jetson
Agent and CLI for NVIDIA Jetson edge-AI ops — device setup, container builds, and on-device deployment for Jetson Thor / AGX Orin.
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.mdforbackend: claude). - The canonical guildmaster skill kit (11 skills) under
.claude/skills/, vendored cite-don't-import. Seedocs/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 jetson whoami # identity from culture.yaml
uv run jetson 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. |
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
- Rename the package
jetson/and thejetsonCLI/dist name throughoutpyproject.toml, the package,tests/, andsonar-project.properties. - Edit
culture.yamlwith yoursuffixandbackend. - Rewrite
CLAUDE.mdfor your agent and run/init. - 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.
1 maintainer
Metadata
1 maintainer
Release files for jetson-cli 0.9.0
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