labring/sealos-skills
Sealos 的 AI 代理技能 — 一键部署任何项目、配置数据库、对象存储等。适用于 Claude Code、Gemini CLI、Codex。
Project Overview项目介绍
Sealos Skills is a collection of AI agent skills focused on Sealos Cloud development and deployment. It provides eight core skills that let AI agents inspect projects, prepare deployment artifacts, provision cloud databases and object storage, build container images, deploy applications to Sealos Cloud, and visualize deployed resources on a local read-only canvas. It supports multiple AI agent platforms including DeepSeek Harness, Codex, Claude Code, Gemini CLI, Qwen Code, and Qoder. To install it on DeepSeek Harness, you can run npx @deepseek-ai/dsh plugin --profile web add github:labring/sealos-skills after DSH is set up, and all eight skills will appear in your DSH session skill catalog.
This skill pack is designed for developers who want to deploy their local or remote projects to Sealos Cloud directly from their AI agent workflow. After installation, you can simply ask your agent to deploy your project to Sealos Cloud, and it will automatically load the required skills from the pack to complete the job. For example, if you need a Postgres database for your project, the agent will call the sealos-database skill to provision one and wire the connection URL to your environment variables. You can also ask to view your existing deployed resources in a local canvas UI to inspect their status.
Sealos Skills is released under the permissive MIT open source license, so you can use it freely for personal or commercial projects. To install it on DeepSeek Harness, you need to have pnpm installed on your system PATH, since DSH requires it for installing profile bundles. There is one important limitation: the default DSH bash sandbox blocks writes outside the workspace, but the Sealos login command needs to write ~/.sealos/kubeconfig to your home directory. To use this skill pack on DSH correctly, you need to configure the sandbox permission to allow full access before running any deploy commands.
这是一个面向 Sealos Cloud 云原生开发部署的多 AI 代理技能包,提供了一系列开箱即用的能力,可帮助 AI 代理完成项目检测、生成缺失部署配置、对接云数据库和对象存储、构建或复用容器镜像、部署应用到 Sealos Cloud,还支持在本地只读画布查看已部署资源。它同时支持 DeepSeek Harness、Codex、Claude Code、Gemini CLI、Qwen Code 等多个 AI 代理平台,可通过对应平台的包管理命令一键安装。
面向需要将本地或 GitHub 项目部署到 Sealos Cloud 的开发者,典型使用流程是安装对应平台的插件后,通过代理命令发起部署请求。AI 代理会自动读取项目代码,生成符合要求的 Dockerfile 和部署配置,调用 Sealos CLI 完成容器构建推送和集群部署,还可以按需创建对接数据库和对象存储服务。用户也可以用它查看已部署资源状态,在本地画布可视化展示集群资源信息。
该技能包采用 MIT 许可证开源发布,安装到 DeepSeek Harness 需要系统预先安装 pnpm 和 DSH CLI,部署操作需要开启完整 bash 访问权限。默认的 bash 沙箱会限制工作区外的写入操作,而登录操作需要写入 ~/.sealos/kubeconfig,因此需要配置沙箱权限为完全访问才能正常使用。技能包本身无额外使用成本,仅需用户拥有 Sealos Cloud 账号即可。
请帮我安装这个 DSH 插件。安装前先完成【兼容性检查 + 安全性检查】,检查通过再动手。
插件:sealos-skills(labring/sealos-skills)
仓库:https://github.com/labring/sealos-skills
本站详情页:https://www.yhbd.top/plugins/labring-sealos-skills/
本站登记:类型 plugin · 归类 原生 DSH 插件 · 许可证未声明 · ⭐ 80 · 最近提交 2026-09-28 · 主语言 Python
按下面顺序执行,每步先把结论告诉我,再进入下一步:
【1 兼容性检查】
① 我这边:DSH 版本、Node 版本、操作系统、当前 profile(web / desktop)。
② 读它的 README、package.json、插件 manifest,列出它要求的 DSH 版本 / Node 版本 / 操作系统 / 外部依赖 / 需要另外先装的运行时。
③ 逐条比对,结论只写「满足 / 不满足 / 未知」三种;不满足的给出可行替代方案。
④ 检查是否和我已装的插件冲突:命令名重复、skill / tool 重名、端口占用、重复注册的 MCP server。
【2 安全性检查】
① 仓库可信度:和上面「本站登记」是否一致;star / fork 数、创建时间、最近提交,是否归档或长期停更。
② 安装脚本:逐行看 package.json 的 preinstall / install / postinstall,以及 install.sh、setup.ps1 之类脚本。出现 curl|bash、下载后直接执行、混淆代码、访问与插件功能无关的域名,立刻停下来告诉我,不要继续装。
③ 依赖:列出新增依赖,标出无人维护、或与知名包拼写近似的可疑包(typosquatting)。
④ 权限与副作用:它会读写哪些目录、访问哪些域名、需要哪些 DSH 权限(filesystem / network / shell / clipboard 等),以及怎么卸载和回滚。
⑤ 如果它要求 sudo / 管理员权限,或权限明显超出功能所需,先停下来问我。
【3 安装】
上面两步没有「不满足」和「高危项」时才执行;用官方推荐方式安装,不要自行提权。
【4 汇报】
用表格输出:检查项 / 结论 / 依据 / 是否需要我决策。拿不准的一律写「未知」并说明要我怎么确认——不要猜,也不要替我决定。
Send this message to DSH in your current session: it verifies compatibility and security first (answering met / not met / unknown item by item) and only installs once everything checks out — it will stop and ask you if it finds a high-risk item. The box scrolls; the copy is the full prompt. CLI install commands may not be accurate across systems, so DSH is the safer route.把上面这条消息直接发给当前会话里的 DSH:它会先核对兼容性与安全性(逐条给「满足 / 不满足 / 未知」),确认没问题再安装,有高危项会停下来问你。框内可滚动,复制到的是完整提示词;安装命令不一定准确,发给 DSH 更稳。
