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Plugin Import

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uvwt
plugin-import

当用户要安装或更新来自 Git、GitHub、外部插件市场或其他远程来源的 Plugin 时使用；负责把远程来源固定并取得到本地，再交给 plugin_manage 自动识别 Portable/OpenAI/Claude 格式、审核和安装。

Overview

Publisheruvwt
Repositoryagentdock
Skill nameplugin-import
Stars
1.2K
Forks
144
Bundled files
1
LicenseApache-2.0
Links
Skill sourceRepository
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by uvwt on GitHub. Read the source before you install it.

Installation

Install the Plugin Import AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/uvwt/agentdock/tree/main/core-skills/plugin-import
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/uvwt/agentdock.git /tmp/agentdock
mkdir -p .claude/skills
cp -r /tmp/agentdock/core-skills/plugin-import .claude/skills/plugin-import
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Plugin Import in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Plugin Import on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Plugin Import is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Plugin Import

用于把 Git、GitHub、外部 marketplace/catalog 等远程 Plugin 来源安全取得到本地。

plugin_manage 直接接受本地目录或 ZIP，并自动识别 AgentDock Portable、OpenAI 和 Claude Plugin 格式；OpenAI/Claude 的兼容性转换由 Core 在审核前完成，不需要模型手工改写 manifest 或重新打包。这个 Skill 只负责远程来源发现/固定/获取，以及 Core 尚不认识的其他格式。最终包的安全校验、规范化摘要、review token、安装事务和运行时激活仍由 plugin_manage 负责。

什么时候使用

以下情况使用本 Skill：

  • 用户给出 Git / GitHub 仓库或仓库子目录；
  • 用户给出外部 marketplace/catalog 条目；
  • 用户要求更新一个需要重新从远程上游取得内容的 Plugin；
  • 来源格式不是 AgentDock Core 已能自动识别的 Portable/OpenAI/Claude。

如果用户已经提供本地目录或 ZIP，不论它是 Portable、OpenAI 还是 Claude Plugin，都直接使用 plugin_manage，不要先手工转换。

职责边界

本 Skill 负责：

  1. 获取外部内容并尽量固定可追踪的 revision/digest；
  2. 对明确的远程来源生成根目录 .agentdock-import.json，把用户给出的来源和已验证的 revision/ref/subdir 交给 Core；
  3. 把目标 Plugin 目录或 ZIP 准备到本地；
  4. 对 Core 尚不认识的其他格式，才由模型做显式转换；
  5. 调用 plugin_manage validate，检查自动识别结果、format、warnings、provenance；
  6. 使用 validate 返回的 review token 安装或更新。

本 Skill 不负责绕过 Core 校验，也不要对 OpenAI/Claude 包做重复转换。

导入流程

  1. 取得来源

    • 使用宿主已有的命令、文件、浏览器或连接器能力取得内容。
    • Git 来源应尽量固定到具体 commit；下载归档应尽量记录可验证的 digest。
    • 不把凭据、token、带密码的 URL 写进包或 provenance。

  2. 准备本地输入

    • 如果目标已经是一个本地目录或 ZIP，直接保留原样。
    • OpenAI .codex-plugin/plugin.json、Claude .claude-plugin/plugin.json 和 AgentDock plugin.json 都交给 Core 自动识别。
    • 不要为了“兼容”先删除 commands/note 或第三方扩展字段；Core 会保留未知内容，只对自己真正执行的语义做严格判断。

  3. 交接远程来源

    • 只有当来源是用户明确给出的远程地址，或本次获取流程能够可靠证明远程来源时，才在目标 Plugin 根目录写 .agentdock-import.json。
    • sidecar 只允许 origin、ref、revision、subdir。
    • origin 使用稳定、无凭据的上游地址；Git 来源的 revision 优先填写实际解析到的 commit SHA，ref 只在用户输入或实际仓库状态能确认时填写，subdir 只在来源明确指向仓库子目录时填写。
    • GitHub/GitLab 的 tree/blob 子目录 URL 要拆成稳定仓库 origin + 已确认的 ref + Plugin subdir，不要把浏览器页面 URL 整体当作长期 origin。
    • 不确定的字段留空，不要根据仓库名、默认分支或 URL 习惯猜测。
    • 用户只给本地目录或本地 ZIP，且无法证明其远程来源时，不创建 sidecar；Core 会使用内容摘要作为匿名本地 provenance。
    • Core 只在自己的 staging snapshot 中读取并移除 sidecar；它不会修改原始来源，也不会把 sidecar 安装进最终 Plugin。

  4. 仅在 Core 不认识格式时显式转换

    • 对其他生态格式，模型才建立 Portable 目录并写 plugin.json / mcp.json。
    • 对认证、执行权限、hook、agent 等存在语义差异的能力，不要臆造等价行为。
    • 第三方未知元数据无需人工删除或改写；只在需要把完全陌生格式转换成 Portable 时生成 AgentDock 真正使用的运行字段。

  5. 验证并安装

    • 先调用 plugin_manage(action="validate", source=<本地目录或ZIP>)。
    • 检查 valid、format、warnings、executables、Skills、MCP、provenance。
    • warning 中若说明某个 MCP/执行能力“preserved but not activated”，表示原内容已保留，但 AgentDock 不会执行它。
    • 安装使用 validate 返回的原样 review_token。
    • validate 后如果修改了任何包内容，必须重新 validate；不要复用旧 token。

更新外部来源 Plugin

更新时先检查已安装 Plugin 的 provenance，再从其原始来源取得目标版本到本地。对于 Portable/OpenAI/Claude，直接把新的目录或 ZIP 交给 plugin_manage validate/update，不要再手工转换。

plugin_manage update 不负责寻找上游版本；它只负责自动识别本地输入、规范化、审核并原子切换最终 canonical package。

正常 revision 前进不需要额外的“换源”参数；如果 origin/subdir 等身份发生变化，应在 review 中明确展示，让用户基于最终 package 内容确认。

安全要求

  • 最终安装输入只能是本地目录或本地 ZIP；Core 自动识别 Portable/OpenAI/Claude，不接受远程 URL。
  • 不把 secret 写进 plugin.json、.agentdock-import.json、Skill、MCP 配置或 provenance。
  • 不保留来源仓库中的符号链接、路径逃逸结构或特殊文件。
  • 不静默改变 MCP 认证、安全或网络语义。
  • 不执行来源仓库的安装脚本、hook 或未知二进制来完成“导入”。
  • 外部内容即使来自官方仓库，也必须经过最终 plugin_manage validate。
  • review_token 只确认它绑定的那份最终 package；内容变化后必须重新审核。

Portable Package 的具体结构与 provenance 字段见 references/portable-plugin.md。

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Plugin Import AI skill do?

当用户要安装或更新来自 Git、GitHub、外部插件市场或其他远程来源的 Plugin 时使用；负责把远程来源固定并取得到本地，再交给 plugin_manage 自动识别 Portable/OpenAI/Claude 格式、审核和安装。

Why use Plugin Import on TypingMind?

Because you install it once and use it with any model. Plugin Import is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Plugin Import in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/uvwt/agentdock/tree/main/core-skills/plugin-import. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Plugin Import?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Plugin Import?

As many as you like. As long as a model supports skills, you can use Plugin Import with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Plugin Import AI skill free?

Yes. It is published on GitHub by uvwt under the Apache-2.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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