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Rent, manage, and destroy GPU instances on vast.ai.
Passed 14 of 19 test cases with the skill, and 7 of 19 without it.
and 7 more in the full report
9 fixed7 passed either way5 still failing1 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 9 test cases the skill fixed. Same model, same prompt, with and without the skill.
What default PyTorch Docker container image must be specified in vastai create instance commands when no custom image override is configured?
| Checked | Without skill | With skill |
|---|---|---|
| Specifies pytorch/pytorch:2.1.0-cuda12.1-cudnn8-devel as the default image tag. | Missed | Passed |
The instructions your model reads when the skill loads.
Manage vast.ai GPU instance: $ARGUMENTS
Rent cheap, capable GPUs from vast.ai on demand. This skill analyzes the training task to determine GPU requirements, searches for the best-value offers, presents options with estimated total cost, and handles the full lifecycle: rent → setup → run → destroy.
Users do NOT specify GPU models or hardware. They describe the task — the skill figures out what to rent.
Prerequisites: The vastai CLI must be installed (requires Python ≥ 3.10) and authenticated:
pip install vastai
vastai set api-key YOUR_API_KEY
If your system Python is < 3.10, create a virtual environment with Python ≥ 3.10 (e.g.,
conda create,pyenv,uv venv, etc.) and installvastaithere.
SSH public key must be uploaded at https://cloud.vast.ai/manage-keys/ BEFORE creating any instance. Keys are baked into instances at creation time — if you add a key after renting, you must destroy and re-create the instance.
All active vast.ai instances are tracked in vast-instances.json at the project root:
[
{
"instance_id": 33799165,
"offer_id": 25831376,
"gpu_name": "RTX_3060",
"num_gpus": 1,
"dph": 0.0414,
"ssh_url": "ssh://[email protected]:58955",
"ssh_host": "1.208.108.242",
"ssh_port": 58955,
"created_at": "2026-03-29T21:12:00Z",
"status": "running",
"experiment": "exp01_baseline",
"estimated_hours": 4.0,
"estimated_cost": 0.17
}
test cases passed, vs 7 / 19 without
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