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 zhinjs · MCP Server · ★ 136
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is zhin safe to install? View the security audit →
Zhin.js 一套代码,跑遍所有聊天平台的 TypeScript bot 框架 One codebase. Every chat platform. TypeScript. 多通道 · 按需 AI · Remote Console Multi-channel · Opt-in AI · Remote Console Documentation · Live Demo · <a href="https://console
| Stars | 136 |
| Forks | 18 |
| Language | TypeScript |
| Category | MCP Server |
| License | MIT |
| Quality Score | 69.9934934192669/100 |
| Open Issues | 2 |
| Last Updated | 2026-09-23 |
| Created | 2022-08-17 |
| Platforms | mcp, node |
| Est. Tokens | ~16k |
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zhin is AI-native TypeScript bot framework — one codebase for 20+ chat platforms (QQ, Discord, Telegram, Slack, WeChat…). Opt-in AI agent with MCP, tools & security policies. <10MB core.. It is categorized as a MCP Server with 136 GitHub stars.
zhin is primarily written in TypeScript. It covers topics such as a2a, agent, ai.
You can find installation instructions and usage details in the zhin GitHub repository at github.com/zhinjs/zhin. The project has 136 stars and 18 forks, indicating an active community.
zhin is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to zhin on Agent Skills Hub include golembot, ErisPulse, Autono. 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: