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 vibeinging · MCP Server · ★ 587
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is dsh-desktop safe to install? View the security audit →
DSH Desktop 以官方 DSH Web 为核心的插件化桌面工作台。 精选社区 Bundle、离线 Profile、Git Worktree、文件附件与受控原生能力，组合在一个 Electron 应用中。 独立的社区开源项目，与深度求索不存在隶属、合作、授权或背书关系。中文 · English · 二次元版 README DSH Desktop 是社区维护的 Electron 发行版。它固定并运行官方 DeepSeek Harness npm 运行时，把 、Session、Agent、To
| Stars | 587 |
| Forks | 35 |
| Language | JavaScript |
| Category | MCP Server |
| License | MIT |
| Quality Score | 59.7844771961016/100 |
| Open Issues | 5 |
| Last Updated | 2026-09-15 |
| Created | 2026-08-13 |
| Platforms | browser, mcp, node |
| Est. Tokens | ~16k |
These tools work well together with dsh-desktop for enhanced workflows:
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PawWork — free, open-source desktop AI agent for macOS and Windows, built on DeepSeek Harness (DSH). Free mode
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dsh-desktop is DeepSeek Harness Desktop App: a local AI desktop workspace for DSH Sessions, projects, files, web research, plugins, and Office artifacts.. It is categorized as a MCP Server with 587 GitHub stars.
dsh-desktop is primarily written in JavaScript. It covers topics such as agentic-workflows, ai-agent, ai-workbench.
You can find installation instructions and usage details in the dsh-desktop GitHub repository at github.com/vibeinging/dsh-desktop. The project has 587 stars and 35 forks, indicating an active community.
dsh-desktop is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to dsh-desktop on Agent Skills Hub include wesight, Abu-Cowork, cetus. 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: