A powerful integration for AI agents to manage Testmo data, records, and automated testing workflows through the Membrane protocol.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install testmo-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 testmo-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 Testmo Integration for AI Agents?
The Testmo skill for Openclaw Skills enables AI coding agents to interact seamlessly with Testmo's test management suite. By leveraging the Membrane infrastructure, this skill eliminates the complexity of manual authentication and credential refreshing, allowing agents to focus on high-level integration logic.
This skill provides a bridge between AI-driven development environments and QA processes. It allows for the programmatic management of Projects, Test Runs, and Results, ensuring that testing data remains synchronized with the development lifecycle without the overhead of manual API plumbing.
Testmo Integration for AI Agents Use Cases
- Automating the creation of new Test Runs after a successful CI/CD deployment.
- Querying Test Case status to provide context for AI-driven bug fixing.
- Bulk updating Test Results from external automated testing frameworks.
- Organizing software testing efforts by managing Sections and Projects programmatically.
- Synchronizing Testmo data with other developer tools in the Openclaw Skills ecosystem.
How Testmo Integration for AI Agents Works
- Initialization: The AI agent utilizes the Membrane CLI to establish a persistent connection to the Testmo instance.
- Authentication: Membrane handles the OAuth or API handshake, providing a secure connection ID and managing token refreshes in the background.
- Action Discovery: The agent performs a natural language search to identify the specific Testmo actions (like creating a run or adding a result) required for the task.
- Execution: The agent runs the selected action or sends a proxied API request, passing parameters as structured JSON.
- Data Processing: Testmo returns the output to the agent, which then processes the results or updates the development environment accordingly.
Testmo Integration for AI Agents Setup
First, install the Membrane CLI to enable Openclaw Skills to communicate with the Testmo API:
npm install -g @membranehq/cli@latest
Authenticate your agent environment:
membrane login --tenant --clientName=openclaw
Establish a connection to your Testmo domain:
membrane connection ensure "https://your-domain.testmo.net/" --json
Verify the connection is READY before proceeding with actions.
Testmo Integration for AI Agents Data Schema & Taxonomy
The Testmo skill organizes data around the following core entities:
| Entity | Description |
|---|---|
| Project | The top-level container for all testing activities. |
| Test Run | A specific execution cycle containing multiple test results. |
| Test Case | Individual test definitions and requirements. |
| Section | Logical groupings used to organize test cases within projects. |
| User | Metadata regarding the team members associated with records. |
All interactions return structured JSON objects containing the operation status and the updated entity metadata.
Testmo Integration for AI Agents Advanced Features
- Natural Language Action Discovery: Use the
--intentflag to find the right tool for the job without browsing documentation. - Direct API Proxy: Use
membrane requestto access niche Testmo endpoints while maintaining automatic header and auth management. - Long-polling Support: Utilize the
--waitflag on connection status to handle asynchronous setup workflows. - Machine-readable Output: Every command supports a
--jsonflag for seamless integration into complex AI agent pipelines. - Zero-Secret Architecture: Local environments never store API keys, as Membrane manages credentials server-side.
SKILL.md
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