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/sordi-ai/skill-everything/dockernpx skills add sordi-ai/skill-everything --skill dockergit clone --depth 1 https://github.com/sordi-ai/skill-everythingWrote 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/sordi-ai/skill-everything/docker)<a href="https://agentmods.dev/skills/sordi-ai/skill-everything/docker"><img src="https://agentmods.dev/badge/skills/sordi-ai/skill-everything/docker.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 | $0.00035 | $0.01025 |
| Opus 5 | $0.00017 | $0.00513 |
| Sonnet 5 | $0.00007 | $0.00205 |
| Haiku 4.5 | $0.00003 | $0.00103 |
Grade A, and why
docker 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 4d 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 — 72 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Sub-Skill: Docker / Container Conventions
Purpose: Prevent common container mistakes — busted layer caches, bloated images, insecure defaults, and compose misconfigurations — before they reach CI or production.
Rules
Layer Ordering & Cache
- Dependency layer first. Always install dependencies in a separate layer before copying application source, so a source change does not invalidate the package cache. Reference: ERR-2026-020
- Copy only what's needed early. Before copying the full source tree, copy only the dependency manifest files (e.g.,
requirements.txt,package.json,pyproject.toml) so the install layer is cached independently. - Minimise layer count. Prefer chaining related
RUNcommands with&&and\continuations rather than issuing oneRUNper command; eachRUNcreates a new layer. - Order by change frequency. Always place instructions that change rarely (OS packages, global tools) before instructions that change often (app source, config files).
Multi-Stage Builds
- Use multi-stage for compiled artefacts. Always use a builder stage to compile or bundle, then copy only the final artefact into a minimal runtime stage; never ship build toolchains in the production image.
- Name every stage. Use
AS <name>on everyFROMline so later stages anddocker build --targetcalls are readable and stable. - Pin the runtime base image. Always pin base images to a specific digest or immutable tag (e.g.,
python:3.12.3-slim) in the runtime stage; never uselatestin production Dockerfiles.
Security
- Run as non-root. Always create a dedicated non-root user and switch to it with
USERbefore the finalCMD/ENTRYPOINT; never run application processes asrootinside a container. - Never embed secrets in image layers. Never pass secrets via
ARGorENVin a Dockerfile; use Docker BuildKit--secretmounts or runtime environment injection instead. - Scan images before push. Before pushing any image to a registry, run an image vulnerability scanner (e.g.,
trivy image,docker scout) and fail the pipeline on critical CVEs. - Prefix docker run -v from Git Bash with MSYS_NO_PATHCONV=1. Always prefix
docker run -vcalls issued from Git Bash or MSYS on Windows withMSYS_NO_PATHCONV=1to prevent path mangling. Reference: ERR-2026-013
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.
- 4d ago First seen · 72 lines · 35 tokens per session scan A b15d0ebfdfbc
docker is a skill published in the GitHub repository sordi-ai/skill-everything (20 stars, last pushed 3mo ago), licensed MIT. It adds 35 tokens to every session and 1,025 once invoked, about $0.0002 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 2026-08-30.
Other skills, from other repositories
docker-manage
Manage Docker containers, images, volumes, and Compose stacks. Requires Docker CLI access.
app-platform-sandbox
Create and manage isolated container sandboxes for AI agent code execution. Use when you need ephemeral environments to run untrusted code, execute agent workflows, or test in isolation. NOT for debugging existing apps (use troubleshooting skill).
domain-cloud-native
Use when building cloud-native apps. Keywords: kubernetes, k8s, docker, container, grpc, tonic, microservice, service mesh, observability, tracing, metrics, health check, cloud, deployment, 云原生, 微服务, 容器.
validate-context-routes
Validate that literal project-relative paths referenced by a project's root AGENTS.md exist. Use when changing AGENTS.md routing, moving shared documentation or .agents resources, or checking a dotagents example.
deployment-cicd
Deploy applications with confidence using CI/CD pipelines, containerization, and infrastructure as code. Covers GitHub Actions, Docker, Vercel, and cloud deployment patterns. Triggers on deployment, CI/CD, Docker, GitHub Actions, or DevOps requests.
aif-dockerize
Analyze project and generate Docker configuration: Dockerfile (multi-stage dev/prod), compose.yml, compose.override.yml (dev), compose.production.yml (hardened), and .dockerignore. Includes production security audit. Use when user says "dockerize", "add docker", "docker compose", "containerize", or "setup docker".