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.
npx skills add kumaran-is/claude-code-onboarding --skill dockergit clone --depth 1 https://github.com/kumaran-is/claude-code-onboardingWrote 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.
[](https://agentmods.dev/skills/kumaran-is/claude-code-onboarding/docker)<a href="https://agentmods.dev/skills/kumaran-is/claude-code-onboarding/docker"><img src="https://agentmods.dev/badge/skills/kumaran-is/claude-code-onboarding/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.
<a href="https://agentmods.dev/skills/kumaran-is/claude-code-onboarding/docker"><img src="https://agentmods.dev/badge/skills/kumaran-is/claude-code-onboarding/docker.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00092 | $0.01260 |
| Opus 5 | $0.00046 | $0.00630 |
| Sonnet 5 | $0.00018 | $0.00252 |
| Haiku 4.5 | $0.00009 | $0.00126 |
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 6d 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.
How it starts
The opening of the file, as written. The whole thing — 97 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Iron Law
NO DOCKERFILE WITHOUT READING reference/dockerfiles.md FIRST — each stack has specific base images, build tools, and health check patterns that must be used exactly
Docker
Production-ready containerization for NestJS/Node 24, Spring Boot WebFlux 3.5.x/Java 21, Python FastAPI 3.14, and TypeScript/Fastify/Node 24. All patterns follow: multi-stage build, non-root user, HEALTHCHECK, .dockerignore.
When to Use
- Writing a Dockerfile for any backend service
- Writing or updating docker-compose files for local dev or production
- Reviewing an existing Dockerfile for security, size, or correctness
- Adding build cache optimization (
--mount=type=cache) - Setting up Docker Compose secrets for production
- Building multi-architecture images (linux/amd64 + linux/arm64)
- Debugging container build failures, slow builds, or large image sizes
How This Skill Relates to Others
| Skill | Scope |
|---|---|
| docker (this skill) | Container definitions, compose files, build patterns |
| java-spring-api | Java application code — loads docker skill for Dockerfile |
| nestjs-api | NestJS templates include Dockerfile — this skill extends those patterns |
| python-dev | FastAPI code — loads docker skill for Dockerfile |
| agentic-ai-dev | Python agent code — has deployment reference that this skill augments |
Process
Step 1: Choose the Right Dockerfile Pattern
Read reference/dockerfiles.md for the complete, copy-ready Dockerfile for your stack:
| Stack | Base Image | Build Tool | Port |
|---|---|---|---|
| NestJS 11.x / Node 24 | node:24-alpine | pnpm | 3000 |
| Spring Boot WebFlux 3.5.x | maven:3.9-eclipse-temurin-21-alpine → eclipse-temurin:21-jre-alpine | Maven | 8080 |
| Python FastAPI 3.14 | python:3.14-slim | uv | 8000 |
| Python Agentic AI | python:3.14-slim | uv + gunicorn | 8000 |
| TypeScript/Fastify / Node 24 | node:24-alpine | npm | 3000 |
Step 2: Set Up Docker Compose
Read reference/compose-patterns.md for:
- Development compose (PostgreSQL 17 + Redis 7)
- Production compose with Docker secrets (
_FILEenv pattern) - Health check dependency ordering (
condition: service_healthy) - Network isolation (internal backend network)
- Resource limits and restart policies
What ships with it
4 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.
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.
- 6d ago First seen · 97 lines · 0 tokens per session scan A 61401e771018
docker is a skill published in the GitHub repository kumaran-is/claude-code-onboarding (35 stars, last pushed 2mo ago), licensed MIT. It adds 92 tokens to every session and 1,260 once invoked, about $0.0005 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 2026-09-03.
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docker-socket-mount
Docker / containerd socket mounted into a container → host RCE. Common in CI runners, GitOps controllers (ArgoCD, Flux), and 'Docker-in-Docker' setups. Single-command escape via docker run --rm --privileged -v /:/host alpine chroot /host.