework
title: "DeepResearchEval: An Automated Framework for Deep Research Task Construction and Agentic Evaluation"
version: 0.0.2
engine: skillxiv-v0.0.2-claude-opus-4.6
license: MIT
url: "https://arxiv.org/abs/2601.09688"
keywords: ['DeepResearchEval']
description: "DeepResearchEval: An Automated Framework for Deep Research Task Construction and Agentic Evaluation. From arXiv:2601.09688"
---

## Overview

This skill implements the approach from the paper: DeepResearchEval: An Automated Framework for Deep Research Task Construction and Agentic Evaluation

## Purpose

Implements advanced techniques for agent reasoning, search, and learning described in arXiv:2601.09688.

## Method

[To be populated from full paper analysis]

## When NOT to use

- Oversimplified reasoning tasks
- Time-critical applications requiring minimal overhead
- Scenarios not matching the paper's problem formulation

## References

- Paper: https://arxiv.org/abs/2601.09688
- HTML: https://arxiv.org/html/2601.09688

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