DeepResearchEval: An Automated Framework for Deep Research Task Construction and Agentic Evaluation. From arXiv:2601.09688
Scanned 9/9/2026
Install to Claude Code
npx -y skills add ADu2021/skillXiv --skill deep-research-eval-framework --agent claude-codeInstalls into .claude/skills of the current project.
Are you the author of Deep Research Eval Framework?
Add the live security badge to your README — it updates automatically with every re-scan.
[](https://www.skillsdirectory.com/skills/adu2021-deep-research-eval-framework)More formats (shields.io, HTML) on the badges page.
---
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
Is this your skill, or is something wrong with this listing? Request removal or report an issue. Author removals are honored within 72 hours.
No comments yet. Be the first to comment!