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Crabbox Quickstart

OrganizationPopular
openclaw
crabbox-quickstart

First contact with Crabbox: run your repository's tests inside a disposable Docker or Podman container on your own machine, no account and no cloud spend, then stop the box. Use when someone asks what Crabbox is or how to try it, wants a throwaway sandbox for a repo with no crabbox.yaml yet, or is about to run crabbox init here; hand off to the crabbox skill for config that already exists, leased remote machines, jobs, secrets, or artifacts.

Overview

Publisheropenclaw
Repositorycrabbox
Skill namecrabbox-quickstart
Stars
1.4K
Forks
181
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by openclaw on GitHub. Read the source before you install it.

Installation

Install the Crabbox Quickstart AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/openclaw/crabbox.git /tmp/crabbox
mkdir -p .claude/skills
cp -r /tmp/crabbox/skills/crabbox-quickstart .claude/skills/crabbox-quickstart
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Crabbox Quickstart in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Crabbox Quickstart on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Crabbox Quickstart is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Crabbox Quickstart

Crabbox runs your repository's commands on a disposable box — a container on your own machine, or a remote machine you lease. It syncs your working tree, runs one command, streams the output back, and exits with that command's code.

The loop

text
lease -> sync -> run -> read output -> stop
  • Lease a box from a provider. --provider local-container uses Docker or Podman on your own machine: no account, no login, no spend.
  • Sync your current checkout onto it. Crabbox builds the file list from Git, so the directory must be a repository.
  • Run one command there. Its exit code becomes Crabbox's exit code.
  • Read the streamed output, and optionally timing and test-result files.
  • Stop the box. A one-shot run does this for you; a warm box does not.

Install and check

sh
crabbox --version                  # already installed? skip the install
brew install openclaw/tap/crabbox  # or github.com/openclaw/crabbox/releases
crabbox doctor --provider local-container

doctor with a provider is the readiness check that matters: it names the container runtime, the leases you already hold, and the image= your commands will run inside.

First run, no account needed

With Docker or Podman running, this works in any Git repository with no config file, no login, and no cloud spend:

sh
git init                                  # only if not already a repository
crabbox run --provider local-container -- uname -a

Crabbox provisioned a container, synced the dirty checkout, ran the command there, streamed its output, propagated its exit code, and deleted the lease. Budget 30-45 seconds once the base image is local, nearly all of it container startup; the very first run adds a one-time image pull.

The box is bare

Read this before swapping uname -a for real work. The default image is plain Ubuntu with git, curl, tar, python3, rsync, and passwordless sudo. No node, npm, make, gcc, go, cargo, or java. A command needing a runtime fails before your code does — usually exit 127 and make: not found, or for npm a preflight that stops the run first. Install what you need once, on a warm box:

sh
crabbox warmup --provider local-container          # prints the <slug>
crabbox run --provider local-container --id <slug> -- \
  sudo apt-get install -y make

Commands after -- are literal argv. For &&, pipes, or redirects, add --shell before -- and pass the shell source as one quoted argument. Making the setup permanent is a .crabbox.yaml job — that is the crabbox skill, not this page.

Warm a box and reuse it

One-shot runs pay for container startup every time, and throw away whatever you installed. Keep one box and send several commands to it instead:

sh
crabbox warmup --provider local-container
crabbox run --provider local-container --id <slug> -- ./run-tests.sh
crabbox status --provider local-container --id <slug>

warmup prints both a cbx_... lease id and a friendly slug; either works as --id. A cold run measured 33-45 seconds, the same run warm about 4 seconds. Above and below, ./run-tests.sh stands for your own test command.

What actually gets synced

Your dirty working tree filtered by Git, not a committed ref, so untracked-but-not-ignored files do get uploaded — minus a built-in exclude list: node_modules, dist, target, .venv, __pycache__, and other dependency and build output. That never travels; rebuild it in the box. crabbox sync-plan prints the file count, total bytes, and the largest files and directories without starting a container. Exclude anything else surprising in .crabboxignore.

Errors you will meet first

Exit 2 is a missing --provider, 6 a directory that is not a Git repository, 7 a runtime Crabbox cannot reach, 4 an --id naming no live lease. Your own command's code passes through verbatim too, so the number alone never says which failed — read the message, then rerun the doctor command above.

When your command itself fails, Crabbox exits with its code, prints a failure digest with next: commands, and drops a bundle in .crabbox/captures/. Sync excludes it; add .crabbox/ to .gitignore.

Environment and secrets

Nothing from your shell crosses into the box automatically; forwarding is an allowlist by name, set with --allow-env or env.allow in the repo config. Never put a token on a command line; the crabbox skill covers the rest.

Evidence from a run

Evidence flags attach to any run and cost no extra time:

sh
crabbox run --provider local-container --results-auto -- ./run-tests.sh

If your command writes a JUnit XML report, --results-auto finds it without being told the path and summarizes it in one line:

text
test results files=1 tests=3 failures=1 errors=0 skipped=1

If nothing writes a JUnit file the flag is a silent no-op.

Stop what you started

Boxes from warmup outlive the command; so do runs given --keep. Stop them:

sh
crabbox stop --provider local-container <slug>
crabbox list --provider local-container

An empty list means no leases remain on that provider. Local containers kept by warmup or --keep require explicit stop; they do not expire on their own.

When you outgrow this page

Stop here and load the full crabbox skill as soon as the task involves any of:

  • a repository that already has crabbox.yaml or .crabbox.yaml, including one crabbox init --detect has just written
  • any provider other than local-container, or a broker login
  • a toolchain the base image lacks that you want present on every run
  • named jobs, pools, prewarming, a fresh PR checkout, or Windows targets
  • environment or secret forwarding, artifacts, or desktop and UI proof
  • a failure that crabbox doctor output does not explain

Frequently asked questions

What does the Crabbox Quickstart AI skill do?

First contact with Crabbox: run your repository's tests inside a disposable Docker or Podman container on your own machine, no account and no cloud spend, then stop the box. Use when someone asks what Crabbox is or how to try it, wants a throwaway sandbox for a repo with no crabbox.yaml yet, or is about to run crabbox init here; hand off to the crabbox skill for config that already exists, leased remote machines, jobs, secrets, or artifacts.

Why use Crabbox Quickstart on TypingMind?

Because you install it once and use it with any model. Crabbox Quickstart is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Crabbox Quickstart in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/openclaw/crabbox/tree/main/skills/crabbox-quickstart. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Crabbox Quickstart?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Crabbox Quickstart?

As many as you like. As long as a model supports skills, you can use Crabbox Quickstart with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Crabbox Quickstart AI skill free?

Yes. It is published on GitHub by openclaw under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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