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 ankorstore · MCP Server · ★ 839
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is yokai safe to install? View the security audit →
Yokai Simple, modular, and observable Go framework for backend applications. Goals Documentation Overview Architecture Foundations Extensions Getting started Showroom Contributing Goals Building backend applications with Go is amazing. But to build applications, you need to put in place a bunch of efforts and boilerplate code, introducing complexity not even related to the logic of your application (like dependencies wiring, configuration management, observability instrumentation, etc.). To solve this, Yokai was created with the following goals in mind: : it is easy to use, configure and test, enabling you to iterate fast and deliver quickly m
| Stars | 839 |
| Forks | 30 |
| Language | Go |
| Category | MCP Server |
| License | MIT |
| Quality Score | 60.5092388360179/100 |
| Open Issues | 3 |
| Last Updated | 2026-07-16 |
| Created | 2024-01-10 |
| Platforms | go, k8s, mcp |
| Est. Tokens | ~16k |
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yokai is Simple, modular, and observable Go framework for backend applications.. It is categorized as a MCP Server with 839 GitHub stars.
yokai is primarily written in Go. It covers topics such as backend, dependency-injection, framework.
You can find installation instructions and usage details in the yokai GitHub repository at github.com/ankorstore/yokai. The project has 839 stars and 30 forks, indicating an active community.
yokai is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to yokai on Agent Skills Hub include nunu, trpc-agent-go, context-space. 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: