TestMonitor for Openclaw

An AI-powered integration for the TestMonitor platform that enables automated test management, result tracking, and project oversight.

gora050
v1.0.2
May 1, 2026
0
383
0

Install & Download

1. ClawHub CLI

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

npx clawhub@latest install testmonitor

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 testmonitor 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 TestMonitor?

The TestMonitor skill empowers AI agents to interface directly with the TestMonitor test management platform, facilitating a more streamlined software testing lifecycle. By integrating this skill into Openclaw Skills workflows, developers and QA teams can automate the creation of test cases, execute test runs, and manage requirements without leaving their coding environment. It utilizes the Membrane framework to provide a secure and efficient bridge between AI agents and testing data.

This integration is particularly valuable for teams looking to maintain high software quality while accelerating delivery speed. It simplifies the complexities of QA by providing standardized access to projects, users, and results, allowing Openclaw Skills to act as a central hub for testing operations.

TestMonitor Use Cases

  • Automating the creation of test cases based on new software requirements.
  • Programmatically triggering test runs and recording results for immediate feedback.
  • Synchronizing testing progress and project status with other development tools.
  • Managing requirements and linking them to specific test scenarios for better traceability.
  • Generating comprehensive quality assurance reports using Openclaw Skills to synthesize testing data.

How TestMonitor Works

  1. The skill utilizes the Membrane CLI to establish a secure communication channel between the agent and TestMonitor.
  2. Users authenticate via a tenant-specific login, which handles all credential management and token refreshes automatically.
  3. A connection is established to the TestMonitor domain, providing the agent with the necessary context for the specific testing environment.
  4. The agent can search for available actions using natural language intent to find the most relevant tools for a given task.
  5. Actions are executed to create, update, or retrieve testing records, or raw requests are proxied for advanced API interactions.

TestMonitor Setup

To begin using this skill, install the Membrane CLI on your system:

npm install -g @membranehq/cli@latest

Next, authenticate your session to enable Openclaw Skills to communicate with your account:

membrane login --tenant --clientName=openclaw

Finally, ensure a connection is active for your specific TestMonitor instance:

membrane connection ensure "https://your-domain.testmonitor.com" --json

TestMonitor Data Schema & Taxonomy

The skill interacts with the core entities of the TestMonitor ecosystem, organized as follows:

Entity Role in Workflow
Project The top-level container for all testing activities and requirements
Requirement Definitions of what the software must achieve, used to drive test cases
Test Case Detailed steps and logic for individual testing scenarios
Test Plan A structured collection of test cases organized for specific milestones
Test Run An execution instance of a test plan containing specific results
Test Result The recorded outcome (pass/fail/error) of a specific test run

TestMonitor Advanced Features

  • Natural language discovery of actions to identify the best integration logic for complex QA tasks.
  • Automatic authentication lifecycle management, eliminating the need for manual API key handling.
  • Direct API proxying capabilities for accessing niche endpoints and advanced TestMonitor features.
  • Support for machine-readable JSON outputs, enabling sophisticated multi-agent Openclaw Skills automations.
  • Real-time connection polling to ensure the environment is ready before executing critical test scripts.

SKILL.md


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