A guide for working with Docker, a tool that packages applications and their dependencies into isolated containers. It covers building images, running containers, composing services, and diagnosing problems.

Use it to write Dockerfiles and Compose files, build and run containers, manage images, troubleshoot networking, and check Docker Desktop or Engine.

It helps make container work repeatable and provides safe checks before commands that could remove data or cached resources.

docker — Skill for Codex by klh

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.

Any agent

npx skills add klh/speedy-claude --skill docker

Clone the repo

git clone --depth 1 https://github.com/klh/speedy-claude

Made for: Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

README.md

[![agentmods](https://agentmods.dev/badge/skills/klh/speedy-claude/docker/github.svg)](https://agentmods.dev/skills/klh/speedy-claude/docker)

Your own site

<a href="https://agentmods.dev/skills/klh/speedy-claude/docker"><img src="https://agentmods.dev/badge/skills/klh/speedy-claude/docker/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

Your own site · 80×15

<a href="https://agentmods.dev/skills/klh/speedy-claude/docker"><img src="https://agentmods.dev/badge/skills/klh/speedy-claude/docker.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 178 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 2,070 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits

NVIDIA SkillSpector warn 7 Sept 2026

SkillSpector: 4 findings, up to high

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

high Privilege Escalation · line 106
Potential security issue detected. Manual review is recommended.

Fix: Review the flagged content for security risks. Ensure no credentials, secrets, or sensitive data are exposed.
medium MCP Rug Pull · line 57
Docker image references without a specific tag (:latest is implicit) or digest (@sha256:...) can be silently replaced by a malicious image.

Fix: Pin the image: image:tag or image@sha256:abc123
medium MCP Rug Pull · line 58
Docker image references without a specific tag (:latest is implicit) or digest (@sha256:...) can be silently replaced by a malicious image.

Fix: Pin the image: image:tag or image@sha256:abc123
medium MCP Rug Pull · line 70
Docker image references without a specific tag (:latest is implicit) or digest (@sha256:...) can be silently replaced by a malicious image.

Fix: Pin the image: image:tag or image@sha256:abc123

How audits are shown

Origin original 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.

Model	Per session	Once invoked
Fable 5.1	$0.00178	$0.02070
Opus 5	$0.00089	$0.01035
Sonnet 5	$0.00036	$0.00414
Haiku 4.5	$0.00018	$0.00207

Measured 8d ago against content hash dc845f52846c, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

docker 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 8d ago.

The scan reads SKILL.md. This mod also ships 6 executable files (assets/templates/minimal-service/app.py, assets/templates/multi-arch-buildx/build.cmd, scripts/doctor-docker.ps1, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

skills/docker/SKILL.md · 162 lines

How it starts

The opening of the file, as written. The whole thing — 162 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Docker

Use this skill to keep Docker work deterministic, safe, and fast across Linux, macOS, and Windows Docker Desktop hosts.

Quick Start

Run scripts/probe-docker.ps1 (Windows) or docker info / docker version (Linux/macOS) first for environment truth.
Choose the smallest workflow that solves the request:
- Core container/build/compose workflow in this file covers ~80% of tasks.
- Load a reference file only when you need depth on a specific domain.
- Reuse assets/templates/ starter packs before writing boilerplate from scratch.
Default to read-only diagnostics before proposing mutating commands.
Confirm before destructive commands (rm, prune, down -v, sandbox reset, builder/cache deletion).
Prefer installed CLI behavior when docs and runtime diverge; note the caveat with concrete versions.

Intent Router (Progressive Disclosure)

Load only the reference file needed for the active request.

references/install-and-setup.md — Installing Docker Desktop (macOS/Windows) or Docker Engine (Linux), and post-install configuration.
references/core.md — Windows Desktop-first diagnostics, context management, Desktop status.
references/containers.md — run/exec/logs/inspect/debug/stats and crash triage.
references/images.md — Dockerfile authoring, multi-stage patterns, Buildx/Bake.
references/compose.md — Compose authoring and service orchestration.
references/networking.md — bridge/overlay/macvlan, DNS, port publishing.
references/volumes.md — named volumes, bind mounts, backup/restore patterns.
references/registry.md — login/tag/push/pull and registry hygiene.
references/swarm.md — swarm init, services, stacks, safe operations.
references/troubleshooting.md — systematic debugging and error classification.
references/security.md — Scout, SBOM, DHI, pass secrets, supply chain checks.
references/ai-and-agents.md — Docker AI, agent/cagent, MCP toolkit, model runner, sandbox.
references/cloud-and-remote.md — Offload, Build Cloud, remote builders and contexts.

Read the full file on GitHub · 162 lines

Files

What ships with it

30 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.

8d ago First seen · 162 lines · 178 tokens per session scan A dc845f52846c

Subscribe to this mod's changes

docker is a skill published in the GitHub repository klh/speedy-claude (11 stars, last pushed 2d ago), licensed MIT. It adds 178 tokens to every session and 2,070 once invoked, about $0.0009 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 2026-09-04.

Containers DevOps and cloud

deploy-docker-compose

Run the Omnigent server as a Docker compose stack (server + Postgres) on any Docker host — your laptop, a VPS, EC2 by hand, or as the base layer of any container-platform deploy. Invoke when the user wants to build the image, bring up the compose stack, debug the stack on a host they already have, or extend the stack…

omnigent-ai/omnigent · 84 tokens

compute-env-setup

Set up a reproducible Feynman compute environment for research jobs. Use when a task needs Python/R packages, GPU libraries, containers, Modal, SSH, caches, or managed model runtime setup.

companion-inc/feynman · 45 tokens

securing-kubernetes-on-cloud

This skill covers hardening managed Kubernetes clusters on EKS, AKS, and GKE by implementing Pod Security Standards, network policies, workload identity, RBAC scoping, image admission controls, and runtime security monitoring. It addresses cloud-specific security features including IRSA for EKS, Workload Identity for…

xalgorix/xalgorix · 80 tokens

docker