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membranedev

Videoask

by Membrane Dev · GitHub ↗ · v1.0.1 · MIT-0
cross-platform ✓ Security Clean
121
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0
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0
Active Installs
2
Versions
Install in OpenClaw
/install videoask
Description
VideoAsk integration. Manage data, records, and automate workflows. Use when the user wants to interact with VideoAsk data.
Usage Guidance
This skill delegates VideoAsk access to the Membrane service and uses the Membrane CLI. Before installing or using it: (1) confirm you trust Membrane (getmembrane.com / repository) since the service will broker auth and access to your VideoAsk data; (2) review connection/permission scopes when you connect VideoAsk to Membrane; (3) be aware the install uses a global npm install — consider using npx or a local install if you prefer to avoid global packages; (4) do not share API keys locally as the skill explicitly expects Membrane to manage credentials; and (5) if you require stricter privacy controls, verify the privacy/security documentation of Membrane and the VideoAsk connector before proceeding.
Capability Analysis
Type: OpenClaw Skill Name: videoask Version: 1.0.1 The skill provides instructions for an AI agent to interact with VideoAsk via the Membrane CLI. It outlines standard procedures for authentication, action discovery, and execution using the `membrane` command-line tool. The instructions are consistent with the stated purpose of the integration and do not contain evidence of malicious intent, data exfiltration, or unauthorized access (SKILL.md).
Capability Assessment
Purpose & Capability
The name/description (VideoAsk integration) matches the instructions: everything revolves around using the Membrane CLI to connect to VideoAsk and run actions. No unrelated credentials, binaries, or config paths are requested.
Instruction Scope
SKILL.md only instructs installing and using the Membrane CLI, logging in, creating/ listing connections and actions, and running actions. It does not instruct reading arbitrary local files, scanning system state, or exfiltrating data outside the expected Membrane/VideoAsk flows.
Install Mechanism
Installation is via npm (npm install -g @membranehq/cli@latest) or npx for single commands. This is a common approach but carries the usual npm-global risks (permission prompts, global package modification). There is no download from an untrusted URL or archive extraction in the skill.
Credentials
The skill declares no required env vars or credentials and explicitly instructs not to ask users for API keys, instead relying on Membrane-managed connections. Requesting a Membrane account and network access is proportionate to the described functionality.
Persistence & Privilege
always is false and there is no install spec that writes files or modifies other skills. Autonomous invocation is allowed (platform default) but the skill does not request elevated persistent privileges.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install videoask
  3. After installation, invoke the skill by name or use /videoask
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.1
Auto sync from membranedev/application-skills
v1.0.0
Auto sync from membranedev/application-skills
Metadata
Slug videoask
Version 1.0.1
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 2
Frequently Asked Questions

What is Videoask?

VideoAsk integration. Manage data, records, and automate workflows. Use when the user wants to interact with VideoAsk data. It is an AI Agent Skill for Claude Code / OpenClaw, with 121 downloads so far.

How do I install Videoask?

Run "/install videoask" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Videoask free?

Yes, Videoask is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Videoask support?

Videoask is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Videoask?

It is built and maintained by Membrane Dev (@membranedev); the current version is v1.0.1.

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