A comprehensive toolset allowing OpenClaw agents to manage OpenAI assistants, files, vector stores, fine-tuning, and media generations via secure ClawLink proxies.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install openai-ai
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 openai-ai 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 Skill for OpenClaw?
The OpenAI Skill for OpenClaw empowers developer environments to interact directly with the comprehensive OpenAI platform API. By utilizing secure authentication hosted via ClawLink, users are relieved of the burden of configuring, exposing, or managing API keys in active chat sessions. Instead, keys are stored securely, letting you access assistants, vector databases, and advanced generation models with peace of mind.
Integrating this tool with your suite of Openclaw Skills opens up powerful workflows, allowing agents to dynamically construct conversational assistants, upload knowledge repositories, start fine-tuning runs, and generate multi-modal outputs. It is a highly optimized, enterprise-grade interface tailored for modern AI developer agents.
OpenAI Skill for OpenClaw Use Cases
- Deploying and programmatically updating custom OpenAI Assistants loaded with custom instructions and Code Interpreter capabilities.
- Orchestrating complex RAG pipelines through dynamic vector store creation, automated file uploads, and store associations.
- Starting asynchronous model training workflows, tracking fine-tuning events, and managing checkpoint files.
- Generating structured multi-modal content, including DALL-E 3 graphics, speech-to-text transcriptions, and programmatic video rendering.
- Executing batch processing jobs with JSONL inputs for cost-efficient, high-volume model completions.
How OpenAI Skill for OpenClaw Works
- Plugin Installation: Developers install the verified ClawLink integration package into their active OpenClaw setup.
- Secure Device Pairing: Using a device-pairing flow, the plugin links the local OpenClaw gateway to the ClawLink auth dashboard.
- Account Connection: The developer securely attaches their OpenAI API key within the hosted dashboard environment.
- Dynamic Catalog Loading: The agent retrieves the live, system-approved list of available tools, ensuring tool call compatibility without hardcoding endpoints.
- Safe Interaction Flow: The agent coordinates read operations directly, while prompting the user with pre-execution previews for write, modify, or delete operations.
OpenAI Skill for OpenClaw Setup
Get started with your Openclaw Skills setup by running the following sequence of commands in your terminal:
- Install the verified ClawLink plugin:
openclaw plugins install clawhub:clawlink-plugin
- Authorize the plugin tools within your system configuration:
openclaw config set tools.alsoAllow '[\"clawlink-plugin\"]' --strict-json
- Restart your gateway to apply the configuration:
openclaw gateway restart
- Open a fresh conversation by sending
/newin your client, initiate pairing withclawlink_begin_pairing, and log intohttps://claw-link.dev/dashboard?add=openaito complete the secure credential sync.
OpenAI Skill for OpenClaw Data Schema & Taxonomy
This skill utilizes clean JSON payloads and strict model structures to coordinate API transactions. Below is the metadata taxonomy used:
Namespace & Resource Schema
| Resource Area | Target Endpoints / Entities | Access Mode |
|---|---|---|
| Assistants & Threads | assistant_id, thread_id, run_id, code interpreter configs |
Read & Write |
| Vector Stores | vector_store_id, file_id maps, storage limits |
Read & Write |
| Generations | Completion messages (system, user, assistant), prompt parameters, model slugs |
Read & Write |
| Asynchronous Jobs | batch_id, fine_tuning_job_id, video render jobs |
Read & Poll |
File Classification Requirements
- Retrieval Files: Must be uploaded with purpose set to
"assistants". - Batch Executions: Must be uploaded with purpose set to
"batch". - Async Polling: Outputs for files, videos, or batch results are retrieved by passing the returned ID to the respective
getor status tools.
OpenAI Skill for OpenClaw Advanced Features
- No-Key Chat Environment: Eliminates credential leaks by securely managing API keys behind ClawLink's authenticated proxy system.
- Two-Step Verification Safeguards: Integrates
clawlink_preview_toolto allow safe staging, preview, and manual user confirmation of destructive or creation actions. - Self-Healing Tool Catalogs: Employs live verification via
clawlink_list_toolsandclawlink_search_toolsto dynamically align with OpenAI API updates. - Comprehensive Multimedia Engine: Integrates multi-format support spanning text completions, DALL-E images, text-to-speech audio, and asynchronous video synthesis.
- Structured Batch Operations: Coordinates bulk inference via standard batch endpoints, providing fully-monitored pipelines from file upload to job completion.
SKILL.md
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