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.
npx skills add danielrosehill/Claude-Image-Production-Plugin --skill auto-white-balancegit clone --depth 1 https://github.com/danielrosehill/Claude-Image-Production-PluginWrote 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.
[](https://agentmods.dev/skills/danielrosehill/claude-image-production-plugin/auto-white-balance)<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.
<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>- NVIDIA SkillSpector pass
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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00092 | $0.01479 |
| Opus 5 | $0.00046 | $0.00740 |
| Sonnet 5 | $0.00018 | $0.00296 |
| Haiku 4.5 | $0.00009 | $0.00148 |
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 12d 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.
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-levelstretches 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-cliwith--apply-custom-presetsand thetemperaturemodule set toas 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
- Input — file or directory. Required.
- Mode —
gray-world(default) |white-patch|combined. - Recursive —
--recursivefor directory descent. - Output — default in-place suffix
_wbnext to the source.--output-dir <path>to write into a sibling folder.--overwriteto replace. - Strength —
0.0to1.0(default1.0). Blends the corrected image with the original via-compose blend -define compose:args=<pct>. Use0.5for a softer touch. - Preserve luminance — default
on. After channel scaling, rescale so the mean luminance matches the original (prevents brightness drift).--no-preserve-lumato disable.
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.
- 12d ago First seen · 102 lines · 92 tokens per session scan A b72af6e7e48d
auto-white-balance is a skill published in the GitHub repository danielrosehill/Claude-Image-Production-Plugin (17 stars, last pushed 25d ago), licensed MIT. It adds 92 tokens to every session and 1,479 once invoked, about $0.0005 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.
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