OpenAI

Manage OpenAI files, assistants, vector stores, batches, fine-tuning jobs, and model resources via the OpenAI API. Use this skill when users want to create or manage assistants, upload files, run batch jobs, fine-tune models, generate images or audio, and work with the Assistants API via OpenAI.

Jay@hith3sh

Install

openclaw skills install @hith3sh/openai-ai

OpenAI

Access OpenAI's platform API with API key authentication. Manage files, assistants, vector stores, batches, fine-tuning jobs, and model resources. Generate chat completions, images, audio, and video.

This skill uses ClawLink for hosted connection flows and credentials so you do not need to configure OpenAI API access yourself.

Setup in 3 Steps

Step 1: Install	Step 2: Pair Account	Step 3: Connect OpenAI
		App-specific connection GIF coming soon
Run the install command in OpenClaw	Sign in and approve the device	Open the dashboard and connect OpenAI

How It Works

text

┌─────────────────┐     ┌──────────────┐     ┌──────────────────┐
│   OpenClaw      │────▶│   ClawLink   │────▶│   OpenAI API     │
│   (User Chat)   │     │   (API Key)  │     │                  │
└─────────────────┘     └──────────────┘     └──────────────────┘
          │                       │                       │
          │  1. Install Plugin   │                       │
          │  2. Pair Device      │                       │
          │3. Connect OpenAI   │                       │
          │                      │  4. Secure Proxy      │
          │                      │  5. API Requests      │
          │                      │                       │
          ▼                      ▼                       ▼
    ┌──────────┐           ┌──────────┐           ┌──────────┐
    │  SKILL   │           │ Dashboard│           │  OpenAI  │
    │  File    │           │ Auth     │           │ Platform │
    └──────────┘           └──────────┘           └──────────┘

Install

Install the verified ClawLink plugin from ClawHub. After the user confirms, complete the full setup so ClawLink tools are visible in the next OpenClaw chat.

bash

openclaw plugins install clawhub:clawlink-plugin
openclaw config set tools.alsoAllow '["clawlink-plugin"]' --strict-json
openclaw gateway restart

Then tell the user: "OpenClaw has been restarted. Send /new as a standalone message to start a fresh chat, then ask for OpenAI again."

Quick Start

bash

# List assistants
clawlink_call_tool --tool "openai_list_assistants" --params '{"limit": 10}'

# Create a chat completion
clawlink_call_tool --tool "openai_create_chat_completion" --params '{"model": "gpt-4o", "messages": [{"role": "user", "content": "Hello"}]}'

# List files
clawlink_call_tool --tool "openai_list_files" --params '{"purpose": "batch"}'

Authentication

All OpenAI tool calls are authenticated automatically by ClawLink using the user's OpenAI API key.

No API key is required in chat. ClawLink stores the API key securely and injects it into every OpenAI API request on the user's behalf.

Getting Connected

Install the ClawLink plugin (see Install above).
Pair the plugin with clawlink_begin_pairing if it is not configured yet.
Open https://claw-link.dev/dashboard?add=openai and connect OpenAI.
Call clawlink_list_integrations to verify the connection is active.

Connection Management

List Connections

bash

clawlink_list_integrations

Response: Returns all connected integrations. Look for openai in the list.

Verify Connection

bash

clawlink_list_tools --integration openai

Response: Returns the live tool catalog for OpenAI.

Reconnect

If OpenAI tools are missing or the connection shows an error:

Direct the user to https://claw-link.dev/dashboard?add=openai
After they confirm, call clawlink_list_integrations to verify
Then call clawlink_list_tools --integration openai

Security& Permissions

Access is scoped to resources within the connected OpenAI organization and account.
All write operations require explicit user confirmation. Before executing any create, update, or delete call, confirm the target resource and intended effect with the user.
Destructive actions (delete file, delete assistant, cancel batch) must be confirmed.
Fine-tuning, batch jobs, and video generation are asynchronous — poll for completion.

