claw-image-build

A workflow for building, publishing, and checking OpenClaw Docker images, including images stored in GitHub Container Registry. Docker images package software and its runtime environment for deployment.

In plain words
What is it for?
Use it to build or republish OpenClaw image tags, verify GHCR images, and check Linux amd64 and arm64 images or listed official plugins.
Why use it?
It helps ensure published OpenClaw images are built and verified for the requested platforms and bundled plugins.

Skill for Claude CodeCodex

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add skills/kevinslin/agstack/claw-image-build
Any agent
npx skills add kevinslin/agstack --skill claw-image-build
Clone the repo
git clone --depth 1 https://github.com/kevinslin/agstack

Made for: Claude Code, Codex.

Per session 118 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,752 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin unknown No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5 $0.00118 $0.01752
Opus 5 $0.00059 $0.00876
Sonnet 5 $0.00024 $0.00350
Haiku 4.5 $0.00012 $0.00175

Measured 3d ago against content hash 65744790160b, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

claw-image-build scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 3d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

active/claw-image-build/SKILL.md · 90 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

Files

What ships with it

2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 3d ago First seen · 90 lines · 118 tokens per session scan A 65744790160b

Subscribe to this mod's changes

claw-image-build is a skill published in the GitHub repository kevinslin/agstack (23 stars, last pushed 4d ago), with no licence file. It adds 118 tokens to every session and 1,752 once invoked, about $0.0006 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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