docker

docker is a cursor rule for coding agents from ItamarZand88/awesome-agent-conventions. It costs 340 tokens per session, scanned A, a copy of docker, MIT.

Production-oriented rules for Docker files and Compose configurations. Docker packages applications and their dependencies into isolated containers that can run consistently across environments.

In plain words
What is it for?
Writing or reviewing Dockerfiles, Compose files, ignore rules, image users, build stages, health checks, volumes, networking, and logging.
Why use it?
They reduce avoidable security, reproducibility, and deployment problems such as unpinned versions, root processes, embedded secrets, and oversized images.

Cursor rule

Install

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.

agentmods
npx agentmods add rules/itamarzand88/awesome-agent-conventions/docker
Clone the repo
git clone --depth 1 https://github.com/ItamarZand88/awesome-agent-conventions

Wrote 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.

agentmods badge for docker

README.md
[![agentmods](https://agentmods.dev/badge/rules/itamarzand88/awesome-agent-conventions/docker.svg)](https://agentmods.dev/rules/itamarzand88/awesome-agent-conventions/docker)
Your own site
<a href="https://agentmods.dev/rules/itamarzand88/awesome-agent-conventions/docker"><img src="https://agentmods.dev/badge/rules/itamarzand88/awesome-agent-conventions/docker.svg" alt="Measured on agentmods" height="20"></a>
Per session 340 This file is loaded in full into every session.
When invoked 340 The same file — it is already loaded in full.
Security scan A 1 finding. Scan, not verified.
Origin 89% copy Near-identical to another mod in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00340 $0.00340
Opus 5 $0.00170 $0.00170
Sonnet 5 $0.00068 $0.00068
Haiku 4.5 $0.00034 $0.00034

Measured 3d ago against content hash 0ce27187576d, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

docker 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 3d 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 rootlowPrivilege escalation

A mod that escalates privileges can change anything on the machine, not only the project.

- Never run as root

Downgraded: this mod is about security review, or the phrase is quoted, so it is likely naming the pattern rather than instructing it.

Origin

This is a copy

89% identical to docker — 1 line 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.

conventions/agent-rules/examples/awesome-cursorrules-docker/docker.mdc · 45 lines

What it actually says


description: "Docker production rules. Pinned versions, multi-stage builds, non-root user, minimal attack surface." globs: Dockerfile, Dockerfile., docker-compose.yml, docker-compose*.yaml, .dockerignore alwaysApply: false

Docker Rules

Expert Docker practitioner. Minimal, secure, reproducible images.

Dockerfile

  • Pin versions: FROM node:20.11-alpine3.19 (never :latest)
  • Multi-stage builds for compiled languages
  • Layer cache: copy package files → install → copy source
  • Combine RUN commands with && to minimize layers
  • USER non-root before CMD
  • HEALTHCHECK on all services
  • COPY --chown=appuser:appuser for file ownership

Security

  • Never run as root
  • No secrets in Dockerfile or image layers
  • No .env files copied into image
  • Scan with docker scout or trivy in CI

.dockerignore

  • Always present: node_modules, .git, .log, .env, test files

Volumes

  • Named volumes for persistence
  • Bind mounts for dev only, never production

Networking

  • Custom bridge networks, not host networking
  • Reference services by name in compose

Logging

  • Always stdout/stderr — never log to files inside container

Forbidden

  • No :latest tags in production
  • No ADD when COPY works
  • No root user in production
  • No secrets in build args or image layers
Changes

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.

  1. 3d ago First seen · 45 lines · 340 tokens per session scan A 0ce27187576d

Subscribe to this mod's changes

docker is a cursor rule published in the GitHub repository ItamarZand88/awesome-agent-conventions (29 stars, last pushed 1mo ago), licensed MIT. It adds 340 tokens to every session, about $0.0017 per session on Opus 5. A static security scan graded it A with 1 finding (asks for root). It is 89% identical to docker, differing in 1 line, and is treated as a copy.

Related

Other cursor rules, from other repositories

life-premortem

Write the failure story of your year, relationship, move, or big life bet in advance — imagine it's a year later and it went wrong, tell that story vividly, then mine it for the real risks and the cheap things that would have prevented them. Use when someone says 'I'm about to make a big life change', 'what could go…

mohitagw15856/pm-claude-skills · 121 tokens

mechanic-quote-decoder

Read a garage quote or invoice like someone who can't be padded — which line items connect to your actual symptom, which are while-we're-in-there additions, the questions that make soft lines disappear, when a second opinion pays for itself, and the scripts for declining work without souring the relationship. Use when…

mohitagw15856/pm-claude-skills · 129 tokens

used-car-decoder

Decode a used-car listing before you drive an hour to see it — what the seller's phrasing is hiding, the history-check items that matter, a test-drive and inspection checklist ordered by cost-of-miss, the questions that make evasive sellers visible, and the walk-away signs ranked 🔴🟡🟢. Use when someone says 'is this…

mohitagw15856/pm-claude-skills · 129 tokens

agent-hiring-panel

Hire an AI agent the way you'd hire an employee — a role spec with success criteria, a structured work-sample interview run on your real tasks, reference checks (what do actual users report), probation KPIs, and termination criteria written before day one. Use when choosing between AI agents/tools/copilots for a job…

mohitagw15856/pm-claude-skills · 102 tokens

api-for-yourself

Publish 'how to work with me' as a literal API spec — endpoints (what to ask me for and what you'll get back), rate limits (meeting and interrupt tolerance), error codes (what happens when you surprise me Friday 5pm), auth (how to earn trust), and a changelog. Use when onboarding to a new team, when a new manager or…

mohitagw15856/pm-claude-skills · 112 tokens

the-understudy

Study 3-5 samples of the user's real writing and decisions, build an explicit 'how you think' profile, then draft new work as their understudy — always with a 'what I couldn't infer about you' list so the gaps are visible instead of guessed. Use when someone says 'write it like I would', 'learn my style', 'draft this…

mohitagw15856/pm-claude-skills · 110 tokens