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 racastellanosm/agent-skills --skill docker-and-orchestrationgit clone --depth 1 https://github.com/racastellanosm/agent-skillsWrote 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/racastellanosm/agent-skills/docker-and-orchestration)<a href="https://agentmods.dev/skills/racastellanosm/agent-skills/docker-and-orchestration"><img src="https://agentmods.dev/badge/skills/racastellanosm/agent-skills/docker-and-orchestration/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/racastellanosm/agent-skills/docker-and-orchestration"><img src="https://agentmods.dev/badge/skills/racastellanosm/agent-skills/docker-and-orchestration.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 | $0.00082 | $0.00884 |
| Opus 5 | $0.00041 | $0.00442 |
| Sonnet 5 | $0.00016 | $0.00177 |
| Haiku 4.5 | $0.00008 | $0.00088 |
Grade A, and why
docker-and-orchestration scanned grade A with 0 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 12d 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.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 75 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Docker & Orchestration Engineering Skill
This skill guides AI agents and engineers to build, standardize, and maintain containerized software environments following the Zero Host Dependencies philosophy:
🛡️ Zero Host Dependencies Invariant:
The host machine requires only Docker (with Compose) and GNU Make.
All runtimes (Bun, Node, PHP, Go, Python), package managers, linters, test runners, and database CLIs MUST execute inside isolated, ephemeral containers.
🧭 Core Architectural Pillars
[ Makefile Orchestrator ] ➔ [ Split Compose Layer ] ➔ [ Multi-Stage Container ]
(make <target>) (base vs .dev.yml) (deps ➔ test ➔ distroless)
- Deterministic Makefile Contract: Every development, testing, linting, and build workflow is invoked via standard Makefile targets (
make dev,make test,make check,make build). Never execute raw ad-hoc host runtime commands. - Split Docker Compose Topology: Clean separation between baseline service definitions (
docker-compose.yml) and local developer convenience overrides (docker-compose.dev.yml) for live code-mounting and hot-reload. - Multi-Stage & Hardened Container Architecture:
Stage 1 (Base & Deps): Caching manifests with deterministic lockfiles and--ignore-scripts.Stage 2 (Test & Dev): Test runners and tooling with non-root privileges.Stage 3 (Production): Distroless, scratch, or minimal alpine runtime without shell access or dev dependencies.
- Ephemeral Test Runners: Use
DOCKER_RUN := $(COMPOSE_DEV) run --rm --no-depsto run unit tests and linters in ephemeral containers without side effects or orphaned resources. - Supply Chain & Security Hardening: Non-root execution (
USER 1000:1000), read-only root filesystems, and strict audit checks.
📚 Deep-Dive References (On-Demand Retrieval)
When designing or modifying Dockerfiles, Compose setups, or Makefiles, load the specific reference guides:
- Makefile Orchestration Standards: Universal target contract, self-documenting help menu, ephemeral runner pattern, and stack-specific examples (Bun, PHP, Go, Python).
- Multi-Stage Dockerfile Guidelines: 3-stage pattern (Base ➔ Test/Dev ➔ Distroless Production), image selection matrix, and technology-specific patterns.
- Split Compose Topologies: Structuring
docker-compose.ymlvsdocker-compose.dev.yml, volume mounts, networking, and secret handling. - Container Security Hardening: Non-root user policies, supply chain integrity, minimal attack surface, and security audits.
What ships with it
6 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.
- 12d ago First seen · 75 lines · 82 tokens per session scan A d613dae12c5a
docker-and-orchestration is a skill published in the GitHub repository racastellanosm/agent-skills (1 stars, last pushed 20d ago), licensed MIT. It adds 82 tokens to every session and 884 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
Other skills, from other repositories
docker-expert
Build optimized, secure Docker images with multi-stage builds. Configure Docker Compose for full development and production stacks.
devcontainer-setup
Professional Devcontainer Setup Expert skill. Improve code delivery speed and developer workflows through automation and modern tooling.
Agents V2 Py
Build container-based Foundry Agents with Azure AI Projects SDK (ImageBasedHostedAgentDefinition). Use when creating hosted agents with custom container images in Azure AI Foundry.
Azd Deployment
Deploy containerized applications to Azure Container Apps using Azure Developer CLI (azd). Use when setting up azd projects, writing azure.yaml configuration, creating Bicep infrastructure for Cont...
Azure Containerregistry Py
Azure Container Registry SDK for Python. Use for managing container images, artifacts, and repositories. Triggers: "azure-containerregistry", "ContainerRegistryClient", "container images", "docker registry", "ACR".
apple-container
Build, run, and manage OCI/Linux containers as lightweight per-container VMs on Apple-silicon macOS using Apple's open-source container CLI, no Docker daemon required.