tao-run-on-docker
From the author
The Docker execution platform for TAO jobs — a local daemon or a remote GPU box via DOCKER_HOST=ssh://user@host. Implements the four-verb consumer contract (submit/status/logs/cancel) over the docker CLI, wired to the job-record, tao-data-io staging, and the redact lint, on top of the underlying docker conventions (--gpus, mounts, NGC auth, inspection, data-root relocation, error modes). Use to run any single-node TAO container action on Docker without the SDK. Trigger keywords — docker, docker run, run on docker, DOCKER_HOST, remote docker, nvcr.io, --gpus, single-node GPU job.
Install
npx skills add NVIDIA/skills --skill tao-run-on-docker -a claude-code
Installs to .claude/skills/tao-run-on-docker/ · Each command fetches the skill straight from GitHub with the open skills CLI.
Byte-identical to the scanned commit, with the repository’s licence and a SOURCE.txt.
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Safety checks on SKILL.md
- Uses sudoLow
- Reads credential files such as ~/.ssh or ~/.awsLow
Why 86
aiqbench computes the trust score from public signals. It is not a security audit, so read a skill before you install it.
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