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 parisgroup-ai/imersao-ia-setup --skill docker-devopsgit clone --depth 1 https://github.com/parisgroup-ai/imersao-ia-setupWrote 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/parisgroup-ai/imersao-ia-setup/docker-devops)<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.
<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>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 | $0.00066 | $0.02673 |
| Opus 5 | $0.00033 | $0.01337 |
| Sonnet 5 | $0.00013 | $0.00535 |
| Haiku 4.5 | $0.00007 | $0.00267 |
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 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"
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.
- 9d ago First seen · 407 lines · 66 tokens per session scan A dbcd9f6e180a
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.
Other skills, from other repositories
DevOps Pipeline Builder
Design and implement CI/CD pipelines, Docker configurations, deployment strategies, and infrastructure automation with production-ready patterns.
docker-build-deploy
Use when containerizing a Node.js app and setting up GitHub Actions CI/CD to build, push to GHCR, and deploy via SSH. Multi-stage build, non-root user, caching.
DevOps & Deployment
CI/CD pipelines, containerization, Kubernetes, and infrastructure as code patterns.
devops-cicd
CI/CD and DevOps patterns: GitHub Actions workflows, Docker best practices, environment configuration, and deployment checklists. Use when configuring pipelines, containers, or deployments.
server-bootstrap
Bootstrap and configure servers for Docker deployments - install Docker, set up Caddy reverse proxy, create deploy user, and configure unattended upgrades. Triggers on phrases like "bootstrap a server", "set up a server", "configure a server", "install Docker", "set up Caddy", "update deployer".
ecspresso
ECS deployment tool - deploy, manage, and troubleshoot ECS services.