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 zcweah1981 · MCP Server · ★ 54
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is awesome-hermes-agent-zh safe to install? View the security audit →
Hermes Agent 中文站 一套面向中文用户的 Hermes Agent 实战入口 从第一次跑通,到日常上手、现成方案、国内落地、迁移判断、排障参考,再到系统化搭建。 这里不是零散资料堆,而是一套可以顺着往下走的中文路径。 🌐 访问中文站官网:https://hermes-zh.com 🚀 01-从这开始 · 🧰 02-现成方案 · 🇨🇳 03-国内落地 · 🔄 04-从OpenClaw过来 · 🩺 05-遇到问题 · 📚 06-reference ✨ 这是什么 Hermes Agent 中文站,是一套围绕 Hermes Agent 的中文实战文档入口。 它重点解决 3 件事: 帮第一次接触 Hermes 的人,先跑通第一轮 帮已经有明确目标的人,直接找到最短入口 帮已经开始长期使用的人,继续往定制、集成、自动化和系统化搭建走 如果你不想在英文文档、零散 issue、社区碎片和旧工作流之间来回跳,这个仓库就是你的中文主入口。 先判断自己现在处于哪个阶段,再点进对应模块,会比从头硬读完整站更高
| Stars | 54 |
| Forks | 8 |
| Language | Python |
| Category | MCP Server |
| Quality Score | 54.3595243736517/100 |
| Open Issues | 99 |
| Last Updated | 2026-10-04 |
| Created | 2026-04-07 |
| Platforms | mcp, python |
| Est. Tokens | ~15k |
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awesome-hermes-agent-zh is Hermes Agent中文站- 中文实战入口:上手路径、国内落地、OpenClaw 共存迁移、排障参考与可下载方案包。. It is categorized as a MCP Server with 54 GitHub stars.
awesome-hermes-agent-zh is primarily written in Python. It covers topics such as agent, ai, ai-agent.
You can find installation instructions and usage details in the awesome-hermes-agent-zh GitHub repository at github.com/zcweah1981/awesome-hermes-agent-zh. The project has 54 stars and 8 forks, indicating an active community.
The top alternatives to awesome-hermes-agent-zh on Agent Skills Hub include openlegion, Network-AI, Commonly-used-high-value-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: