docker

A setup generator for running an application with Docker, a tool that packages software into isolated environments, and Docker Compose, which coordinates multiple containers.

In plain words
What is it for?
Use it to create a Dockerfile, a Docker Compose configuration, and a .dockerignore file for a Spring Boot application.
Why use it?
It removes the need to manually assemble the application container, database service, environment settings, and excluded files.

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/demodev-lab/claude-code-plugin-demokit/docker
Any agent
npx skills add demodev-lab/claude-code-plugin-demokit --skill docker
Clone the repo
git clone --depth 1 https://github.com/demodev-lab/claude-code-plugin-demokit

Made for: Claude Code, Codex.

Per session 35 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 265 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 $0.00035 $0.00265
Opus 5 $0.00017 $0.00133
Sonnet 5 $0.00007 $0.00053
Haiku 4.5 $0.00003 $0.00026

Measured 2d ago against content hash 672c15f9bc86, 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 2d 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.

skills/docker/SKILL.md · 38 lines

What it actually says

/docker - Docker 설정

help

인자가 help이면 아래 도움말만 출력하고 실행을 중단한다:

/docker — Docker/Docker Compose 설정 생성

사용법:
  /docker

예시:
  /docker

관련 명령:
  /gradle — Gradle 의존성 관리
  /init   — 프로젝트 초기화

실행 절차

1. 파일 병렬 생성

다음 Task들을 한 메시지에서 동시에 호출한다:

  • Task 1: Dockerfile (Multi-stage build, Eclipse Temurin JDK 21, non-root user)
  • Task 2: docker-compose.yml (앱 서비스 + DB 서비스 + 환경 변수 외부화)
  • Task 3: .dockerignore

2. 통합 안내 (순차)

  • spring-boot-docker-compose 의존성
  • spring.docker.compose.* 설정 (Spring Boot 3.1+)

관련 Agent

  • infra-expert (Phase 3)
Files

What ships with it

1 file 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. 2d ago First seen · 38 lines · 35 tokens per session scan A 672c15f9bc86

Subscribe to this mod's changes

docker is a skill published in the GitHub repository demodev-lab/claude-code-plugin-demokit (2 stars, last pushed 6mo ago), licensed MIT. It adds 35 tokens to every session and 265 once invoked, about $0.0002 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 2026-08-31.

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