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dstack is an open-source control plane for GPU provisioning and orchestration across GPU clouds, Kubernetes, and on-prem clusters.
Passed 22 of 22 test cases with the skill, and 7 of 22 without it.
and 18 more in the full report
15 fixed7 passed either way0 still failing0 broke1 errored
Tokens, turns and time describe resource use, not a dollar price.
One of 15 test cases the skill fixed. Same model, same prompt, with and without the skill.
The deployment plan for task.dstack.yml has been approved by the user. Submit the run in non-blocking background mode so the terminal session is not held.
| Checked | Without skill | With skill |
|---|---|---|
| Executes dstack apply -f task.dstack.yml with the -y flag. | Missed | Passed |
| Includes the -d flag in the apply command. | Missed | Passed |
The instructions your model reads when the skill loads.
dstack provisions and orchestrates workloads across GPU clouds, Kubernetes, and on-prem via fleets.
When to use this skill:
*.dstack.yml configurationsdstack operates through three core components:
dstack server - Can run locally, remotely, or via dstack Sky (managed)dstack CLI - Applies configurations and manages or inspects fleets, runs,
logs, events, volumes, gateways, and offers; it uses project configurations
stored in ~/.dstack/config.yml, which can be managed with dstack projectdstack configuration files - YAML files ending with .dstack.ymldstack apply shows a plan and submits configuration changes. For run
configurations, it attaches when the run reaches running by default: it
configures SSH access, forwards declared ports, and streams logs. With -d, it
submits and exits.
echo "n" | dstack apply -f <config>dstack apply -f <config> -y -ddstack run get <run-name> --jsondstack attach locally and share the outputCRITICAL: Never propose dstack CLI commands or YAML syntaxes that don't exist.
--help--helpNEVER do the following:
--helptest cases passed, vs 7 / 22 without
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