A powerful integration that enables AI agents to manage TestRail test cases, runs, and reporting through the Membrane ecosystem.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install testrail
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 testrail 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 TestRail Integration for AI Agents?
The TestRail skill for Openclaw Skills provides a seamless bridge between AI coding agents and the industry-standard web-based test case management software. By leveraging this skill, developers and QA teams can automate the organization, tracking, and reporting of testing efforts without manual data entry.
This integration operates through Membrane, which abstracts away the complexities of authentication and credential refreshing. It allows Openclaw Skills to interact with TestRail projects, milestones, and results using natural language intents or direct API proxying, ensuring that your AI agent remains a productive member of your CI/CD pipeline.
TestRail Integration for AI Agents Use Cases
- Automated reporting of test results from AI-driven testing scripts.
- Programmatic creation of test plans and runs during the development lifecycle.
- Synchronizing TestRail milestones with project management updates.
- Fetching test case details to provide context for AI-driven bug fixes.
- Querying project priorities and configurations to optimize testing workflows.
How TestRail Integration for AI Agents Works
- The agent initializes a connection using the Membrane CLI and identifies the target TestRail instance.
- Authentication is handled server-side, removing the need to manage local API keys or secrets.
- The agent searches for specific actions (like creating a run or updating a case) using natural language intent discovery.
- Actions are executed via the Membrane protocol, which handles JSON parameter mapping and response parsing.
- For specialized needs, the agent can use the proxy request feature to communicate directly with the TestRail API while maintaining secure auth headers.
TestRail Integration for AI Agents Setup
First, install the Membrane CLI to enable Openclaw Skills to communicate with the integration:
npm install -g @membranehq/cli@latest
Next, authenticate your agent (specify openclaw as the client name):
membrane login --tenant --clientName=openclaw
Connect to your TestRail instance:
membrane connection ensure "https://yourdomain.testrail.io/" --json
TestRail Integration for AI Agents Data Schema & Taxonomy
The TestRail skill organizes data around the core TestRail entity model. AI agents can interact with the following objects:
| Entity | Description |
|---|---|
| Project | The top-level container for all testing activities. |
| Suite / Section | Structural components used to organize test cases. |
| Case | Individual test specifications including steps and types. |
| Run / Plan | Executable instances of tests assigned to specific environments. |
| Result | The outcome (Pass/Fail/Blocked) of a specific test execution. |
| Milestone | Time-based goals used to track progress for specific releases. |
TestRail Integration for AI Agents Advanced Features
- Intelligent Action Discovery: Use natural language to find the right tool for specific QA tasks.
- Transparent Proxying: Access any TestRail API endpoint with automatic header injection and credential refresh.
- Headless Authentication: Support for server-side and remote agent environments via CLI-based OAuth flows.
- Multi-Agent Compatibility: Optimized tooling adjustments for Openclaw Skills, Claude, and other AI harnesses.
- Long-polling Connection Recovery: Built-in wait mechanisms for handling asynchronous connection states.
SKILL.md
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