image-optimization

image-optimization is a skill for Claude Code, Codex from arjunprabhulal/devops-skills. It costs 114 tokens per session (1,201 once invoked), scanned C, original, MIT.

A guide to making container images smaller and faster to build. Container images package an application and its runtime files for deployment.

In plain words
What is it for?
Choosing base images, reducing layers and dependencies, configuring .dockerignore, building for multiple processor types, and measuring image contents.
Why use it?
Smaller images build, download, and start faster, while carrying fewer unnecessary components.

Skill for Claude CodeCodex

Part of the devops-skills plugin — 56 skills shipped together

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/arjunprabhulal/devops-skills/image-optimization
Any agent
npx skills add arjunprabhulal/devops-skills --skill image-optimization
Clone the repo
git clone --depth 1 https://github.com/arjunprabhulal/devops-skills

Made for: Claude Code, Codex.

Or install devops-skills, the plugin that ships this one along with the rest of its 56 skills.

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 image-optimization

README.md
[![agentmods](https://agentmods.dev/badge/skills/arjunprabhulal/devops-skills/image-optimization.svg)](https://agentmods.dev/skills/arjunprabhulal/devops-skills/image-optimization)
Your own site
<a href="https://agentmods.dev/skills/arjunprabhulal/devops-skills/image-optimization"><img src="https://agentmods.dev/badge/skills/arjunprabhulal/devops-skills/image-optimization.svg" alt="Measured on agentmods" height="20"></a>
Per session 114 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,201 The whole file, excluding the scripts and references it only reads on demand.
Security scan C 2 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 $0.00114 $0.01201
Opus 5 $0.00057 $0.00600
Sonnet 5 $0.00023 $0.00240
Haiku 4.5 $0.00011 $0.00120

Measured 3d ago against content hash d8ddb46d3437, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade C, and why

image-optimization scanned grade C with 2 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 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.

Recursive force deletehighDestructive command

rm -rf with a variable or a broad path is one typo away from removing the wrong tree.

&& rm -rf /var/lib/apt/lists/*

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

RUN apt-get update && apt-get install -y --no-install-recommends curl \
skills/containers/image-optimization/SKILL.md · 98 lines

How it starts

The opening of the file, as written. The whole thing — 98 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Image Optimization

Size and build time are the same problem viewed from two angles: both come from carrying more into the image, and into the build, than the running application needs. A slow build is usually a large one — the layers you push are the layers a runner had to pull, unpack, and cache too.

Optimize by removing, not by compressing after the fact. The fastest layer to pull is the one that was never built.

1. Choose the smallest base that still lets you debug

scratch and distroless bases produce the smallest, lowest-attack-surface images, but they ship without a shell — a production incident that needs exec-ing in becomes much harder. A distro-based "slim" variant is usually the right default: small enough to matter, still debuggable. Reserve scratch for statically-linked binaries (Go, Rust) where you genuinely never need a shell inside the container, and keep a debug-variant image or an ephemeral debug container available as a sidecar for when you do.

  • Default to -slim or distroless for interpreted-language runtimes.
  • Use scratch only for fully static binaries with no runtime dependency on libc or a shell.
  • Keep a debug path (ephemeral containers, sidecar) rather than adding shell tools "just in case."

Done when: the base is the smallest variant that still supports your actual debugging workflow.

2. Collapse and reorder layers deliberately

Every RUN, COPY, and ADD is a layer, and layers do not shrink when a later layer deletes their contents — deleting a file in layer 5 does not reclaim the space it took in layer 3. Chain related commands with && so temporary files never persist as their own layer, and clean package manager caches in the same RUN that created them:

RUN apt-get update && apt-get install -y --no-install-recommends curl \
    && rm -rf /var/lib/apt/lists/*

Layer order still matters for cache reuse (see containerization), but here the goal is layer count and content — fewer, tighter layers pull and unpack faster regardless of cache state.

Read the full file on GitHub · 98 lines

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 · 98 lines · 114 tokens per session scan C d8ddb46d3437

Subscribe to this mod's changes

image-optimization is a skill published in the GitHub repository arjunprabhulal/devops-skills (2 stars, last pushed 9d ago), licensed MIT. It adds 114 tokens to every session and 1,201 once invoked, about $0.0006 per session on Opus 5. A static security scan graded it C with 2 findings (recursive force delete, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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