No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by zju-vipa · Agent Tool · ★ 400
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is Odyssey safe to install? View the security audit →
Empowering Minecraft Agents with Open-World Skills Official codebase for the paper "Odyssey: Empowering Minecraft Agents with Open-World Skills". This codebase is based on the Voyager framework. Overview Abstract: Recent studies have delved into constructing generalist agents for open-world environments like Minecraft. Despite the encouraging results, existing efforts mainly focus on solving basic programmatic tasks, e.g., material collection and tool-crafting follo
| Stars | 400 |
| Forks | 29 |
| Language | Python |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 65.6364099276132/100 |
| Open Issues | 2 |
| Last Updated | 2025-10-22 |
| Created | 2024-06-12 |
| Platforms | python |
| Est. Tokens | ~31422k |
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Odyssey is Odyssey: Empowering Minecraft Agents with Open-World Skills. It is categorized as a Agent Tool with 400 GitHub stars.
Odyssey is primarily written in Python. It covers topics such as agent, embodied-agent, fine-tuning.
You can find installation instructions and usage details in the Odyssey GitHub repository at github.com/zju-vipa/Odyssey. The project has 400 stars and 29 forks, indicating an active community.
Odyssey is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to Odyssey on Agent Skills Hub include Finance-LLMs, awesome-llm-os, LLMCompiler. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. 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: