docker

A guide to packaging applications in Docker containers, which bundle software with the files it needs to run. It covers Dockerfiles, multi-service setups with Docker Compose, image size, security, networking, and deployment.

In plain words
What is it for?
Use it to create or review Dockerfiles, reduce build time and image size, run multiple services with Compose, improve container security, and diagnose networking, volume, or runtime problems.
Why use it?
It helps make application builds repeatable and reduces problems caused by differences between development and production environments. It also addresses unnecessary image contents, exposed secrets, and containers running with excessive privileges.

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/fellipeutaka/leon/docker
Any agent
npx skills add fellipeutaka/leon --skill docker
Clone the repo
git clone --depth 1 https://github.com/fellipeutaka/leon

Made for: Claude Code, Codex.

Per session 49 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,806 The whole file, excluding the scripts and references it only reads on demand.
Security scan B 3 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 $0.00049 $0.03806
Opus 5 $0.00024 $0.01903
Sonnet 5 $0.00010 $0.00761
Haiku 4.5 $0.00005 $0.00381

Measured 2d ago against content hash f3635a22900c, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade B, and why

docker scanned grade B with 3 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.

Asks for rootlowPrivilege escalation

A mod that escalates privileges can change anything on the machine, not only the project.

| Run as root | `USER 1001` or named user |

Downgraded: this mod is about security review, or the phrase is quoted, so it is likely naming the pattern rather than instructing it.

Recursive force deletemediumDestructive command

rm -rf with a variable or a broad path is one typo away from removing the wrong tree.

RUN mkdir src && echo "fn main() {}" > src/main.rs && cargo build --release && rm -rf src

Downgraded: this mod is about security review, or the phrase is quoted, so it is likely naming the pattern rather than instructing it.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

CMD wget -qO- http://localhost:3000/health || exit 1
skills/docker/SKILL.md · 601 lines

How it starts

The opening of the file, as written. The whole thing — 601 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Docker Expert

When to Use

  • Creating or reviewing Dockerfiles
  • Optimizing image size or build performance
  • Hardening container security
  • Setting up Docker Compose for multi-service apps
  • Debugging container networking, volumes, or runtime issues
  • Containerizing applications (Node.js, Python, Go, Java, Rust)

Out of scope (recommend dedicated skills):

  • Kubernetes orchestration → kubernetes expert
  • CI/CD pipelines → github-actions expert
  • Cloud-specific container services (ECS, Cloud Run) → devops expert

Core Principles

  1. Layer caching — order layers from least to most frequently changing
  2. Security-first — non-root users, minimal attack surface, no secrets in layers
  3. Minimal images — only include what's needed at runtime
  4. Reproducibility — pin versions, avoid latest tag, use lockfiles

Base Image Selection

Recommended hierarchy (most to least preferred):

Base Image Size Shell Use Case
cgr.dev/chainguard/* (Wolfi) ~10-30MB Yes Zero-CVE goal, SBOM included
alpine:3.21 ~7MB Yes General-purpose minimal
gcr.io/distroless/* ~2-5MB No Hardened production, no debug
*-slim variants ~70-100MB Yes When Alpine compatibility is an issue
scratch 0MB No Static binaries (Go, Rust)

Rules:

  • Always pin exact versions: node:22.14.0-alpine3.21 not node:alpine
  • Never use latest — breaks reproducibility
  • Match base to actual runtime needs

Dockerfile Best Practices

Layer Ordering

# 1. Base image + system deps (rarely change)
FROM node:22-alpine
RUN apk add --no-cache dumb-init

# 2. Dependencies (change occasionally)
WORKDIR /app
COPY package.json package-lock.json ./
RUN npm ci --only=production

# 3. Application code (changes frequently)
COPY . .

# 4. Metadata + runtime config
USER node
EXPOSE 3000
CMD ["dumb-init", "node", "server.js"]

.dockerignore

Always create one to reduce build context:

.git
node_modules
__pycache__
*.pyc
.vscode
.idea
.DS_Store
*.log
coverage/
.env
.env.local
dist/
build/
README.md
docs/

Read the full file on GitHub · 601 lines

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 · 601 lines · 49 tokens per session scan B f3635a22900c

Subscribe to this mod's changes

docker is a skill published in the GitHub repository fellipeutaka/leon (5 stars, last pushed 4d ago), licensed MIT. It adds 49 tokens to every session and 3,806 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it B with 3 findings (asks for root, recursive force delete, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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