Agent skill

Cloud Image Bake

by openclaw in openclaw/openclaw

Bake, select, prove, and safely retire a Cloud Worker image with crabbox and config one-liners.

MITAuto-check passed

Install Cloud Image Bake

skills CLI
$ npx skills add openclaw/openclaw --skill cloud-image-bake -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install openclaw/openclaw cloud-image-bake --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/openclaw/openclaw.git skills-src && mkdir -p .claude/skills && cp -r skills-src/custodian-skills/cloud-image-bake .claude/skills/cloud-image-bake && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
cloud-image-bake
GitHub stars
392k
Token cost
~975 tokens
SKILL.md length
421 words
Files
1
Skills in repo
93
Repo updated
First seen
Licence
MIT

At a glance

Bake, select, prove, and safely retire a Cloud Worker image with crabbox and config one-liners.

  • SKILL.md covers Gather, Mutate, Repair and Prove, plus 1 more section
  • Calls hcloud and jq

What it does

Cloud Image Bake is an agent skill from openclaw/openclaw. Bake, select, prove, and safely retire a Cloud Worker image with crabbox and config one-liners.

Its SKILL.md is about 980 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It works with Amazon Web Services. The repository describes itself as: The AI that really does things. Any OS. Any Platform. The lobster way. 🦞. The licence is MIT.

Example prompts

  • “/cloud-image-bake”

What it can do on your machine

Read from SKILL.md and the folder at commit 1eb5970. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • hcloud
    • jq

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Links to these hosts (documentation or services it may open):

    • docs.openclaw.ai

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Cloud Image Bake loads about 975 tokens when it runs. Until then it costs about 28 tokens; SKILL.md has 421 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~28
When it runs · the whole SKILL.md, loaded when a task matches
~975

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from openclaw/openclaw at commit 1eb5970, republished under its MIT licence (© openclaw). 421 words, ~975 tokens.

Download SKILL.mdSave it as .claude/skills/cloud-image-bake/SKILL.md (or your agent's skills folder).
name
cloud-image-bake
description
Bake, select, prove, and safely retire a Cloud Worker image with crabbox and config one-liners.

Bake a Cloud Worker image

Never print or persist secret values; provider credentials stay in their stores. Never hand-edit config files on disk — profile changes go through openclaw config. Every run ends with the observable Prove result or an exact explanation of why it could not be proven. Snapshots are cheap; unmanaged snapshot sprawl is not. Never delete a provider image without hard operator confirmation.

Gather

openclaw config get cloudWorkers --json
crabbox config show --json
crabbox doctor --provider <backend> --json
crabbox checkpoint list --json

Record the current provider, class, image selection, setup command, and the id of the image being superseded. Confirm the requested tooling and a secret-free bake source.

Mutate

Lease from the current profile, install and smoke-test the tooling:

crabbox warmup --provider <backend> --class <class> --keep --timing-json
crabbox run --provider <backend> --id <lease> --no-sync -- bash -lc '<install commands> && <tool> --version'

Snapshot per backend:

  • AWS: crabbox checkpoint create --provider aws --id <lease> --mode native --strategy image --wait, inspect it, then crabbox image promote <ami-id> with the matching scope. AWS image selection is owned by the promote catalog.
  • Hetzner: hcloud image create --type snapshot --server <server-id> --description <name>; there is no crabbox create/promote lifecycle for Hetzner yet, so record the snapshot id explicitly.
  • Firecracker: rebuild and republish the rootfs template through the host's template pipeline; do not snapshot a running microVM as a substitute.

Point the profile at the new selection only through validated config writes — confirm the exact key first, dry-run, then write (example for a backend whose settings carry an image field):

openclaw config schema --json | jq '.properties.cloudWorkers'
openclaw config set cloudWorkers.profiles.<profile>.settings.<imageKey> "<image-id>" --dry-run
openclaw config set cloudWorkers.profiles.<profile>.settings.<imageKey> "<image-id>"

The bundled crabbox profile currently has no image settings key — AWS selection lives in crabbox image promote; never invent a config field. Preserve the old image until proof passes.

Show full SKILL.md (177 more words)Show less

Repair

openclaw doctor --lint
crabbox doctor --provider <backend> --json

doctor --lint can exit 1 for findings: read the report and continue the remaining checks. Ordinary doctor and doctor --non-interactive can write config/state; do not use them for diagnosis before approval. Apply openclaw doctor --fix --non-interactive only after explicit approval, then re-read the profile and provider inventory.

