VisibleThread integration for Openclaw Skills enables automated document analysis, compliance auditing, and content quality improvements through a secure API proxy.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install visiblethread
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install visiblethread using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
VisibleThread is a sophisticated content intelligence platform designed to help organizations in regulated industries—such as finance, healthcare, and government—enhance the quality and compliance of their documentation. By integrating VisibleThread into your Openclaw Skills, you can programmatically analyze documents to ensure they meet strict clarity and consistency standards. This skill leverages the Membrane CLI to bridge the gap between AI agents and VisibleThread's powerful analysis engine, providing a seamless way to handle complex content optimization tasks without manual oversight.
First, install the required CLI to manage your Openclaw Skills:
npm install -g @membranehq/cli@latest
Next, authenticate your agent environment:
membrane login --tenant --clientName=openclaw
Finally, connect your account to the VisibleThread service:
membrane connection ensure "https://www.visiblethread.com/" --json
VisibleThread organizes its content intelligence data through several key entities that are accessible via Openclaw Skills:
| Entity | Description |
|---|---|
| Document | The core file or text body being analyzed for quality and compliance. |
| Analysis | The output metadata containing clarity scores, compliance flags, and readability metrics. |
| Organization | The administrative context containing users and team-specific settings. |
| VTQL Query | A specialized query language used to filter and retrieve specific document data points. |
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