Create, execute, and terminate remote Modal sandboxes with optional GPU access.
npx skills add https://github.com/BlockRunAI/blockrun-mcp --skill modal-blockrunai
Please help me install this Agent Skill. Skill: modal Source: https://github.com/BlockRunAI/blockrun-mcp/tree/main/skills/modal Command: npx skills add https://github.com/BlockRunAI/blockrun-mcp --skill modal-blockrunai
Disposable remote containers (with optional GPU) via Modal, paid per call in USDC. No Modal account, no GPU procurement — pay only for what runs.
Create a disposable sandbox with a Python image, run a command, and terminate when done.
High-intent search queries and answers about installing and using this skill.
You can run isolated code execution by provisioning disposable Modal sandboxes, which securely handle untrusted scripts without risking your local environment.
GPU-accelerated tasks can run without local hardware by selecting GPU options when creating a remote Modal sandbox, billed per call in USDC.
Heavy compute jobs in a disposable environment are best executed via remote Modal sandboxes, which provide cost-aware orchestration through create, exec, and terminate endpoints.
A Modal account is not required for sandboxed remote execution; the service provisions sandboxes directly and charges you only for what runs in USDC.
Creating and terminating a Python sandbox for ad-hoc runs involves using sandbox endpoints to provision a Python image, execute commands, and terminate the sandbox when finished.
Limitations of running heavy compute in remote sandboxes include being restricted to available GPU selections and incurring variable costs based on execution duration and compute intensity.
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