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Tubular
作者
Vlad Ursul
· GitHub ↗
· v1.0.3
· MIT-0
147
总下载
0
收藏
0
当前安装
4
版本数
在 OpenClaw 中安装
/install tubular
功能描述
Tubular integration. Manage data, records, and automate workflows. Use when the user wants to interact with Tubular data.
安全使用建议
This skill delegates auth and API calls to the Membrane service and its CLI. Before installing/using it: (1) review the @membranehq/cli package and its GitHub repo to ensure you trust the publisher; (2) be aware a global npm install will place a binary on your PATH — consider using npx or a sandboxed environment if you prefer; (3) the Membrane server will broker Tubular credentials and actions, so check Membrane's privacy/security policy to understand what data is sent to their service; (4) do not paste unrelated secrets into prompts; and (5) note the model may invoke the skill when appropriate (default behavior), so only enable it if you trust the Membrane integration.
功能分析
Type: OpenClaw Skill
Name: tubular
Version: 1.0.3
The skill bundle provides instructions for an AI agent to interact with the Tubular social media analytics platform using the Membrane CLI. It outlines standard procedures for installing the `@membranehq/cli` NPM package, authenticating via `getmembrane.com`, and discovering or executing API actions. The instructions are consistent with the stated purpose of workflow automation and do not contain evidence of malicious intent, data exfiltration, or harmful prompt injection.
能力评估
Purpose & Capability
The name/description (Tubular integration) matches the instructions: it uses the Membrane CLI to create connections, list actions, build and run actions against Tubular. Nothing in the SKILL.md requests unrelated credentials, binaries, or access.
Instruction Scope
Runtime instructions are limited to installing/using the Membrane CLI, running membrane commands (login, connect, action list/create/run), and following browser-based auth flows. The instructions do not ask the agent to read local files, environment variables, or transmit data to unexpected endpoints.
Install Mechanism
There is no packaged install; the SKILL.md recommends installing @membranehq/cli via npm (global install) or using npx. This is a standard public npm package approach (moderate trust requirement). Users should review the @membranehq/cli package and its repository before global installation because global npm installs write binaries to the system PATH.
Credentials
The skill declares no required environment variables or credentials and instructs users to use Membrane-managed connections rather than supplying Tubular API keys. This is proportionate: authentication is handled via Membrane's browser-based flow rather than local secrets.
Persistence & Privilege
The skill is instruction-only, has no install spec, and does not request always:true. It uses normal model invocation defaults (the model may call it when appropriate). There is no indication the skill will persist configuration beyond creating a Membrane connection (which is expected).
如何使用
- 确保已安装 OpenClaw（本地或 Docker 部署）
- 在对话框中输入安装命令：
/install tubular - 安装完成后，直接呼叫该 Skill 的名称或使用
/tubular触发 - 根据 Skill 的参数说明提供必要输入，即可获得结构化输出
版本历史
v1.0.3
Auto sync from membranedev/application-skills
v1.0.2
Revert refresh marker
v1.0.1
Refresh update marker
v1.0.0
Auto sync from membranedev/application-skills
元数据
常见问题
Tubular 是什么？
Tubular integration. Manage data, records, and automate workflows. Use when the user wants to interact with Tubular data. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 147 次。
如何安装 Tubular？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install tubular」即可一键安装，无需额外配置。
Tubular 是免费的吗？
是的，Tubular 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Tubular 支持哪些平台？
Tubular 跨平台运行，可在任意部署了 OpenClaw / Claude Code 的环境中使用（cross-platform）。
谁开发了 Tubular？
由 Vlad Ursul（@gora050）开发并维护，当前版本 v1.0.3。
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