OpenEarthAgent: [ECCV 2026 ] OpenEarthAgent is a unified framework for tool-augmented geospatial agents

by mbzuai-oryx · Agent Tool · ★ 130

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How to install OpenEarthAgent

git clone https://github.com/mbzuai-oryx/OpenEarthAgent.git

Taken from the project's README on GitHub.

Security audit verdict: SAFE · quality 65/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours.

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

Quick Facts

Stars130
Forks13
LanguagePython
CategoryAgent Tool
Quality Score65/100
Open Issues1
Last Updated2026-10-26
Created2026-02-20
Platformspython
Est. Tokens~16k

About OpenEarthAgent

A Unified Framework for Tool-Augmented Geospatial Agents Akashah Shabbir\, [Muhammad Umer Sheikh]()\, [Muhammad Akhtar Munir](),[Hiyam Debary](),[Mustansar Fiaz](),[Muhammad Zaigham Zaheer](), [Paolo Fraccaro](), [Fahad Shahbaz Khan](), [Muhammad Haris Khan](), [Xiao Xiang Zhu]() , [Salman Khan]() Mohamed bin Zayed University of Artificial Intelligence, IBM Research, Linköping University,...

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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