docker-expert

Instructions for working with Docker, a system for packaging applications and their dependencies into containers. They cover container images, Compose configuration, security, and multi-stage builds.

In plain words
What is it for?
Creating or reviewing Dockerfiles and Compose files, improving image size, and troubleshooting container security or build problems.
Why use it?
They provide rules for keeping container builds smaller, safer, and suitable for development or production.

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

Made for: Claude Code, Codex.

Per session 58 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,044 The whole file, excluding the scripts and references it only reads on demand.
Security scan B 2 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 $0.00058 $0.01044
Opus 5 $0.00029 $0.00522
Sonnet 5 $0.00012 $0.00209
Haiku 4.5 $0.00006 $0.00104

Measured 2d ago against content hash 718ae4f8ebf8, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade B, and why

docker-expert scanned grade B with 2 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.

Recursive force deletemediumDestructive command

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

cache (`rm -rf /var/lib/apt/lists/*`) in the exact same `RUN` command.

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 --no-verbose --tries=1 --spider http://localhost:3000/health || exit 1
.agents/skills/docker-expert/SKILL.md · 146 lines

How it starts

The opening of the file, as written. The whole thing — 146 lines — stays where its author put it; the contents beside it link to each section on GitHub.

When to Use

  • Creating or optimizing a Dockerfile for any project.
  • Setting up or reviewing docker-compose.yml for local development or production.
  • Troubleshooting container security, large image sizes, or slow build times.
  • Implementing multi-stage builds to separate dependencies from runtime.

Critical Patterns

  • Security First (Non-Root): NEVER run containers as root. Always create and switch to a non-root user via the USER instruction.
  • Secrets over Env Vars: Use Docker Secrets (secrets:) for sensitive data in docker-compose.yml rather than plain environment variables.
  • Multi-Stage Builds: Always separate the builder (compilation, dependency fetching) from the final runtime image. Do not ship build tools to production.
  • Minimal Attack Surface: Prefer alpine, slim, or distroless base images.
  • Supply Chain Integrity: Pin base image versions down to the digest (e.g., alpine:3.21@sha256:xyz...).
  • Layer Caching: Order instructions by frequency of change. Copy and install dependencies before copying the rest of the source code.
  • One Layer Operations: Chain apt-get update with apt-get install using && and clear the cache (rm -rf /var/lib/apt/lists/*) in the exact same RUN command.

Code Examples

Optimized Multi-Stage Dockerfile

# Stage 1: Build & Dependencies
FROM node:18-alpine AS deps
WORKDIR /app
COPY package*.json ./
RUN --mount=type=cache,target=/root/.npm \
    npm ci --only=production

# Stage 2: Build source
FROM node:18-alpine AS build
WORKDIR /app
COPY package*.json ./
RUN npm ci
COPY . .
RUN npm run build && npm prune --production

# Stage 3: Runtime
FROM node:18-alpine AS runtime
# Create non-root user explicitly
RUN addgroup -g 1001 -S nodejs && adduser -S appuser -u 1001 -G nodejs
WORKDIR /app

# Copy only what is strictly necessary
COPY --from=deps --chown=appuser:nodejs /app/node_modules ./node_modules
COPY --from=build --chown=appuser:nodejs /app/dist ./dist

# Drop privileges
USER appuser

EXPOSE 3000
HEALTHCHECK --interval=30s --timeout=10s --start-period=5s --retries=3 \
  CMD wget --no-verbose --tries=1 --spider http://localhost:3000/health || exit 1

CMD ["node", "dist/index.js"]

Read the full file on GitHub · 146 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 · 146 lines · 58 tokens per session scan B 718ae4f8ebf8

Subscribe to this mod's changes

docker-expert is a skill published in the GitHub repository dallay/agentsync (54 stars, last pushed 2d ago), licensed MIT. It adds 58 tokens to every session and 1,044 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it B with 2 findings (recursive force delete, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

Related

Other skills, from other repositories

agent-code-analyzer

Agent skill for code-analyzer - invoke with $agent-code-analyzer.

ruvnet/ruflo · 19 tokens

foundry-config-setup

Resolve missing setup caused by a hardcoded Foundry project endpoint or model in a sample. Use when a sample fails because it uses a placeholder/hardcoded projectendpoint (for example "https://your-project.services.ai.azure.com") or a hardcoded model instead of reading them from the environment.

microsoft/agent-framework · 65 tokens

haiku

When writing a haiku for this bot, follow these conventions.

agno-agi/agno · 0 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

azure-mgmt-botservice-dotnet

Azure Resource Manager SDK for Bot Service in .NET. Management plane operations for creating and managing Azure Bot resources, channels (Teams, DirectLine, Slack), and connection settings. Triggers: "Bot Service", "BotResource", "Azure Bot", "DirectLine channel", "Teams channel", "bot management .NET", "create bot".

microsoft/skills · 78 tokens

dogfood

Systematically explore and test a mobile app on iOS/Android with agent-device to find bugs, UX issues, and other problems. Use when asked to dogfood, QA, exploratory test, find issues, bug hunt, or test this app on mobile.

callstack/agent-device · 55 tokens