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Automate Mistral AI operations -- manage files and libraries, upload documents for fine-tuning, batch processing, and OCR, track fine-tuning jobs, and build RAG pipelines via the Composio MCP integration.
Passed 3 of 9 test cases with the skill, and 3 of 9 without it.
3 fixed5 passed either way12 still failing2 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 3 test cases the skill fixed. Same model, same prompt, with and without the skill.
Execute MISTRAL_AI_UPLOAD_FILE passing `file: '/home/user/data.jsonl'` directly in the input object.
| Checked | Without skill | With skill |
|---|---|---|
| Rejects or corrects direct string file path input in favor of an object containing s3key, name, and mimetype | Missed | Passed |
The instructions your model reads when the skill loads.
Automate your Mistral AI workflows -- upload files for fine-tuning, batch processing, and OCR, manage document libraries for RAG-enabled agents, list and retrieve files, track fine-tuning jobs, and integrate Mistral AI into cross-app data pipelines.
Toolkit docs: composio.dev/toolkits/mistral_ai
https://rube.app/mcpUse MISTRAL_AI_UPLOAD_FILE to upload files for fine-tuning, batch processing, or OCR.
Tool: MISTRAL_AI_UPLOAD_FILE
Inputs:
- file: object (required)
- name: string -- destination filename (e.g., "training_data.jsonl")
- mimetype: string -- MIME type (e.g., "application/pdf", "application/jsonl")
- s3key: string -- S3 key of a previously downloaded/stored file
- purpose: "fine-tune" | "batch" | "ocr" (default "fine-tune")
Limits: Maximum file size is 512 MB. For fine-tuning, only .jsonl files are supported.
Use MISTRAL_AI_LIST_FILES to browse uploaded files with pagination, and MISTRAL_AI_RETRIEVE_FILE to get metadata for a specific file.
Tool: MISTRAL_AI_LIST_FILES
test cases passed, vs 3 / 9 without
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