Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/bobmatnyc/claude-mpm-skillsnpx agentmods add skills/bobmatnyc/claude-mpm-skills/dockerWrote 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/bobmatnyc/claude-mpm-skills/docker)<a href="https://agentmods.dev/skills/bobmatnyc/claude-mpm-skills/docker"><img src="https://agentmods.dev/badge/skills/bobmatnyc/claude-mpm-skills/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/bobmatnyc/claude-mpm-skills/docker"><img src="https://agentmods.dev/badge/skills/bobmatnyc/claude-mpm-skills/docker.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk fail
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 | $0.00026 | $0.07853 |
| Opus 5 | $0.00013 | $0.03927 |
| Sonnet 5 | $0.00005 | $0.01571 |
| Haiku 4.5 | $0.00003 | $0.00785 |
Grade D, and why
docker scanned grade D 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 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.
Asks for rootmediumPrivilege escalation
A mod that escalates privileges can change anything on the machine, not only the project.
sudo systemctl restart docker # Linux Recursive force deletehighDestructive command
rm -rf with a variable or a broad path is one typo away from removing the wrong tree.
&& rm -rf /var/lib/apt/lists/* Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
- Runtime installs `curl` for healthcheck, sets `PYTHONPATH=/app`. How it starts
The opening of the file, as written. The whole thing — 1,478 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Docker Containerization Skill
Summary
Docker provides containerization for packaging applications with their dependencies into isolated, portable units. Containers ensure consistency across development, testing, and production environments, eliminating "works on my machine" problems.
When to Use
- Local Development: Consistent dev environments across team members
- CI/CD Pipelines: Reproducible build and test environments
- Microservices: Isolated services with independent scaling
- Production Deployment: Portable applications across cloud providers
- Database/Service Testing: Ephemeral databases for integration tests
- Legacy Application Isolation: Run incompatible dependencies side-by-side
Quick Start
1. Create Dockerfile
FROM node:18-alpine
WORKDIR /app
COPY package*.json ./
RUN npm ci --only=production
COPY . .
EXPOSE 3000
CMD ["node", "server.js"]
2. Build Image
docker build -t myapp:1.0 .
3. Run Container
docker run -p 3000:3000 myapp:1.0
Core Concepts
Images vs Containers
- Image: Read-only template with application code, runtime, and dependencies
- Container: Running instance of an image with writable layer
- Registry: Storage for images (Docker Hub, GitHub Container Registry)
Layers and Caching
Each Dockerfile instruction creates a layer. Docker caches unchanged layers for faster builds.
# GOOD: Dependencies change less frequently than code
FROM python:3.11-slim
COPY requirements.txt .
RUN pip install -r requirements.txt # Cached unless requirements.txt changes
COPY . . # Rebuild only when code changes
# BAD: Invalidates cache on every code change
FROM python:3.11-slim
COPY . . # Changes frequently
RUN pip install -r requirements.txt # Reinstalls on every build
Volumes
Persistent data storage that survives container restarts.
# Named volume (managed by Docker)
docker run -v mydata:/app/data myapp
# Bind mount (host directory)
docker run -v $(pwd)/data:/app/data myapp
# Anonymous volume (temporary)
docker run -v /app/data myapp
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.
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 · 1,478 lines · 26 tokens per session scan D e421fcedf620
docker is a skill published in the GitHub repository bobmatnyc/claude-mpm-skills (75 stars, last pushed 1mo ago), licensed MIT. It adds 26 tokens to every session and 7,853 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it D 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 2026-09-03.
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compute-env-setup
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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.