Testany Workspace logo

Testany Workspace

Organization
TestAny-io
testany-workspace

管理 Testany 工作空间 - 成员管理、权限配置、团队组织

Overview

PublisherTestAny-io
Repositorytestany-agent-skills
Skill nametestany-workspace
Stars
82
Forks
23
Bundled files
3
LicenseMIT
Links
Skill sourceRepositoryHomepage
  • 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.

  • 3 bundled files

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

  • Open source

    Published by TestAny-io on GitHub. Read the source before you install it.

Installation

Install the Testany Workspace 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.
  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/TestAny-io/testany-agent-skills.git /tmp/testany-agent-skills
mkdir -p .claude/skills
cp -r /tmp/testany-agent-skills/plugins/testany-bot/skills/testany-workspace .claude/skills/testany-workspace
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Testany Workspace 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 Testany Workspace 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 Testany Workspace 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.

Testany 工作空间管理

管理 Testany 工作空间和团队成员。

用户输入: $ARGUMENTS

职责范围

  • 管理工作空间
  • 添加/移除团队成员
  • 配置成员角色和权限

核心知识

工作空间概念

工作空间是 Testany 中的资源隔离单元，用于：

  • 组织团队的测试资源
  • 控制访问权限
  • 隔离不同项目/团队

角色权限

角色权限
Admin管理成员，编辑所有资源
Member创建和编辑自己的资源

常用操作

查看我的工作空间

testany_get_my_workspaces
testany_get_my_workspaces_with_roles  # 包含角色信息

添加成员

testany_list_users → 查找用户
testany_assign_user_to_workspace → 添加单个用户
testany_assign_users_to_workspace → 批量添加

修改成员角色

testany_find_workspace_users → 查找工作空间下所有用户
testany_assign_user_to_workspace → 修改单个用户

获取工作空间成员列表

testany_find_workspace_users → 查找工作空间下现有成员

移除成员

testany_remove_user_from_workspace → 从工作空间移除用户

申请新工作空间

testany_check_workspace_key → 检查 workspace key 是否可用
testany_request_workspace → 提交申请

注意：申请前需先调用 testany_check_workspace_key 检查 key 是否已被占用。

工作流程

遵循 交付与读回验证，已知目标无需重复确认，只操作授权的 workspace/成员/角色。

  1. 确认目标：操作哪个工作空间？
  2. 获取当前状态：testany_get_my_workspaces_with_roles
  3. 执行操作：添加成员、修改角色等
  4. 读回验证：成员/角色变更后用 testany_find_workspace_users 核对相关成员；申请后用实际可用的申请状态或 workspace 列表核对。申请已受理/待审批不等于已批准可用，成员写请求成功不等于角色已生效
  5. 保留部分结果：读回缺失或不一致时返回真实 key、已提交动作和限制，不自动重试、重复申请、增加其他成员或回滚删除

返回格式

任务完成后，向用户汇报：

  • 操作结果
  • 受影响的成员/工作空间
  • 当前权限状态

参考文档

详细概念请参考：

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 Testany Workspace AI skill do?

管理 Testany 工作空间 - 成员管理、权限配置、团队组织

Why use Testany Workspace on TypingMind?

Because you install it once and use it with any model. Testany Workspace 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 Testany Workspace in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/TestAny-io/testany-agent-skills/tree/main/plugins/testany-bot/skills/testany-workspace. 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 Testany Workspace?

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 Testany Workspace?

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

Is the Testany Workspace AI skill free?

Yes. It is published on GitHub by TestAny-io under the MIT 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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