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Bootstrap machines and run cached utility scripts from one CLI.

Project description

usm

Release PyPI Release workflow Python

usm is a lightweight CLI for machine bootstrap tasks and day-to-day utility scripts. It gives you one command for common setup jobs, Azure/blobfuse workflows, and a few personal productivity helpers, while keeping the underlying scripts easy to iterate on.

The package installs as usmo, but the executable command is usm.

Highlights

  • One entrypoint for machine setup, storage helpers, and quick admin tasks.
  • On-demand script download and caching under ~/.cache/usm/scripts.
  • Python subcommands run with the package interpreter, which keeps uv tool installs isolated and reliable.
  • Local --debug mode for iterating on scripts in this repository without downloading from GitHub.
  • Simple release flow driven by Git tags.

Installation

Quick Install (recommended)

curl -fsSL https://raw.githubusercontent.com/HSPK/usm/main/scripts/install.sh | bash

The script will automatically install uv (via the official installer at https://astral.sh/uv) if needed, then install usmo via uv tool install. You may need to run source ~/.bashrc (or restart your shell) afterwards for the usm command to become available.

Manual Install

Install uv first, then install usmo as a uv-managed tool:

uv tool install usmo
# upgrade later with:
uv tool install --upgrade usmo

PyPI package page: https://pypi.org/project/usmo/

Or install from a local checkout while developing:

uv sync
uv tool install --force .

After installation, the CLI is available as:

usm <command> [args...]

Commands

Scripts

Scripts are defined in scripts/_config.json and downloaded on first use. Add new commands by editing that file — no Python changes required.

Command Description
usm init Bootstrap a fresh Ubuntu machine with common packages, shell aliases, uv tools, tmux plugins, and Neovim config.
usm blobmount <mount_dir> <account> <container> Install blobfuse2 if needed, generate a SAS token from your Azure CLI login, and mount a blob container locally.
usm cu122 Install NVIDIA driver 535, CUDA 12.2, and Vulkan-related packages on Ubuntu.
usm cp [--use-sas-token] <source>... <destination> Copy between local paths and blobfuse2 mountpoints, delegating to azcopy when Azure storage is involved.
usm check_py Print the active Python and pip locations and versions.
usm sysinfo Print system, GPU, CUDA, MPI, and distributed-ML environment summary.
usm inject-alias [--shell bash|zsh|powershell] [--file PATH] Insert or update the managed usm alias block in your shell rc file.
usm tunnel <local|remote|socks|ls|stop|start|restart|rm|enable|disable|show|logs> Start and manage SSH tunnels with persistent state; enable/disable install/remove a systemd --user unit for boot-time autostart.
usm gpu [free|watch|kill] GPU inventory, free-picker (CUDA_VISIBLE_DEVICES=$(usm gpu free 2)), live watch, kill CUDA processes.
usm port [PORT|ls|kill PORT] Show what's listening on a port; free a port by killing the holder.
usm notify [config|test] [-- CMD ARGS] Wrap a command and ping ntfy.sh / Telegram / generic webhook when it exits.
usm secret <set|get|ls|rm|export|run> Encrypted local env store (Fernet). Inject secrets into shells or processes.
usm rsync [OPTIONS] SRC... DST rsync wrapper with sensible defaults + auto-excludes (.git/, __pycache__/, .venv/, ...).
usm clip [paste] Cross-platform clipboard from stdin; OSC52 fallback for SSH sessions.
usm wait TARGET... Block until host:port / TCP / HTTP endpoints are reachable (AND semantics).
usm bench [--quick|--full] Quick machine benchmark — CPU / memory / disk / network / optional GPU.
usm share PATH [--tunnel SSH_TARGET[:PORT]] Serve a file/dir over HTTP; optionally exposed to a remote via ssh -R.

Built-in helpers

Command Description
usm list List all available commands and their cache status.
usm update Re-download the config and all cached scripts.
usm clean Remove the script cache directory (~/.cache/usm/scripts).
usm version Show the installed usm version.

Examples

Initialize a new machine:

usm init

Mount a blob container:

usm blobmount /mnt/data myaccount mycontainer

Copy from a blobfuse mount to a local directory:

usm cp /mnt/data/project ./project-backup

Refresh the cached script before running it:

usm --upgrade check_py

Run against the local scripts/ directory instead of downloading from GitHub:

usm --debug check_py

Inject aliases into your zsh profile:

usm inject-alias --shell zsh

Inject aliases into your PowerShell profile:

usm inject-alias --shell powershell

Write the managed alias block into a specific file:

usm inject-alias --file ~/.config/usm/test-shell.rc

Write PowerShell-flavored aliases into a custom profile file:

usm inject-alias --shell powershell --file ~/Documents/PowerShell/Microsoft.PowerShell_profile.ps1

Open an SSH tunnel (local forward) and inspect it:

usm tunnel local 8080:db.internal:5432 user@bastion   # localhost:8080 -> db.internal:5432
usm tunnel remote 9000:3000 user@server               # server:9000 -> localhost:3000
usm tunnel socks 1080 user@gateway                    # SOCKS5 on localhost:1080
usm tunnel ls
usm tunnel stop local-8080-bastion                    # keeps the definition
usm tunnel start local-8080-bastion                   # relaunch a stopped tunnel
usm tunnel rm local-8080-bastion                      # delete the definition

Autostart a tunnel at login/boot via a systemd --user unit (Linux only). The unit also restarts the tunnel automatically on failure:

usm tunnel enable local-8080-bastion        # installs ~/.config/systemd/user/usm-tunnel-<id>.service
usm tunnel disable local-8080-bastion       # removes the unit (keeps the definition)
# To have user units start at boot before you log in (one-time per user):
sudo loginctl enable-linger "$USER"

How it Works

The CLI keeps a small manifest of commands in src/usmo/cli.py.

  • Shell scripts are executed with bash.
  • Python scripts are executed with the current interpreter via sys.executable.
  • Remote scripts are downloaded from this repository and cached locally.
  • --upgrade forces a fresh download of the selected script.
  • --debug bypasses the cache and runs the local file under scripts/.
  • Managed alias insertion uses start/end markers so rerunning the command updates the block instead of duplicating it.
  • inject-alias is implemented with click and supports bash, zsh, and PowerShell profile targets.

Development

Install the project locally:

uv sync

Build distributable artifacts:

uv build

Smoke-test the installed command:

uv run usm check_py

Release Flow

This repository includes a GitHub Actions workflow at .github/workflows/release.yml.

When you push a tag like v0.1.9, GitHub Actions will:

  1. Build the source distribution and wheel with uv build (version is derived from the git tag automatically via hatch-vcs).
  2. Create or update a GitHub Release for that tag.
  3. Upload the built artifacts to the release page.
  4. Publish to PyPI via Trusted Publishing (no secrets needed).

Create a new release with:

git tag -a v0.1.9 -m "v0.1.9"
git push origin v0.1.9

Notes

  • Some scripts are tailored for Ubuntu-based environments.
  • blobmount and cp expect Azure CLI / azcopy / blobfuse2 style workflows.
  • Cached scripts live in ~/.cache/usm/scripts.

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