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 Nagi-ovo · Agent Tool · ★ 94
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is dsh-find-plugins safe to install? View the security audit →
dsh-find-plugins 简体中文 | English 对 DSH 说一句「有没有插件能……」，它就会从全 GitHub 的 topic 里找出候选，解释差别，等你选好以后再安装和验证。 仓库属于个人还是组织并不重要。只要是公开仓库并带有 topic，转移仓库后仍然能被发现。 安装 把下面这句话发给 DSH： 手动安装时，把 整个目录复制到 （默认是 ）；只想给当前项目使用，则复制到 。如果还想与其他 Agent 共用，也可以放在 。目录 watcher 会让它立即生效。 它会怎么做 Skill 会先运行自带脚本，获取所有公开、未归档、非 fork 的 仓库。它只检查最匹配的少量候选，并从 README、 和仓库文件判断应该按 bundle、Cordis 插件还是 skill 安装。 你选定之后、开装之前，它会先查一遍这个插件的 lifecycle scripts、对外网络和子进程、读取的会话数据与凭据，以及仓库本身的可信度，然后无论有没有问题都汇报一次，再问你要不要继续。插件跑在你的 DSH 进程里，装它等于授权。 比如「想把数据和流程画出来」可以找到 dsh-visualize；「想给 Web UI 加点 2005 年互联网味道」可能会找到 dsh-ads。检索命中纯属巧合。 dsh-external/hub 在当前账号可访问时可以补充分类和安装信息，但 GitHub topic 才是主目录。灵感来自 vercel-labs/skills 的 find-skills。 License: BSD-3-Clause
| Stars | 94 |
| Forks | 1 |
| Language | JavaScript |
| Category | Agent Tool |
| License | BSD-3-Clause |
| Quality Score | 58.4039337469449/100 |
| Open Issues | 2 |
| Last Updated | 2026-08-15 |
| Created | 2026-08-13 |
| Platforms | node |
| Est. Tokens | ~13k |
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dsh-find-plugins is 帮 DSH 搜索、安装并验证插件的 Skill｜A DSH skill that finds, installs, and verifies GitHub plugins. It is categorized as a Agent Tool with 94 GitHub stars.
dsh-find-plugins is primarily written in JavaScript. It covers topics such as agent-skills, deepseek-harness, dsh-plugin.
You can find installation instructions and usage details in the dsh-find-plugins GitHub repository at github.com/Nagi-ovo/dsh-find-plugins. The project has 94 stars and 1 forks, indicating an active community.
dsh-find-plugins is released under the BSD-3-Clause license, making it free to use and modify according to the license terms.
The top alternatives to dsh-find-plugins on Agent Skills Hub include modsearch, memtrace-public, engramory. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.