Skill v1.0.1
currentLLM-judged scan90/100+1 new
version: "1.0.1" name: runanywhere description: Set up and use RunAnywhere Wally from the terminal — install wally, sign in, pick a coding harness, run a model, check spend. Use when the user wants to get started with RunAnywhere or Wally, run a harness like opencode against a hosted or on-device model, or asks what their usage is.
RunAnywhere
wally is one CLI for two things: models running on this machine, and models served from RunAnywhere Cloud. The same commands cover both — if a model is on the machine it is served locally, otherwise the request goes to the console the user is signed in to and is metered against their balance.
Install wally if it is missing
If wally is not on PATH, install it first — one line, no configuration and no key to copy:
curl -fsSL https://raw.githubusercontent.com/RunanywhereAI/wally/main/install.sh | sh
macOS (Apple Silicon) and Linux x86-64. On Windows: irm https://raw.githubusercontent.com/RunanywhereAI/wally/main/install.ps1 | iex. The installer only puts wally on PATH and writes this skill; it signs nothing in on its own.
First check what is already true
wally account whoami # signed in? which console?wally backends # which engines this build linked
wally account whoami failing with "not signed in" is the only thing that needs fixing before anything else works against the cloud. On-device models need no account.
Signing in
wally account login
Opens the console in a browser. The person signs in with Google or GitHub, approves the terminal, and the CLI stores a key in ~/.config/wally. There is no password and no organization step. If a browser cannot open, wally account login --no-browser prints the URL to visit.
Coding harnesses
A harness is an existing coding tool that wally wires to a model. Local harnesses use the certified Qwen3 4B Instruct 2507 artifact.
wally opencode -m qwen3-4b-instruct-2507
If opencode is not installed, wally says so and prints the install command (npm i -g opencode-ai) rather than failing. Install it, then run the same line again.
Offer to explain a harness before running it. Someone who has just signed up does not yet know what opencode is, and "would you like me to explain how the opencode harness works?" is a better second message than a launched TUI.
Running a model directly
wally models pull qwen3-4b-instruct-2507 # download itwally models list # what is downloadedwally run qwen3-4b-instruct-2507 # talk to it
Models land in ~/.local/share/runanywhere. Nothing is downloaded until asked.
Spend
wally account usage # credit left, then input/output/cache tokens and spendwally account usage --jsonwally account usage --requests # one page of settled requests, last day; --follow walks up to 100 pages
Read-only, and scoped to the signed-in account.
Decisions with Eve
eve, the default for wally decisions, scores named labels without generating prose:
wally decisions --input "Checkout is blank" --ask "Is this a bug?"wally decide --input-file ticket.txt --choice "Owner=frontend,payments,account"
--image FILE (PNG, JPEG or WebP, up to 8, hosted only; HEIC is converted to JPEG on macOS) asks the questions about images too; a model that does not take them refuses with 400.
Use --json when another tool needs the raw response. Do not send eve (or its retired names pplx-decider-v1 and qwev) to wally run or a coding harness; those surfaces refuse it and point back here.
When something is wrong
- "not signed in" —
wally account login. - "that key is not valid" — the key was revoked or expired;
wally account loginagain. - opencode not installed —
npm i -g opencode-ai. - a model is slow or unavailable —
wally backendsshows which engines this
build actually linked; a model needing an engine that is not there will not run.
What not to do
Do not print, log or echo the contents of ~/.config/wally/credentials.json. It holds a key with the person's credit behind it.