A comprehensive data governance and observability skill for managing metadata, data lineage, and compliance within AI workflows.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install datascope-integration
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install datascope-integration using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is DataScope?
DataScope serves as a robust data governance and observability platform designed to help data engineers and scientists monitor data quality and track lineage. By leveraging Openclaw Skills, this integration provides a streamlined way for AI agents to interact with DataScope data assets. It utilizes the Membrane framework to handle complex authentication and credential management, allowing developers to focus on building logic for data monitoring and compliance instead of auth plumbing.
DataScope Use Cases
- Automating data quality checks and monitoring across enterprise datasets.
- Managing and updating metadata objects and types programmatically.
- Tracking data lineage to ensure regulatory compliance and data integrity.
- Streamlining site and location management within the DataScope platform.
- Enhancing AI agent capabilities with Openclaw Skills to perform bulk metadata updates.
How DataScope Works
- The AI agent initializes the skill environment by installing the necessary CLI tools.
- Secure authentication is established using a tenant-based login flow optimized for Openclaw Skills.
- A connection is established to the DataScope domain, with Membrane handling OAuth or API key persistence.
- The agent searches for specific actions based on natural language intent (e.g., "querying data" or "updating metadata").
- Actions are executed via the CLI, or raw API requests are proxied through a secure layer that injects required headers.
DataScope Setup
To get started with this skill, install the Membrane CLI:
npm install -g @membranehq/cli@latest
Authenticate your agent for use with Openclaw Skills:
membrane login --tenant --clientName=openclaw
Create a secure connection to the DataScope instance:
membrane connection ensure "https://datascope.io" --json
DataScope Data Schema & Taxonomy
The DataScope skill organizes data through several core entities to maintain observability:
| Entity | Description |
|---|---|
| Dataset | High-level data containers including schema definitions. |
| Metadata Object | Individual elements within a metadata list (e.g., product details). |
| Metadata Type | Definitions for custom metadata lists and structures. |
| Location | Configuration for sites and places tracked in the system. |
| Form Answer | Submission data including specific question-value pairs. |
DataScope Advanced Features
- Bulk update capabilities for metadata objects with integrated soft delete support.
- Transparent credential refresh, ensuring Openclaw Skills maintain persistent access without manual intervention.
- Direct API proxy access to reach any DataScope endpoint using standard HTTP methods.
- Intent-based action discovery to find the most efficient pre-built workflows for complex data tasks.
- Headless environment support for server-side or remote agent deployments.
SKILL.md
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