Prove

Lease once from the new image and verify the baked tooling is present and fast:

crabbox warmup --provider <backend> --class <class> --timing-json
crabbox run --provider <backend> --id <lease> --no-sync -- bash -lc '<tool> --version'
crabbox stop --provider <backend> --id <lease>

Record warmup total and compare against the pre-bake timing. Then confirm the OpenClaw path end to end: dispatch one session to the profile from a client (Cloud destination) and verify the placement reaches active. If any step fails, roll back the image selection and report the exact blocker.

Report

Report the profile, backend, new and previous image ids, tooling smoke result, timed warmup before/after, and rollback state. Only after successful proof, show the exact deletion target and get hard operator confirmation, then delete only that superseded snapshot (crabbox image delete <id> or hcloud image delete <id>) and verify it is gone. Without confirmation, leave it intact and report cleanup pending.

Further reference: https://docs.openclaw.ai/gateway/cloud-workers

© openclaw, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in custodian-skills/cloud-image-bake of openclaw/openclaw.

Open the folder on GitHubat commit 1eb5970

Compare with similar skills

Cloud Image Bake next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

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SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Cloud Image Bake this skillopenclaw/openclaw392k—~975Automated safety check: PassMIT
SageMaker IAM Role Preflighthuggingface/skills11k1 repos~1.8kAutomated safety check: PassApache-2.0
SageMaker Serving Image Selectionhuggingface/skills11k1 repos~4.6kAutomated safety check: PassApache-2.0
Cloud Cost Optimizationwshobson/agents40k14 repos~1.7kAutomated safety check: PassMIT
Agent Squad Python Guide2FastLabs/agent-squad7.8k—~4.7kAutomated safety check: PassApache-2.0
Paperclip Pagepaperclipai/paperclip99k—~1kAutomated safety check: PassMIT

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Questions about Cloud Image Bake

What does Cloud Image Bake do?

Bake, select, prove, and safely retire a Cloud Worker image with crabbox and config one-liners. Cloud Image Bake is an agent skill from openclaw/openclaw. Bake, select, prove, and safely retire a Cloud Worker image with crabbox and config one-liners.

How do I install Cloud Image Bake in Claude Code?

Run `npx skills add openclaw/openclaw --skill cloud-image-bake -a claude-code`. Or copy the skill folder (custodian-skills/cloud-image-bake in openclaw/openclaw) into .claude/skills/cloud-image-bake in your project. Claude Code loads it when a task matches its description.

How do I install Cloud Image Bake in Codex?

Run `npx skills add openclaw/openclaw --skill cloud-image-bake -a codex`. Or copy the skill folder (custodian-skills/cloud-image-bake in openclaw/openclaw) into .agents/skills/cloud-image-bake in your project. Codex loads it when a task matches its description.

Can I use Cloud Image Bake in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add openclaw/openclaw --skill cloud-image-bake -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/cloud-image-bake, .gemini/skills/cloud-image-bake, .github/skills/cloud-image-bake and .opencode/skills/cloud-image-bake in your project.

What does Cloud Image Bake need to run?

Going by SKILL.md and its folder, Cloud Image Bake needs the command-line tools its instructions call (hcloud and jq).

Does Cloud Image Bake access the network?

SKILL.md names 1 domain. As links in the text: docs.openclaw.ai. This is read from the text; nothing was executed.

Is Cloud Image Bake safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Cloud Image Bake use?

Cloud Image Bake is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Cloud Image Bake use?

About 975 tokens (SKILL.md is roughly 3.9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Cloud Image Bake?

Skills that share tags, products or a category with Cloud Image Bake: SageMaker IAM Role Preflight (huggingface/skills, 11k stars), SageMaker Serving Image Selection (huggingface/skills, 11k stars), Cloud Cost Optimization (wshobson/agents, 40k stars) and Agent Squad Python Guide (2FastLabs/agent-squad, 7.8k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Cloud Image Bake?

openclaw (a GitHub organization) maintains it in openclaw/openclaw, which has 391,610 GitHub stars. The repository holds 93 skills in this directory. The repository was last updated on October 8, 2026.

Source: openclaw/openclaw on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.