agentmods.dev

dockerfile-optimizer

dockerfile-optimizer is a skill for Claude Code, Codex from codebygarv/Ai-skills. It costs 28 tokens per session (383 once invoked), scanned A, original, MIT.

A Dockerfile review and optimization guide for building smaller container images with separate build and runtime stages, cached layers, and safer runtime settings.

In plain words
What is it for?
Use it to improve Dockerfiles for CI or production, including dependency caching, minimal base images, and non-root execution.
Why use it?
It helps reduce slow image builds, oversized production images, and unnecessary build tools or privileges in running containers.

Skill for Claude CodeCodex

not rated 24 15d ago A scan 28 tokens original MIT
View the source file codebygarv/Ai-skills
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 skills/codebygarv/ai-skills/dockerfile-optimizer
Any agent
npx skills add codebygarv/Ai-skills --skill dockerfile-optimizer
Clone the repo
git clone --depth 1 https://github.com/codebygarv/Ai-skills

Made for: Claude Code, Codex.

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 dockerfile-optimizer

README.md
[![agentmods](https://agentmods.dev/badge/skills/codebygarv/ai-skills/dockerfile-optimizer.svg)](https://agentmods.dev/skills/codebygarv/ai-skills/dockerfile-optimizer)
Your own site
<a href="https://agentmods.dev/skills/codebygarv/ai-skills/dockerfile-optimizer"><img src="https://agentmods.dev/badge/skills/codebygarv/ai-skills/dockerfile-optimizer.svg" alt="Measured on agentmods" height="20"></a>
Per session 28 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 383 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found 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 $0.00028 $0.00383
Opus 5 $0.00014 $0.00192
Sonnet 5 $0.00006 $0.00077
Haiku 4.5 $0.00003 $0.00038

Measured yesterday against content hash 11b39868f4cb, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

dockerfile-optimizer 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 yesterday.

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.

skills/utilities/dockerfile-optimizer/SKILL.md · 34 lines

What it actually says

Purpose

Analyze and optimize container Dockerfiles for minimal image size (Alpine / Distroless), lightning-fast layer caching, non-root security hardening, and clean signal handling.

When to Use

  • Container image builds take minutes instead of seconds in CI.
  • Production images are bloated (e.g. 1.5GB for a simple Node or Go binary).
  • Security vulnerability scans flag build toolchains (gcc, git, npm) present in production runtime images.

What to Analyze

  1. Multi-Stage Builds: Separate build-time dependencies (compilers, devDependencies) from lean runtime artifacts.
  2. Layer Caching Optimization: Copy lockfiles and install dependencies before copying entire application source code.
  3. Base Image Selection: Use minimal, patched base images (node:20-alpine, gcr.io/distroless/static, chainguard).
  4. Security Hardening: Explicit non-root user creation (USER node / USER nonroot), removing package managers from final image.
  5. Execution Mechanics: Use exec form (ENTRYPOINT ["node", "server.js"]) rather than shell form to ensure proper PID 1 signal forwarding.

Output Format

  • Optimized Dockerfile: Production-ready, commented multi-stage Dockerfile.
  • Image Size Comparison: Estimated reduction (e.g. 1.2GB $ ightarrow$ 85MB).
  • Security & Caching Improvements: Explanation of layer order and user hardening.

Avoid

  • Running containers as root (UID 0) in production.
  • Using ADD instead of COPY for local files.
Files

What ships with it

2 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.

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. yesterday First seen · 34 lines · 28 tokens per session scan A 11b39868f4cb

Subscribe to this mod's changes

dockerfile-optimizer is a skill published in the GitHub repository codebygarv/Ai-skills (24 stars, last pushed 15d ago), licensed MIT. It adds 28 tokens to every session and 383 once invoked, about $0.0001 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 2026-09-03.

ContainersDevOps and cloudaiai-agentsai-codingai-skillai-skill-enhancementai-skills
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