dgx-spark-cli 0.2.0

Agent and CLI for operating an NVIDIA DGX Spark (Grace-Blackwell) workstation — device setup, health/monitoring, and local AI/ML workload management.

dgx-spark-cli

Agent and CLI for operating an NVIDIA DGX Spark (Grace-Blackwell) workstation — device setup, health/monitoring, and local AI/ML workload management.

What you get

• An agent-first CLI cited from teken (afi-cli) — the runtime package has no third-party dependencies.
• A mesh identity — culture.yaml (suffix + backend) and the matching prompt file (CLAUDE.md for backend: claude).
• The canonical guildmaster skill kit (11 skills) under .claude/skills/, vendored cite-don't-import. See docs/skill-sources.md.
• A build + deploy baseline — pytest, lint, the agent-first rubric gate, and PyPI Trusted Publishing wired into GitHub Actions.

Quickstart

uv sync
uv run pytest -n auto                 # run the test suite
uv run dgx-spark-cli whoami  # identity from culture.yaml
uv run dgx-spark-cli learn   # self-teaching prompt (add --json)
uv run teken cli doctor . --strict    # the agent-first rubric gate CI runs

CLI

Verb	What it does
whoami	Report this agent's nick, version, backend, and model from culture.yaml.
learn	Print a structured self-teaching prompt.
explain <path>	Markdown docs for any noun/verb path.
overview	Read-only descriptive snapshot of the agent.
doctor	Check the agent-identity invariants (prompt-file-present, backend-consistency).
cli overview	Describe the CLI surface itself.

Machine scope (DGX Spark host telemetry)

The Spark is the system, so these read-only verbs sit at the top level:

Verb	What it does
status	Machine-wide scope, anomalies first — the headline.
memory	Unified RAM + swap (the GB10 shares one pool across CPU and GPU).
gpu	Blackwell GB10: utilization, temp, power, clocks, and GPU processes.
disk	Filesystem usage for real block devices (via /proc/mounts + statvfs).
thermal	SoC thermal zones and hwmon sensors (no lm-sensors needed).
containers	Running Docker containers and their health.
network	Interfaces, default route, and reachable addresses.
processes	Top processes by resident memory (via /proc).

They have zero runtime dependencies — kernel telemetry is read from /proc and /sys, while nvidia-smi, docker, and ip are shelled out and degrade gracefully (a missing tool reports available: false and still exits 0). doctor remains the health gate. Because the GB10 has no discrete VRAM, nvidia-smi reports aggregate GPU memory as [N/A]; gpu instead sums per-process compute-app memory so you can see how much of the shared pool the GPU holds.

Every command supports --json. Results go to stdout, errors/diagnostics to stderr (never mixed). Exit codes: 0 success, 1 user error, 2 environment error, 3+ reserved.

Make it your own

1. Rename the package spark/ and the dgx-spark-cli CLI/dist name throughout pyproject.toml, the package, tests/, and sonar-project.properties.
2. Edit culture.yaml with your suffix and backend.
3. Rewrite CLAUDE.md for your agent and run /init.
4. Re-vendor only the skills you need from guildmaster (see docs/skill-sources.md).

See CLAUDE.md for the full conventions (version-bump-every-PR, the cicd PR lane, deploy setup).

License

MIT — see LICENSE.