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 agentmods add skills/morningstar202604/awesome-skillkit/docker-developmentnpx skills add Morningstar202604/awesome-skillkit --skill docker-developmentgit clone --depth 1 https://github.com/Morningstar202604/awesome-skillkitWrote 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/morningstar202604/awesome-skillkit/docker-development)<a href="https://agentmods.dev/skills/morningstar202604/awesome-skillkit/docker-development"><img src="https://agentmods.dev/badge/skills/morningstar202604/awesome-skillkit/docker-development.svg" alt="Measured on agentmods" 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 | $0.00084 | $0.02890 |
| Opus 5 | $0.00042 | $0.01445 |
| Sonnet 5 | $0.00017 | $0.00578 |
| Haiku 4.5 | $0.00008 | $0.00289 |
Grade B, and why
docker-development scanned grade B 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 5d 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.
- **apt-get without cleanup in same layer** → `rm -rf /var/lib/apt/lists/*` in the same RUN. Downgraded: this mod is about security review, or the phrase is quoted, so it is likely naming the pattern rather than instructing it.
This is a copy
97% identical to docker-development — 3 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 368 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Docker Development
Smaller images. Faster builds. Secure containers. No guesswork.
Opinionated Docker workflow that turns bloated Dockerfiles into production-grade containers. Covers optimization, multi-stage builds, compose orchestration, and security hardening.
Not a Docker tutorial — a set of concrete decisions about how to build containers that don't waste time, space, or attack surface.
Slash Commands
| Command | What it does |
|---|---|
/docker:optimize |
Analyze and optimize a Dockerfile for size, speed, and layer caching |
/docker:compose |
Generate or improve docker-compose.yml with best practices |
/docker:security |
Audit a Dockerfile or running container for security issues |
When This Skill Activates
Recognize these patterns from the user:
- "Optimize this Dockerfile"
- "My Docker build is slow"
- "Create a docker-compose for this project"
- "Is this Dockerfile secure?"
- "Reduce my Docker image size"
- "Set up multi-stage builds"
- "Docker best practices for [language/framework]"
- Any request involving: Dockerfile, docker-compose, container, image size, build cache, Docker security
If the user has a Dockerfile or wants to containerize something → this skill applies.
Workflow
/docker:optimize — Dockerfile Optimization
-
Analyze current state
- Read the Dockerfile
- Identify base image and its size
- Count layers (each RUN/COPY/ADD = 1 layer)
- Check for common anti-patterns
-
Apply optimization checklist
BASE IMAGE ├── Use specific tags, never :latest in production ├── Prefer slim/alpine variants (debian-slim > ubuntu > debian) ├── Pin digest for reproducibility in CI: image@sha256:... └── Match base to runtime needs (don't use python:3.12 for a compiled binary) LAYER OPTIMIZATION ├── Combine related RUN commands with && \ ├── Order layers: least-changing first (deps before source code) ├── Clean package manager cache in the same RUN layer ├── Use .dockerignore to exclude unnecessary files └── Separate build deps from runtime deps BUILD CACHE ├── COPY dependency files before source code (package.json, requirements.txt, go.mod) ├── Install deps in a separate layer from code copy ├── Use BuildKit cache mounts: --mount=type=cache,target=/root/.cache └── Avoid COPY . . before dependency installation MULTI-STAGE BUILDS ├── Stage 1: build (full SDK, build tools, dev deps) ├── Stage 2: runtime (minimal base, only production artifacts) ├── COPY --from=builder only what's needed └── Final image should have NO build tools, NO source code, NO dev deps
What ships with it
4 files 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.
- 5d ago First seen · 368 lines · 84 tokens per session scan B 57dcae43ffa5
docker-development is a skill published in the GitHub repository Morningstar202604/awesome-skillkit (1 stars, last pushed today), licensed Apache-2.0. It adds 84 tokens to every session and 2,890 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it B with 1 finding (recursive force delete). It is 97% identical to docker-development, differing in 3 lines, and is treated as a copy.
Other skills, from other repositories
build-mcpb
This skill should be used when the user wants to "package an MCP server", "bundle an MCP", "make an MCPB", "ship a local MCP server", "distribute a local MCP", discusses ".mcpb files", mentions bundling a Node or Python runtime with their MCP server, or needs an MCP server that interacts with the local filesystem…
gke-app-onboarding
Manages GKE application onboarding, covering containerization, deployment manifests, and migration. Use when onboarding or deploying an application to GKE for the first time, or containerizing an app for GKE. Don't use for general GKE cluster administration or upgrades (use gke-basics or gke-upgrades instead).
wrangler
Cloudflare Workers CLI for deploying, developing, and managing Workers, KV, R2, D1, Vectorize, Hyperdrive, Workers AI, Containers, Queues, Workflows, Pipelines, and Secrets Store. Load before running wrangler commands to ensure correct syntax and best practices. Biases towards retrieval from Cloudflare docs over…
managing-astro-local-env
Manage local Airflow environment with Astro CLI (Docker and standalone modes). Use when the user wants to start, stop, or restart Airflow, view logs, query the Airflow API, troubleshoot, or fix environment issues. For project setup, see setting-up-astro-project.
kubernetes-patterns
Pods, deployments, services, ingress, RBAC, autoscaling, and production cluster best practices.
aws-cloudformation-ecs
Provides AWS CloudFormation patterns for ECS clusters, task definitions, services, container definitions, auto scaling, blue/green deployments, CodeDeploy integration, ALB integration, service discovery, monitoring, logging, template structure, parameters, outputs, and cross-stack references. Use when creating ECS…