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optimize-png

optimize-png is a skill for Claude Code from danielrosehill/Claude-Image-Production-Plugin. It costs 79 tokens per session (908 once invoked), scanned A, original, MIT.

A utility for reducing the file size of PNG images, either without changing decoded pixels or with controlled quality loss. It can process individual files or directories.

In plain words
What is it for?
Use it to optimize screenshots, illustrations, and other PNG files before web upload or archival.
Why use it?
It makes PNG assets smaller for websites, interfaces, or storage while letting you choose between exact preservation and stronger compression.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the image-production plugin — 29 skills, 19 commands shipped together

not rated 16repo 23d ago A scan SkillSpector: pass 79 tokens original MIT

Good fit Use it to optimize screenshots, illustrations, and other PNG files before web upload or archival.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/danielrosehill/claude-image-production-plugin/optimize-png
View source ↗ danielrosehill/Claude-Image-Production-Plugin
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.

Any agent
npx skills add danielrosehill/Claude-Image-Production-Plugin --skill optimize-png
Clone the repo
git clone --depth 1 https://github.com/danielrosehill/Claude-Image-Production-Plugin

Made for: Claude Code.

Or install image-production, the plugin that ships this one along with the rest of its 29 skills, 19 commands.

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 optimize-png

README.md
[![agentmods](https://agentmods.dev/badge/skills/danielrosehill/claude-image-production-plugin/optimize-png/github.svg)](https://agentmods.dev/skills/danielrosehill/claude-image-production-plugin/optimize-png)
Your own site
<a href="https://agentmods.dev/skills/danielrosehill/claude-image-production-plugin/optimize-png"><img src="https://agentmods.dev/badge/skills/danielrosehill/claude-image-production-plugin/optimize-png/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.

agentmods 80×15 button for optimize-png

Your own site · 80×15
<a href="https://agentmods.dev/skills/danielrosehill/claude-image-production-plugin/optimize-png"><img src="https://agentmods.dev/badge/skills/danielrosehill/claude-image-production-plugin/optimize-png.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 79 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 908 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 5.1 $0.00079 $0.00908
Opus 5 $0.00039 $0.00454
Sonnet 5 $0.00016 $0.00182
Haiku 4.5 $0.00008 $0.00091

Measured 10d ago against content hash 5a20ab66d523, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

optimize-png 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 10d 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.

skills/optimize-png/SKILL.md · 73 lines

How it starts

The opening of the file, as written. The whole thing — 73 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Optimize PNG

Squeeze PNG file size. Two modes:

  • lossless (default) — oxipng. Byte-identical decode. Always safe.
  • lossy — pngquant. Palette-quantised; visible artefacts only on smooth gradients. Right call for web/UI assets.

When to use

  • Web-prep: PNG screenshots, UI assets, illustrations destined for upload.
  • Archival: shave a few hundred MB off a folder of PNG masters losslessly.
  • Pre-step inside web-ready orchestrator.

Do not use this skill when:

  • Source is JPEG → use optimize-jpeg.
  • Source is RAW/HEIC/TIFF → run web-ready end-to-end first.
  • Quality must be bit-perfect for cryptographic hashing → only use lossless mode.

Inputs

  1. Input — file or directory. Required.
  2. Mode — lossless (default) or lossy.
  3. Recursive — --recursive for directory descent.
  4. In-place — default. --output-dir <path> to write copies.
  5. Lossless level (mode=lossless) — oxipng -o <0..6>. Default 4. 6 is ~20% slower for ~1–2% extra compression.
  6. Lossy quality (mode=lossy) — pngquant --quality min-max. Default 65-80 (web-good). Increase floor for sensitive material.
  7. Strip metadata — default off. --strip removes EXIF/iTXt/zTXt/tIME chunks (oxipng --strip safe). Use when web-prep doesn't need camera info.

Procedure

  1. Verify the relevant binary exists. which oxipng for lossless; which pngquant for lossy. If missing, point at install-deps.

  2. Enumerate inputs (PNG only — skip non-PNG with a one-line note).

  3. Lossless (oxipng):

    oxipng -o <level> [--strip safe] [--out <out-dir>] "<input>"

    In-place is the default; pass --out only if --output-dir was set. oxipng is multithreaded by default — no need to xargs-parallelise.

  4. Lossy (pngquant):

    pngquant --quality <min>-<max> --skip-if-larger --strip --output "<output>" "<input>"

    --skip-if-larger is critical — pngquant occasionally produces a larger file on already-quantised inputs; this prevents inflation. --strip removes optional chunks (default off in pngquant — explicitly enable for web-prep).

Read the full file on GitHub · 73 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. 10d ago First seen · 73 lines · 79 tokens per session scan A 5a20ab66d523

Subscribe to this mod's changes

optimize-png is a skill published in the GitHub repository danielrosehill/Claude-Image-Production-Plugin (16 stars, last pushed 23d ago), licensed MIT. It adds 79 tokens to every session and 908 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 2026-08-30.

Creative and media
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