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Get Started Free →openteams-lab/Replicate Automation
Automate Replicate AI model operations -- run predictions, upload files, inspect model schemas, list versions, and manage prediction history via the Composio MCP integration.
Passed 16 of 19 test cases with the skill, and 9 of 19 without it.
and 5 more in the full report
8 fixed10 passed either way4 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 8 test cases the skill fixed. Same model, same prompt, with and without the skill.
Which optional string input in the prediction creation tool sets the maximum execution duration (such as 300s) before auto-canceling?
| Checked | Without skill | With skill |
|---|---|---|
| Identifies cancel_after | Missed | Passed |
The instructions your model reads when the skill loads.
Automate your Replicate AI model workflows -- run predictions on any public model (image generation, LLMs, audio, video), upload input files, inspect model schemas and documentation, list model versions, and track prediction history.
Toolkit docs: composio.dev/toolkits/replicate
https://rube.app/mcpUse REPLICATE_MODELS_GET to inspect a model's input/output schema before running predictions.
Tool: REPLICATE_MODELS_GET
Inputs:
- model_owner: string (required) -- e.g., "meta", "black-forest-labs", "stability-ai"
- model_name: string (required) -- e.g., "meta-llama-3-8b-instruct", "flux-1.1-pro"
Important: Each model has unique input keys and types. Always check the openapi_schema from this response before constructing prediction inputs.
Use REPLICATE_MODELS_PREDICTIONS_CREATE to run inference on any model with optional synchronous waiting and webhooks.
Tool: REPLICATE_MODELS_PREDICTIONS_CREATE
Inputs:
- model_owner: string (required) -- e.g., "meta", "black-forest-labs"
- model_name: string (required) -- e.g., "flux-1.1-pro", "sdxl"
test cases passed, vs 9 / 19 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.