Tool Reference

Assistants & Threads

Tool	Description	Mode
`openai_list_assistants`	List assistants to discover by name or metadata	Read
`openai_create_assistant`	Create a new assistant with model and tools	Write
`openai_modify_assistant`	Update an existing assistant	Write
`openai_delete_assistant`	Delete an assistant permanently	Write
`openai_create_thread`	Create a new conversation thread	Write
`openai_create_message`	Add a message to a thread	Write
`openai_create_run`	Execute an assistant on a thread	Write
`openai_list_messages`	List messages in a thread	Read
`openai_list_runs`	List runs for a thread	Read
`openai_cancel_run`	Cancel an in-progress run	Write
`openai_list_run_steps`	List steps in a run	Read
`openai_get_run_step`	Get details of a specific run step	Read

Files & Vector Stores

Tool	Description	Mode
`openai_list_files`	List uploaded files	Read
`openai_upload_file`	Upload a file to OpenAI	Write
`openai_delete_file`	Delete an uploaded file	Write
`openai_download_file`	Download file content	Read
`openai_create_vector_store`	Create a vector store	Write
`openai_list_vector_stores`	List vector stores	Read
`openai_get_vector_store`	Get vector store details	Read
`openai_delete_vector_store`	Delete a vector store	Write
`openai_create_vector_store_file`	Add a file to a vector store	Write
`openai_list_vector_store_files`	List files in a vector store	Read
`openai_delete_vector_store_file`	Remove a file from a vector store	Write

Batches & Fine-Tuning

Tool	Description	Mode
`openai_list_batches`	List batch jobs	Read
`openai_create_batch`	Create a batch from a JSONL file	Write
`openai_cancel_batch`	Cancel an in-progress batch	Write
`openai_list_fine_tunes`	List fine-tuning jobs	Read
`openai_create_fine_tuning_job`	Start a fine-tuning job	Write
`openai_list_fine_tuning_events`	Get events for a fine-tuning job	Read
`openai_list_fine_tuning_job_checkpoints`	List checkpoints from a fine-tuning job	Read

Generations & Completions

Tool	Description	Mode
`openai_create_chat_completion`	Create a chat completion	Read
`openai_create_completion`	Create a text completion (legacy)	Read
`openai_create_response`	Create a response via Responses API	Write
`openai_create_embeddings`	Generate text embeddings	Read
`openai_create_image`	Generate an image	Write
`openai_create_image_edit`	Edit an existing image	Write
`openai_create_image_variation`	Create an image variation	Write
`openai_create_speech`	Generate text-to-speech audio	Read
`openai_create_audio_transcription`	Transcribe audio to text	Read
`openai_create_audio_translation`	Translate audio to English	Read
`openai_create_video`	Generate a video	Write
`openai_list_videos`	List video generation jobs	Read
`openai_get_video`	Get video generation status	Read
`openai_download_video`	Download video content	Read
`openai_create_moderation`	Classify content for policy violations	Read

Evaluations

Tool	Description	Mode
`openai_list_evals`	List evaluations	Read
`openai_get_eval`	Get evaluation details	Read
`openai_create_eval`	Create an evaluation	Write
`openai_delete_eval`	Delete an evaluation	Write
`openai_create_eval_run`	Start an evaluation run	Write
`openai_get_eval_run`	Get evaluation run status	Read
`openai_list_eval_runs`	List evaluation runs	Read
`openai_cancel_eval_run`	Cancel an evaluation run	Write

Other Resources

Tool	Description	Mode
`openai_list_models`	List available models	Read
`openai_list_engines`	List available engines	Read
`openai_get_input_token_counts`	Calculate token counts for a request	Read
`openai_create_skill`	Create a skill from files	Write
`openai_list_skills`	List skills	Read
`openai_delete_skill`	Delete a skill	Write
`openai_create_container`	Create an isolated execution container	Write
`openai_list_containers`	List containers	Read
`openai_delete_container`	Delete a container	Write

Code Examples

Create a chat completion

bash

clawlink_call_tool --tool "openai_create_chat_completion" \
  --params '{
    "model": "gpt-4o",
    "messages": [
      {"role": "system", "content": "You are a helpful assistant."},
      {"role": "user", "content": "Explain quantum computing in simple terms."}
    ],
    "max_tokens": 500
  }'

Create an assistant

bash

clawlink_call_tool --tool "openai_create_assistant" \
  --params '{
    "name": "Code Reviewer",
    "model": "gpt-4o",
    "instructions": "You review code and suggest improvements.",
    "tools": [{"type": "code_interpreter"}]
  }'

Upload a file and create a vector store

bash

clawlink_call_tool --tool "openai_upload_file" \
  --params '{
    "file": "@./knowledge.pdf",
    "purpose": "assistants"
  }'

clawlink_call_tool --tool "openai_create_vector_store_file" \
  --params '{
    "vector_store_id": "VS_ID",
    "file_id": "FILE_ID"
  }'

Create a batch job

bash

clawlink_call_tool --tool "openai_create_batch" \
  --params '{
    "input_file_id": "FILE_ID",
    "endpoint": "chat/completions",
    "model": "gpt-4o-mini",
    "completion_window": "24h"
  }'

Generate an image

bash

clawlink_call_tool --tool "openai_create_image" \
  --params '{
    "model": "dall-e-3",
    "prompt": "A minimalist diagram showing the OpenClaw to ClawLink to Provider flow",
    "size": "1024x1024",
    "n": 1
  }'

Discovery Workflow

Call clawlink_list_integrations to confirm OpenAI is connected.
Call clawlink_list_tools --integration openai to see the live catalog.
Treat the returned list as the source of truth. Do not guess or assume what tools exist.
If the user describes a capability but the exact tool is unclear, call clawlink_search_tools with a short query and integration openai.
If no OpenAI tools appear, direct the user to https://claw-link.dev/dashboard?add=openai.

