A comprehensive integration for managing OpenAI Assistants, conversation threads, and file storage through a secure, managed authentication layer.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install integrate-openai
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 integrate-openai 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 OpenAI?
The OpenAI skill provides a robust interface for developers to interact with the full suite of OpenAI services, including Assistants, Threads, and Files. By utilizing Openclaw Skills, users can bypass the traditional headaches of manual API key management and token expiration. This skill acts as a secure bridge, allowing AI agents and automated workflows to perform high-level tasks like generating chat completions, creating text embeddings, and managing complex assistant logic without exposing raw credentials.
Built on top of the Membrane framework, this integration ensures that authentication is handled server-side, providing a professional-grade environment for deploying AI-driven applications. It supports everything from simple chat interactions to advanced DALL-E image generation and content moderation, making it a foundational piece for any project involving Openclaw Skills.
OpenAI Use Cases
- Building persistent AI assistants that maintain conversation history across multiple sessions.
- Automating content moderation workflows using the OpenAI Content Policy classifier.
- Managing and retrieving document files for Retrieval-Augmented Generation (RAG) or fine-tuning.
- Programmatically generating images for digital marketing or app assets using DALL-E.
- Creating vector embeddings for semantic search and data analysis within Openclaw Skills.
How OpenAI Works
- Initialize a connection to OpenAI through the Membrane CLI, which automates the OAuth or API key handshake for Openclaw Skills.
- Authenticate the connection via a browser or terminal-based code to establish a secure, managed session.
- Search for specific OpenAI actions like create-chat-completion or list-files using natural language intent discovery.
- Execute desired actions using the CLI with JSON-formatted parameters to interact directly with OpenAI models.
- Leverage the built-in proxy request system to reach any OpenAI API endpoint while letting the skill handle header injection and credential refreshing.
OpenAI Setup
To start using this skill with your Openclaw Skills, first install the required CLI:
npm install -g @membranehq/cli@latest
Login and specify your agent type to optimize the tooling:
membrane login --tenant --clientName=openclaw
Establish a connection to the OpenAI platform:
membrane connection ensure "https://openai.com/" --json
If the connection state is BUILDING, poll the status until it reaches the READY state:
membrane connection get <id> --wait --json
OpenAI Data Schema & Taxonomy
The OpenAI skill organizes data according to the official OpenAI API hierarchy and provides metadata for easy tracking:
- Assistant: Configuration for specific AI behaviors.
- Thread: A container for a conversation session.
- Message: The content exchanged within a thread.
- File: Binary data or documents used by the system.
| Action Key | Data Object | Purpose |
|---|---|---|
| list-files | File | Retrieve a list of organization-owned files |
| create-chat-completion | Chat Object | Generate responses using GPT-4 or other models |
| create-embedding | Vector | Convert text input into numerical embeddings |
| generate-image | Image | Create visual assets via DALL-E |
OpenAI Advanced Features
- Transparent credential refresh ensuring Openclaw Skills remain connected without manual intervention.
- Native proxy support allows for raw HTTP requests to any OpenAI endpoint with automatic authentication injection.
- Natural language intent discovery for finding the correct action ID without scanning documentation.
- Multi-agent support via specific clientName flags during the authentication process.
- Asynchronous long-polling for connection states to handle complex setup requirements in headless environments.
SKILL.md
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