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auto-white-balance

auto-white-balance is a skill for Claude Code from danielrosehill/Claude-Image-Production-Plugin. It costs 92 tokens per session (1,479 once invoked), scanned A, original, MIT.

An image-editing skill that corrects unwanted colour casts, such as yellow indoor light or blue-green underwater lighting.

In plain words
What is it for?
It helps correct indoor photos, aged scans, underwater images, and batches of gallery pictures.
Why use it?
It removes the need to fix colour balance by hand and can make images from different lighting conditions more consistent.

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 21repo yesterday A scan SkillSpector: pass 92 tokens original MIT

Good fit It helps correct indoor photos, aged scans, underwater images, and batches of gallery pictures.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/danielrosehill/claude-image-production-plugin/auto-white-balance
View source ↗ danielrosehill/Claude-Image-Production-Plugin blog.danielrosehill.com
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 auto-white-balance
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 auto-white-balance

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/danielrosehill/claude-image-production-plugin/auto-white-balance"><img src="https://agentmods.dev/badge/skills/danielrosehill/claude-image-production-plugin/auto-white-balance.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 92 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,479 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 $0.00092 $0.01479
Opus 5.5 $0.00037 $0.00592
Sonnet 5.5 $0.00018 $0.00296
Haiku 4.5 $0.00009 $0.00148

Measured 2mo ago against content hash b72af6e7e48d, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

auto-white-balance 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 2mo 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/auto-white-balance/SKILL.md · 102 lines

How it starts

The opening of the file, as written. The whole thing — 102 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Auto White Balance

Neutralise colour casts without per-image manual correction. Three algorithms, one CLI.

  • gray-world (default) — assume the average of the scene is neutral grey. Scale each RGB channel so its mean equals the global mean. Robust on most natural scenes.
  • white-patch — assume the brightest pixels are white. Per-channel -auto-level stretches each channel to full range. Strong correction; fails on scenes lacking a true white reference.
  • combined — gray-world first, then a gentle white-patch pass at 50% strength. Good default for mixed-light indoor shots.

When to use

  • Indoor photos under tungsten/fluorescent/LED with the wrong WB preset.
  • Scanned prints / slides with age-related cast.
  • Underwater or aquarium shots (heavy blue/green cast).
  • Batch normalisation before publishing a gallery shot across multiple lighting conditions.

Do not use this skill when:

  • Source is a RAW file (CR2/NEF/ARW/DNG/RAF) — use darktable-cli with --apply-custom-presets and the temperature module set to as shot to reference. White-balancing a baked JPEG throws away headroom that's still in the RAW.
  • The cast is intentional (golden hour, sodium streetlamps for mood, blue-hour landscapes). Auto-WB will flatten it.
  • The image is a deliberately monochromatic / toned edit.

Inputs

  1. Input — file or directory. Required.
  2. Mode — gray-world (default) | white-patch | combined.
  3. Recursive — --recursive for directory descent.
  4. Output — default in-place suffix _wb next to the source. --output-dir <path> to write into a sibling folder. --overwrite to replace.
  5. Strength — 0.0 to 1.0 (default 1.0). Blends the corrected image with the original via -compose blend -define compose:args=<pct>. Use 0.5 for a softer touch.
  6. Preserve luminance — default on. After channel scaling, rescale so the mean luminance matches the original (prevents brightness drift). --no-preserve-luma to disable.

Read the full file on GitHub · 102 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. 2mo ago First seen · 102 lines · 92 tokens per session scan A b72af6e7e48d

Subscribe to this mod's changes

auto-white-balance is a skill published in the GitHub repository danielrosehill/Claude-Image-Production-Plugin (21 stars, last pushed yesterday), licensed MIT. It adds 92 tokens to every session and 1,479 once invoked, about $0.0004 per session on Opus 5.5. 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
Related

auto-white-balance compared with skills from other repositories

auto-white-balance next to 6 skills from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
auto-white-balancedanielrosehill/Claude-Image-Production-PluginSkill21yesterdayMITA92Claude Code
imagegenopenai/codexSkill133kyesterdayApache-2.0A113Codex
playwright-climicrosoft/playwrightSkill99kyesterdayApache-2.0A19Claude Code
local-ai-agentsmicrosoft/ai-agents-for-beginnersSkill79k4d agoMITA200Claude Code, Codex
systematic-debuggingobra/superpowersSkill313k3d agoMITA21Claude Code
next-cache-components-adoptionvercel/next.jsSkill143kyesterdayMITA95Claude Code
next-partial-prefetching-adoptionvercel/next.jsSkill143kyesterdayMITA103Claude Code