Execution Workflow

text

┌─────────────────────────────────────────────────────────────┐
│  READ OPERATIONS (Safe)                                     │
│  list → get → search → describe → call                      │
│                                                             │
│  Example: List models → Create completion → Return result   │
└─────────────────────────────────────────────────────────────┘
                              │
                              ▼
┌─────────────────────────────────────────────────────────────┐
│  WRITE OPERATIONS (Require Confirmation)                     │
│  list → get → describe → preview → confirm → call           │
│                                                             │
│  Example: Describe tool → Preview changes → User approves   │
│           → Execute update                                  │
└─────────────────────────────────────────────────────────────┘

For unfamiliar tools, ambiguous requests, or any write action, call clawlink_describe_tool first.
Use the returned guidance, schema, whenToUse, askBefore, safeDefaults, examples, and followups to shape the call.
Prefer read, list, search, and get operations before writes when that reduces ambiguity.
For writes or anything marked as requiring confirmation, call clawlink_preview_tool first.
Execute with clawlink_call_tool. Pass confirmation only after the preview matches the user's intent.
If the tool call fails, report the real error. Do not invent results or restate the failure as a missing capability unless the live catalog supports that conclusion.

Notes

Use model IDs exactly as returned by openai_list_models — misspelled or unsupported IDs cause validation errors.
Asynchronous operations (batch, fine-tune, video) return a job ID — poll get endpoints to check completion.
Thread IDs must be persisted after creation and passed to all subsequent calls.
Files uploaded for batch processing must have purpose: "batch"; files for assistants must have purpose: "assistants".
Video generation is asynchronous — poll openai_get_video until status is completed.

Error Handling

Status / Error	Meaning
Tool not found	The tool name does not exist in the current catalog. Verify with `clawlink_list_tools --integration openai`.
Missing connection	OpenAI is not connected. Direct the user to https://claw-link.dev/dashboard?add=openai.
`invalid_request_error`	Invalid parameter or model not available. Verify model ID with `openai_list_models`.
`RateLimitError`	Too many requests. Wait and retry with exponential backoff.
`authentication_error`	Invalid API key. Reconnect OpenAI at the dashboard.
Write rejected	User did not confirm a write action. Always confirm before executing writes.

Troubleshooting: Tools Not Visible

Check that the ClawLink plugin is installed:
bash
```
openclaw plugins list
```
If the plugin is installed but tools are missing, tell the user to send /new as a standalone message to reload the catalog.

If a fresh chat does not help, run:

bash

openclaw config set tools.alsoAllow '["clawlink-plugin"]' --strict-json
openclaw gateway restart

After restart, tell the user to send /new again and retry.

Troubleshooting: Invalid Tool Call

Ensure the integration slug is exactly openai.
Use clawlink_describe_tool to verify parameter names and types before calling.
For write operations, always call clawlink_preview_tool first.

Resources

OpenAI API Reference
Assistants API Overview
Fine-tuning Documentation
Batch API
ClawLink: https://claw-link.dev/?utm_source=clawhub&utm_medium=referral&utm_content=openai-ai
ClawLink Docs: https://docs.claw-link.dev/openclaw
ClawLink Verification: https://claw-link.dev/verify

Related Skills

OpenAI — For this skill's native documentation

Powered by ClawLink — an integration hub for OpenClaw

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OpenAI

Install

OpenAI

Setup in 3 Steps

How It Works

Install

Quick Start

Authentication

Getting Connected

Connection Management

List Connections

Verify Connection

Reconnect

Security& Permissions

Tool Reference

Assistants & Threads

Files & Vector Stores

Batches & Fine-Tuning

Generations & Completions

Evaluations

Other Resources

Code Examples

Create a chat completion

Create an assistant

Upload a file and create a vector store

Create a batch job

Generate an image

Discovery Workflow

Execution Workflow

Notes

Error Handling

Troubleshooting: Tools Not Visible

Troubleshooting: Invalid Tool Call

Resources

Related Skills

Related skills