agentmods.dev

docker

docker is a skill for Claude Code, Codex from greedychipmunk/agent-skills. It costs 71 tokens per session (1,949 once invoked), scanned A, original, MIT.

A guide for working with Docker, a tool that packages applications and their dependencies into isolated containers that run consistently across computers.

In plain words
What is it for?
Building, running, debugging, and managing containers, images, Docker Compose files, networks, volumes, registries, and related Docker tools.
Why use it?
It helps avoid environment differences and makes container, image, and service changes safer to diagnose and manage.

Skill for Claude CodeCodex

not rated 17 11d ago A scan 71 tokens original MIT
View the source file greedychipmunk/agent-skills
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/greedychipmunk/agent-skills/docker
Any agent
npx skills add greedychipmunk/agent-skills --skill docker
Clone the repo
git clone --depth 1 https://github.com/greedychipmunk/agent-skills

Made for: Claude Code, 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.

agentmods badge for docker

README.md
[![agentmods](https://agentmods.dev/badge/skills/greedychipmunk/agent-skills/docker.svg)](https://agentmods.dev/skills/greedychipmunk/agent-skills/docker)
Your own site
<a href="https://agentmods.dev/skills/greedychipmunk/agent-skills/docker"><img src="https://agentmods.dev/badge/skills/greedychipmunk/agent-skills/docker.svg" alt="Measured on agentmods" height="20"></a>
Per session 71 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,949 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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.

ModelPer sessionOnce invoked
Fable 5 $0.00071 $0.01949
Opus 5 $0.00036 $0.00975
Sonnet 5 $0.00014 $0.00390
Haiku 4.5 $0.00007 $0.00195

Measured 3d ago against content hash adc7ac8052c0, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, 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 3d ago.

The scan reads SKILL.md. This mod also ships 6 executable files (scripts/doctor-docker.ps1, scripts/install.ps1, scripts/install.sh, …), 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.

docker/SKILL.md · 155 lines

How it starts

The opening of the file, as written. The whole thing — 155 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

  1. Run scripts/probe-docker.ps1 (Windows) or docker info / docker version (Linux/macOS) first for environment truth.
  2. 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.
  3. Default to read-only diagnostics before proposing mutating commands.
  4. Confirm before destructive commands (rm, prune, down -v, sandbox reset, builder/cache deletion).
  5. 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.

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

Read the full file on GitHub · 155 lines

Files

What ships with it

28 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 · 155 lines · 71 tokens per session scan A adc7ac8052c0

Subscribe to this mod's changes

docker is a skill published in the GitHub repository greedychipmunk/agent-skills (17 stars, last pushed 11d ago), licensed MIT. It adds 71 tokens to every session and 1,949 once invoked, about $0.0004 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.

ContainersDevOps and cloud
Related

Other skills, from other repositories

openshell-cli

Guide agents through using the OpenShell CLI (openshell) for sandbox management, gateway registration, provider configuration and refresh, policy iteration, settings, service exposure, BYOC workflows, and inference routing. Covers basic through advanced multi-step workflows. Trigger keywords - openshell, sandbox…

NVIDIA/OpenShell · 127 tokens

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

cuopt-install

Install cuOpt for Python, C, or server via pip, conda, or Docker; verify the install. For building cuOpt from source, see cuopt-developer.

NVIDIA/skills · 40 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

azure-kubernetes

Plan, create, and configure production-ready Azure Kubernetes Service (AKS) clusters. Covers Day-0 checklist, SKU selection (Automatic vs Standard), networking options (private API server, Azure CNI Overlay, egress configuration), security, and operations (autoscaling, upgrade strategy, cost analysis). WHEN: create…

microsoft/azure-skills · 144 tokens

airunway-aks-setup

Set up AI Runway on AKS — from bare cluster to running model. Covers cluster verification, controller install, GPU assessment, provider setup, and first deployment. WHEN: "setup AI Runway", "onboard AKS cluster", "install AI Runway", "airunway setup", "deploy model to AKS", "GPU inference on AKS", "KAITO setup on…

microsoft/azure-skills · 121 tokens