An advanced integration for automating data privacy requests, compliance workflows, and dataset management through an AI agent.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install ethyca-integration
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 ethyca-integration using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
Ethyca is a leading data privacy management platform built to help organizations automate complex privacy requests and maintain strict regulatory compliance. This integration for Openclaw Skills empowers developers and privacy engineers to programmatically interact with Ethyca's ecosystem, covering everything from data mapping to audit logging.
By utilizing this skill, teams can build robust privacy programs that handle Data Subject Access Requests (DSARs) and consent management automatically. The skill leverages the Membrane framework to manage authentication and credential refreshing, allowing the AI agent to focus on executing privacy logic rather than managing security headers.
First, install the necessary CLI tool:
npm install -g @membranehq/cli@latest
Authenticate your environment for use with Openclaw Skills:
membrane login --tenant --clientName=openclaw
Establish a connection to your Ethyca instance:
membrane connection ensure "https://ethyca.com" --json
Verify that the connection state is READY before proceeding with actions.
| Data Component | Purpose |
|---|---|
| Datasets | Defines the structure of data fields, categories, and subjects. |
| Privacy Requests | Manages incoming user requests for data access or deletion. |
| Registry | A taxonomy of data types, classifiers, and registry types. |
| Audit Logs | Provides a historical record of all privacy-related actions for compliance. |
| Consent Preferences | Tracks user choices regarding data collection and usage. |
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