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Automate OpenAI API operations -- generate responses with multimodal and structured output support, create embeddings, generate images, and list models via the Composio MCP integration.
Passed 4 of 12 test cases with the skill, and 3 of 12 without it.
and 4 more in the full report
6 fixed2 passed either way10 still failing4 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 6 test cases the skill fixed. Same model, same prompt, with and without the skill.
Cancel the running OpenAI Batch API job with ID batch_789xyz.
| Checked | Without skill | With skill |
|---|---|---|
| States clearly that batch job control endpoints are not supported by the available tools. | Missed | Passed |
The instructions your model reads when the skill loads.
Automate your OpenAI API workflows -- generate text with the Responses API (including multimodal image+text inputs and structured JSON outputs), create embeddings for search and clustering, generate images with DALL-E and GPT Image models, and list available models.
Toolkit docs: composio.dev/toolkits/openai
https://rube.app/mcpUse OPENAI_CREATE_RESPONSE for one-shot model responses including text, image analysis, OCR, and structured JSON outputs.
Tool: OPENAI_CREATE_RESPONSE
Inputs:
- model: string (required) -- e.g., "gpt-5", "gpt-4o", "o3-mini"
- input: string | array (required)
Simple: "Explain quantum computing"
Multimodal: [
{ role: "user", content: [
{ type: "input_text", text: "What is in this image?" },
{ type: "input_image", image_url: { url: "https://..." } }
]}
]
- temperature: number (0-2, optional -- not supported with reasoning models)
- max_output_tokens: integer (optional)
- reasoning: { effort: "none" | "minimal" | "low" | "medium" | "high" }
- text: object (structured output config)
- format: { type: "json_schema", name: "...", schema: {...}, strict: true }
- tools: array (function, code_interpreter, file_search, web_search)
test cases passed, vs 3 / 12 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.