Flagged: sudo usage. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by camel-ai · Agent Tool · ★ 20.1k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is owl safe to install? View the security audit →
🦉 OWL: Optimized Workforce Learning for General Multi-Agent Assistance in Real-World Task Automation [![Documentation][docs-image]][docs-url] [![Discord][discord-image]][discord-url] [![X][x-image]][x-url] [![Reddit][reddit-image]][reddit-url] [![Wechat][wechat-image]][wechat-url] [![Wechat][owl-image]][owl-url] [![Hugging Face][huggingface-image]][huggingface-url] [![Star][star-image]][star-url] [![Package License][package-license-image]][package-license-url] 中文阅读 | Community | Installation | Examples | Paper | Citation | Contributing | CAMEL-AI | 🏆 OWL achieves 69.09 average score on GAIA benchmark and ranks <span style="color: #d81b60; font-weight: bold; font-size: 1
| Stars | 20,150 |
| Forks | 2,298 |
| Language | Python |
| Category | Agent Tool |
| Quality Score | 61.1785544458609/100 |
| Open Issues | 120 |
| Last Updated | 2026-09-30 |
| Created | 2025-03-03 |
| Platforms | browser, python |
| Est. Tokens | ~20k |
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owl is 🦉 OWL: Optimized Workforce Learning for General Multi-Agent Assistance in Real-World Task Automation. It is categorized as a Agent Tool with 20.1k GitHub stars.
owl is primarily written in Python. It covers topics such as agent, artificial-intelligence, multi-agent-systems.
You can find installation instructions and usage details in the owl GitHub repository at github.com/camel-ai/owl. The project has 20.1k stars and 2298 forks, indicating an active community.
The top alternatives to owl on Agent Skills Hub include claude-mem, ruflo, oh-my-claudecode. 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: