aadityakumarsah/hermes/cloud-image-bake
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Checking that the SKILL.md file is still in the repository.
Bake, select, prove, and safely retire a Cloud Worker image with crabbox and config one-liners.
Install
npx vskill@latest install aadityakumarsah/hermes/cloud-image-bakeSKILL.md
The same SKILL.md was published earlier as openclaw/openclaw/cloud-image-bake.
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
Record the current provider, class, image selection, setup command, and the id of the image being superseded.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:
Snapshot per backend:
- AWS:
crabbox checkpoint create --provider aws --id <lease> --mode native --strategy image --wait, inspect it, thencrabbox 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):
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.
Repair
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:
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
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Source
- SKILL.md in the repositoryCheckingopenclaw/custodian-skills/cloud-image-bake/SKILL.md
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