- No license declared - all rights reserved by default; ask the author before commercial use or redistribution未声明开源许可证 —— 默认「保留所有权利」,商用或再分发前先问作者
DSH walks through these 9 checksDSH 会逐条核对这 9 项
Compatibility兼容性
- DSH, Node, OS and profile requirementsDSH 版本 / Node 版本 / 操作系统 / profile 是否满足要求
- External dependencies and runtimes (Electron / Python / Docker, ...)外部依赖与运行时(Electron / Python / Docker 等)是否齐备
- Conflicts with installed plugins: command names, skill / tool names, ports, duplicate MCP registration与已装插件是否冲突:命令名、skill / tool 重名、端口占用、重复 MCP 注册
Security安全性
- Repo matches the facts registered here; archived or abandoned?仓库是否与页面登记一致,是否归档或长期停更
- Safety of preinstall / install / postinstall and install.sh / setup.ps1preinstall / install / postinstall 与 install.sh、setup.ps1 是否安全
- curl|bash, download-then-execute, obfuscation, unrelated domains → stop immediatelycurl|bash、下载即执行、混淆代码、无关域名 → 立刻停止
- Typosquatting or unmaintained packages among the new dependencies新增依赖里有没有 typosquatting 或无人维护的包
- Requested permissions vs. what the feature actually needs申请了哪些权限、是否超出功能所需(filesystem / network / shell / clipboard)
- Any sudo / admin requirement, plus uninstall and rollback是否要求 sudo / 管理员权限,以及卸载与回滚方式
Anything uncertain must be marked unknown with a note on how to confirm it. This site's signal screen is a static snapshot, not a security audit.拿不准的必须标「未知」并说明要我怎么确认。本站的信号筛查是静态快照,不能替代安全审计。
Or use CLI install (for developers)或使用命令行安装(适合开发者)
CLI Install命令行安装
npx @deepseek-ai/dsh plugin --profile web add github:labring/sealos-skills
把 labring/sealos-skills 加入你的 DSH 配置(web profile)即可启用。
READMEREADME
sealos-skills
Agent plugin for deploying and operating apps on Sealos Cloud,
packaged in the Agent Plugins format and as a
DeepSeek Harness profile bundle.
The same use-sealos skill is also installable through Codex, Claude Code,
Cursor, Qoder, skills.sh, OpenClaw / ClawHub, CodeBuddy, Gemini CLI, Qwen
Code, and generic repo importers.
Say "deploy X to Sealos" (or "帮我把 X 部署到 Sealos") in a compatible agent
and the use-sealos skill handles the rest: sign-in, picking the fastest
deploy path, databases, storage, public HTTPS, and post-deploy verification.
What's inside
package.json # DeepSeek Harness bundle manifest (`dsh.bundle`)
cordis.patch.yml # inserts the skill provider into a dsh profile
index.js # registers `use-sealos` on `ctx.skills`
CLAUDE.md # context-only hosts (Gemini, Qwen, Amp / Kimi)
gemini-extension.json # Gemini CLI extension
qwen-extension.json # Qwen Code extension
openclaw.plugin.json # unused on OpenClaw's native package.json path; install plugins/sealos instead
.codex-plugin/plugin.json # root Codex import manifest
.agents/plugins/marketplace.json # Codex marketplace entry
.codebuddy-plugin/marketplace.json # CodeBuddy marketplace
skills/ # skills.sh entries (symlinks → plugins/sealos/skills/*)
plugins/sealos/
├── .codex-plugin/plugin.json # Codex marketplace plugin manifest
├── .claude-plugin/plugin.json # Claude Code manifest
├── .cursor-plugin/plugin.json # Cursor manifest
├── .qoder-plugin/plugin.json # Qoder manifest
├── commands/sealos.md # /sealos for compatible plugin hosts
└── skills/
├── use-sealos/
│ ├── SKILL.md # intent router + execution rules
│ ├── references/ # loaded on demand
│ │ ├── deploy.md # three deploy paths (store / image / source)
│ │ ├── build.md # Dockerfile, linux/amd64 build, registry push
│ │ ├── databases.md # KubeBlocks clusters + credentials
│ │ ├── platform.md # manifest contract (labels, Ingress, storage, quota)
│ │ ├── operate.md # status, logs, debugging, deletion
│ │ └── recipes.md # per-app recipes for popular self-hosted software
│ └── scripts/
│ ├── sealos-api.py # auth (OAuth2 device flow) + Template API, stdlib only
│ └── wait-app.sh # post-deploy readiness + URL verification
├── sealos-deploy/SKILL.md # Brain managed-mode entry (MCP-gated pipeline)
└── k8s-kaniko-job/ # sandbox build executor (Kaniko Job → GHCR)
├── SKILL.md
└── scripts/kaniko-build.py
Showing the opening section of the README — the full document lives in the repository以上为 README 开头摘要,完整文档在仓库内 · View the full README on GitHub →在 GitHub 查看完整 README →
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