docker-devops

docker-devops is a skill for Claude Code from parisgroup-ai/imersao-ia-setup. It costs 66 tokens per session (2,673 once invoked), scanned A, original, MIT.

A guide for packaging applications in Docker containers and preparing deployment files. Docker packages an application with the software it needs; Kubernetes manages containers across servers.

In plain words
What is it for?
It helps create Dockerfiles, Docker Compose setups, Kubernetes files, and CI/CD pipelines for automated builds and deployments.
Why use it?
It provides configurations for building, running, and deploying applications without assembling each setup from scratch. It also covers automated build and deployment workflows.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the imersao plugin — 51 skills, 7 commands shipped together

Good fit It helps create Dockerfiles, Docker Compose setups, Kubernetes files, and CI/CD pipelines for automated builds and deployments.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/parisgroup-ai/imersao-ia-setup/docker-devops
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.

Any agent
npx skills add parisgroup-ai/imersao-ia-setup --skill docker-devops
Clone the repo
git clone --depth 1 https://github.com/parisgroup-ai/imersao-ia-setup

Made for: Claude Code.

Or install imersao, the plugin that ships this one along with the rest of its 51 skills, 7 commands.

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-devops

README.md
[![agentmods](https://agentmods.dev/badge/skills/parisgroup-ai/imersao-ia-setup/docker-devops/github.svg)](https://agentmods.dev/skills/parisgroup-ai/imersao-ia-setup/docker-devops)
Your own site
<a href="https://agentmods.dev/skills/parisgroup-ai/imersao-ia-setup/docker-devops"><img src="https://agentmods.dev/badge/skills/parisgroup-ai/imersao-ia-setup/docker-devops/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.

agentmods 80×15 button for docker-devops

Your own site · 80×15
<a href="https://agentmods.dev/skills/parisgroup-ai/imersao-ia-setup/docker-devops"><img src="https://agentmods.dev/badge/skills/parisgroup-ai/imersao-ia-setup/docker-devops.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 66 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,673 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe.
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 5.1 $0.00066 $0.02673
Opus 5 $0.00033 $0.01337
Sonnet 5 $0.00013 $0.00535
Haiku 4.5 $0.00007 $0.00267

Measured 9d ago against content hash dbcd9f6e180a, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

docker-devops scanned grade A with 1 finding 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 9d 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.

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
plugins/imersao/skills/docker-devops/SKILL.md · 407 lines

How it starts

The opening of the file, as written. The whole thing — 407 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Docker & DevOps Skill

Multi-Stage Dockerfile (Node.js)

# Stage 1: Dependencies
FROM node:20-alpine AS deps
WORKDIR /app
COPY package*.json ./
RUN npm ci --only=production && npm cache clean --force

# Stage 2: Builder
FROM node:20-alpine AS builder
WORKDIR /app
COPY package*.json ./
RUN npm ci
COPY . .
RUN npm run build

# Stage 3: Production
FROM node:20-alpine AS production
WORKDIR /app

# Security: non-root user
RUN addgroup -g 1001 -S nodejs && adduser -S nodejs -u 1001

COPY --from=deps --chown=nodejs:nodejs /app/node_modules ./node_modules
COPY --from=builder --chown=nodejs:nodejs /app/dist ./dist
COPY --from=builder --chown=nodejs:nodejs /app/package.json ./

USER nodejs
EXPOSE 3000

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

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

Docker Compose

version: '3.8'

services:
  app:
    build:
      context: .
      target: production
    ports:
      - "3000:3000"
    environment:
      - NODE_ENV=production
      - DATABASE_URL=postgresql://user:pass@db:5432/app
    depends_on:
      db:
        condition: service_healthy
    restart: unless-stopped

  db:
    image: postgres:16-alpine
    volumes:
      - postgres_data:/var/lib/postgresql/data
    environment:
      POSTGRES_USER: user
      POSTGRES_PASSWORD: pass
      POSTGRES_DB: app
    healthcheck:
      test: ["CMD-SHELL", "pg_isready -U user -d app"]
      interval: 10s
      timeout: 5s
      retries: 5

  redis:
    image: redis:7-alpine
    command: redis-server --appendonly yes
    volumes:
      - redis_data:/data
    healthcheck:
      test: ["CMD", "redis-cli", "ping"]
      interval: 10s

volumes:
  postgres_data:
  redis_data:

GitHub Actions CI/CD

name: CI/CD

on:
  push:
    branches: [main, develop]
  pull_request:
    branches: [main]

jobs:
  test:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4
      - uses: actions/setup-node@v4
        with:
          node-version: '20'
          cache: 'npm'
      - run: npm ci
      - run: npm run lint
      - run: npm run test:coverage

  build:
    needs: test
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4
      - uses: docker/setup-buildx-action@v3
      - uses: docker/login-action@v3
        with:
          registry: ghcr.io
          username: \${{ github.actor }}
          password: \${{ secrets.GITHUB_TOKEN }}
      - uses: docker/build-push-action@v5
        with:
          push: \${{ github.ref == 'refs/heads/main' }}
          tags: ghcr.io/\${{ github.repository }}:\${{ github.sha }}
          cache-from: type=gha
          cache-to: type=gha,mode=max

  deploy:
    needs: build
    if: github.ref == 'refs/heads/main'
    runs-on: ubuntu-latest
    environment: production
    steps:
      - name: Deploy
        run: echo "Deploy to production"

Read the full file on GitHub · 407 lines

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. 9d ago First seen · 407 lines · 66 tokens per session scan A dbcd9f6e180a

Subscribe to this mod's changes

docker-devops is a skill published in the GitHub repository parisgroup-ai/imersao-ia-setup (1 stars, last pushed 26d ago), licensed MIT. It adds 66 tokens to every session and 2,673 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.