awesome-hermes-agent-zh — security grade SAFE, quality 54/100

Security audit verdict: SAFE · quality 54/100

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 →

About awesome-hermes-agent-zh

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

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Quick Facts

Stars54
Forks8
LanguagePython
CategoryMCP Server
Quality Score54.3595243736517/100
Open Issues99
Last Updated2026-10-04
Created2026-04-07
Platformsmcp, python
Est. Tokens~15k

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Frequently Asked Questions

What is awesome-hermes-agent-zh?

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.

What programming language is awesome-hermes-agent-zh written in?

awesome-hermes-agent-zh is primarily written in Python. It covers topics such as agent, ai, ai-agent.

How do I install or use awesome-hermes-agent-zh?

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.

What are the best alternatives to awesome-hermes-agent-zh?

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.

How this security grade is produced

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:

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