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Tubular
by
Vlad Ursul
· GitHub ↗
· v1.0.3
· MIT-0
147
Downloads
0
Stars
0
Active Installs
4
Versions
Install in OpenClaw
/install tubular
Description
Tubular integration. Manage data, records, and automate workflows. Use when the user wants to interact with Tubular data.
Usage Guidance
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.
Capability Analysis
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.
Capability Assessment
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).
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install tubular - After installation, invoke the skill by name or use
/tubular - Provide required inputs per the skill's parameter spec and get structured output
Version History
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
Metadata
Frequently Asked Questions
What is Tubular?
Tubular integration. Manage data, records, and automate workflows. Use when the user wants to interact with Tubular data. It is an AI Agent Skill for Claude Code / OpenClaw, with 147 downloads so far.
How do I install Tubular?
Run "/install tubular" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Tubular free?
Yes, Tubular is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Tubular support?
Tubular is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Tubular?
It is built and maintained by Vlad Ursul (@gora050); the current version is v1.0.3.
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