A powerful integration skill for managing ML model deployment, data records, and automated workflows via the Membrane ecosystem.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install truss
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 truss 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 Truss Integration?
The Truss skill for Openclaw Skills provides a robust interface for data scientists and ML engineers to deploy and manage machine learning models effectively. By leveraging the Membrane CLI, this skill simplifies the process of containerizing models and serving them in production environments without the traditional overhead of manual credential management.
This integration ensures that teams can focus on their core ML logic while Openclaw Skills handles the heavy lifting of API authentication, token refreshes, and secure communication with the Truss platform. It acts as a bridge between your AI agent and your machine learning infrastructure, allowing for seamless data interaction and model versioning.
Truss Integration Use Cases
- Deploying new machine learning model versions to production environments.
- Managing and querying datasets used for training or inference.
- Automating model monitoring and record management workflows.
- Integrating ML model endpoints into broader software development lifecycles.
- Interacting with Truss data programmatically through an AI agent without manual API key handling.
How Truss Integration Works
- The user installs the Membrane CLI to facilitate communication between the local environment and the Truss API.
- Authentication is handled via a secure login process that generates a specific connection ID for the agent.
- The skill uses natural language intent discovery to search for available actions within the Truss environment.
- Actions are executed with JSON parameters, where Membrane automatically injects the required headers and auth tokens.
- For custom needs, the skill can proxy raw requests directly to the Truss API, maintaining the secure auth context throughout the session.
Truss Integration Setup
First, install the necessary CLI tool:
npm install -g @membranehq/cli@latest
Next, authenticate your agent (replace <agentType> with openclaw):
membrane login --tenant --clientName=openclaw
Finally, establish a connection to the Truss service:
membrane connection ensure "https://gettruss.io/" --json
Truss Integration Data Schema & Taxonomy
The skill organizes Truss entities into a clear hierarchy to ensure structured data management:
| Entity | Description |
|---|---|
| Project | The top-level container for all ML resources. |
| Model | Specific machine learning architectures hosted within a project. |
| Version | Iterative deployments of a specific model. |
| Dataset | Collections of data utilized by models for training or testing. |
| Endpoint | The accessible API surface for serving model predictions. |
Truss Integration Advanced Features
- Natural Language Intent Discovery: Use natural language to find the specific API action required for your task.
- Automatic Credential Management: Never manage secrets locally; Openclaw Skills handles the full OAuth and API key lifecycle server-side.
- Transparent Proxy Requests: Directly call any Truss API endpoint with automatic header injection and path normalization.
- Long-polling Connection Status: Built-in support for waiting on asynchronous connection builds to ensure stable integration states.
SKILL.md
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