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 yomorun · MCP Server · ★ 1.9k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is yomo safe to install? View the security audit →
YoMo YoMo is an open-source LLM Function Calling Framework for building scalable and ultra-fast AI Agents. 💚 We care about: Empowering Exceptional Customer Experiences in the Age of AI We believe that seamless and responsive AI interactions are key to delivering outstanding customer experiences. YoMo is built with this principle at its core, focusing on speed, reliability, and scalability. 🌶 Features Bring AI inference and tools closer to your users with our globally distributed architecture, resulting in significantly faster response times and a superior user experience for your AI a
| Stars | 1,927 |
| Forks | 147 |
| Language | Rust |
| Category | MCP Server |
| Quality Score | 62.7413498253503/100 |
| Last Updated | 2026-09-21 |
| Created | 2020-07-01 |
| Platforms | claude-code, mcp, rust |
| Est. Tokens | ~23k |
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yomo is 🦖 Serverless AI Agent Framework with Geo-distributed Edge AI Infra.. It is categorized as a MCP Server with 1.9k GitHub stars.
yomo is primarily written in Rust. It covers topics such as a2a-protocol, agent-framework, claude-code.
You can find installation instructions and usage details in the yomo GitHub repository at github.com/yomorun/yomo. The project has 1.9k stars and 147 forks, indicating an active community.
The top alternatives to yomo on Agent Skills Hub include Upsonic, Unity-MCP, claude-code-plugins-plus-skills. 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: