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 huimeicloud · MCP Server · ★ 106
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is hm_editor safe to install? View the security audit →
惠每电子病历编辑器 HmEditor 集成AI、满足信创、开源的医疗电子病历编辑器 目录 惠每电子病历编辑器 HmEditor 目录 项目简介 特性亮点 快速开始 Docker 部署（推荐） 源码编译部署 访问页面 示例代码 在线演示 文档与二次开发 开源协议 反馈与交流 项目简介 HmEditor 是一款专为医疗行业设计的智能电子病历编辑器插件，结合 CKEditor4 文本编辑功能与自研 AI 技术，为医院信息科和 EMR 厂商提供高效、灵活、智能化的病历编辑解决方案。支持多种病历模板创建与编辑，具备强大的数据绑定能力，并可与医疗信息系统无缝对接。 特性亮点 完全开源，LGPLv2.1 协议，开箱即用 丰富数据元组件：文本、时间、单选、多选、下拉、表格、图片、示意图等 原生 JS 开发，纯前端运行，易集成，支持多平台 智能病历编辑：修订、只读、水印、AI 服务对接 支持信创，兼容国产操作系统 快速开始 Docker 部署（推荐） 源码编译部署 访问页面 编辑器 SDK 演示：[http://127.0.0.1:7070/hmEditor/demo/index.html](http://127.0.0.1:7070/
| Stars | 106 |
| Forks | 41 |
| Language | HTML |
| Category | MCP Server |
| License | LGPL-2.1 |
| Quality Score | 63.4543214007069/100 |
| Last Updated | 2026-07-10 |
| Created | 2025-06-18 |
| Platforms | cli, docker, mcp |
| Est. Tokens | ~16k |
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hm_editor is 一款轻量级、可扩展的、跨平台的、专为医疗信息化设计的电子病历编辑器内核，为EMR（电子病历系统）提供专业的结构化病历编辑与AI接入解决方案。. It is categorized as a MCP Server with 106 GitHub stars.
hm_editor is primarily written in HTML. It covers topics such as ai, ai-agents, ai-assistant.
You can find installation instructions and usage details in the hm_editor GitHub repository at github.com/huimeicloud/hm_editor. The project has 106 stars and 41 forks, indicating an active community.
hm_editor is released under the LGPL-2.1 license, making it free to use and modify according to the license terms.
The top alternatives to hm_editor on Agent Skills Hub include daymon, gopher-mcp, Context-Engine. 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: