Applitools for Openclaw

Automate AI-powered visual validation and UI testing through a seamless Membrane integration.

membranedev
v1.0.2
Apr 30, 2026
0
396
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install applitools

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install applitools 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 Applitools?

Applitools is a sophisticated testing platform that leverages AI-powered visual validation to ensure digital applications appear correctly across all browsers and devices. By integrating this capability into AI coding agents via Openclaw Skills, developers can automate the detection of UI bugs and maintain a consistent user experience without manual oversight.

This skill acts as a bridge between your AI agent and the Applitools Eyes API, providing a secure and efficient way to manage testing workflows. Through the Membrane framework, it simplifies the complexities of visual regression testing by handling authentication and providing high-level actions for batches and baselines, significantly reducing the token overhead for your agents.

Applitools Use Cases

  • Automating visual regression testing during CI/CD pipelines.
  • Validating UI consistency across multiple browsers and screen resolutions.
  • Managing test batches and baseline images programmatically.
  • Identifying visual anomalies in web applications using AI-driven analysis.
  • Streamlining QA workflows by integrating visual bug detection directly into agentic development cycles.

How Applitools Works

  1. The AI agent initiates a connection to the Applitools platform using the Membrane CLI as part of the Openclaw Skills ecosystem.
  2. Authentication is handled securely through the Membrane server, which manages OAuth flows, API keys, and automatic credential refreshes.
  3. The agent searches for specific actions—such as starting a test or retrieving batch results—based on natural language intent.
  4. Executed actions interact with the Applitools API to perform visual checks, manage baselines, or query account data.
  5. The agent receives structured JSON outputs, allowing it to make informed decisions or report on visual testing status.

Applitools Setup

To get started with this skill, install the Membrane CLI to manage your Openclaw Skills:

npm install -g @membranehq/cli@latest

Authenticate your environment:

membrane login --tenant --clientName=openclaw

Establish a connection to Applitools to begin automating your visual tests:

membrane connection ensure "https://applitools.com/" --json

If the connection state is BUILDING, use the wait flag to poll until it is READY:

membrane connection get <id> --wait --json

Applitools Data Schema & Taxonomy

The skill organizes data around the core Applitools hierarchy to ensure structured communication between the agent and the testing platform.

Entity Description
Batch A collection of related visual tests run as a single group.
Test An individual visual validation instance comparing a checkpoint against a baseline.
Baseline The reference image used as the "gold master" for visual comparison.
Account Top-level entity containing usage data and user permissions.
User Individual identity associated with the Applitools organization.

Applitools Advanced Features

  • Intelligent Connection Management: Automatically handles the transition from BUILDING to READY states with long-polling support.
  • Natural Language Action Discovery: Find the exact API capability needed by searching through intents rather than manual endpoint mapping.
  • Transparent Proxy Requests: Use the membrane request command to access specialized Applitools endpoints while retaining automatic authentication headers.
  • Machine-Readable Outputs: Every command supports a --json flag, making it easy for AI agents to parse and act upon complex testing data.
  • Zero-Secret Architecture: Credentials are managed server-side by Membrane, ensuring API keys are never stored in the local agent environment.

SKILL.md


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