tao-validate-dataset-format
Run `tao-daft validate` to check NVIDIA TAO DAFT datasets for structure, schema, and cross-reference errors. Do not use for non-DAFT formats. Use when the user asks to validate a DAFT dataset, check DAFT schema, validate a TAO dataset format, or run `tao-daft validate`.
npx skills add NVIDIA/skills --skill tao-validate-dataset-format --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Validate a TAO DAFT Dataset ## Quick start ```bash tao-daft validate <format> --path <dataset-or-parent-dir> ``` `<format>` is a positional subcommand (e.g. `metropolis-v3.0`, `cosmos-reason-v1.0`); `--path` is required. Discover supported formats and per-format flags via `tao-daft validate --help` and the leaf `--help` (see "CLI conventions" below). ## Preflight ```bash python -c "import nvidia
What does the tao-validate-dataset-format skill do?
Run `tao-daft validate` to check NVIDIA TAO DAFT datasets for structure, schema, and cross-reference errors. Do not use for non-DAFT formats. Use when the user asks to validate a DAFT dataset, check DAFT schema, validate a TAO dataset format, or run `tao-daft validate`.
How do I install it?
Run `npx skills add NVIDIA/skills --skill tao-validate-dataset-format --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From NVIDIA/skills, a repository with 2,789 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.
