raw-photo-lightroom-preset

raw-photo-lightroom-preset is a skill for Codex from Automaat/lightroom-mcp. It costs 74 tokens per session (1,038 once invoked), scanned A, original, MIT.

A Lightroom workflow for selecting and editing RAW photographs while preserving the original files and existing master edits. Lightroom is Adobe's photo-editing application, and RAW files contain largely unprocessed camera data.

In plain words
What is it for?
Use it for RAW photo culling, Lightroom or Camera Raw edits, matching a reference style, creating reusable presets, and producing previews or XMP files when needed.
Why use it?
It keeps technical corrections separate from creative styling and uses rendered previews to guide adjustments instead of guessing from incomplete image data.

Skill for Codex

Written for Codex: agents/openai.yaml present.

Good fit Use it for RAW photo culling, Lightroom or Camera Raw edits, matching a reference style, creating reusable presets, and producing previews or XMP files when needed.

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Install with agentmods
npx agentmods add skills/automaat/lightroom-mcp/raw-photo-lightroom-preset
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 Automaat/lightroom-mcp --skill raw-photo-lightroom-preset
Clone the repo
git clone --depth 1 https://github.com/Automaat/lightroom-mcp

Made for: 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 raw-photo-lightroom-preset

README.md
[![agentmods](https://agentmods.dev/badge/skills/automaat/lightroom-mcp/raw-photo-lightroom-preset/github.svg)](https://agentmods.dev/skills/automaat/lightroom-mcp/raw-photo-lightroom-preset)
Your own site
<a href="https://agentmods.dev/skills/automaat/lightroom-mcp/raw-photo-lightroom-preset"><img src="https://agentmods.dev/badge/skills/automaat/lightroom-mcp/raw-photo-lightroom-preset/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 raw-photo-lightroom-preset

Your own site · 80×15
<a href="https://agentmods.dev/skills/automaat/lightroom-mcp/raw-photo-lightroom-preset"><img src="https://agentmods.dev/badge/skills/automaat/lightroom-mcp/raw-photo-lightroom-preset.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 74 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,038 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 $0.00074 $0.01038
Opus 5 $0.00037 $0.00519
Sonnet 5 $0.00015 $0.00208
Haiku 4.5 $0.00007 $0.00104

Measured 12d ago against content hash a726bee7c32b, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

raw-photo-lightroom-preset 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.

The scan reads SKILL.md. This mod also ships 2 executable files (scripts/generate_xmp_preset.py, tests/test_generate_xmp_preset.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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/raw-photo-lightroom-preset/SKILL.md · 82 lines

How it starts

The opening of the file, as written. The whole thing — 82 lines — stays where its author put it; the contents beside it link to each section on GitHub.

RAW Photo Lightroom Preset v2

Core rules

  • Judge color only from RAW files rendered by Lightroom/Camera Raw. Use ordinary camera JPGs only for composition, focus, and expression triage.
  • Preserve originals and the user's master edit. Do not move, rename, delete, overwrite, or batch-edit photos unless the user asks.
  • Treat a preset as a reusable starting point, not a finished edit.
  • Separate technical correction from creative style. Never guess 30-50 sliders at once.
  • Prefer a closed loop: inspect Lightroom state, render, adjust a small pass, render again, compare, then continue.
  • Do not claim Lightroom import, visual fidelity, or manual QA passed unless it was actually performed.

Choose the route

  1. Read references/workflow.md for every shoot.
  2. Read references/style-library.md before choosing a style or reference direction.
  3. If Lightroom MCP tools are available and Lightroom Classic is running, also read references/lightroom-mcp.md and use the closed-loop route.
  4. Otherwise use Lightroom/Camera Raw neutral previews and the manual-preview route. State that Lightroom-side feedback is unavailable.
  5. If provenance is missing or ambiguous, stop color work and mark the affected item 未分類.

Closed-loop route

Use one representative RAW per lighting cluster first.

  1. Capture the current photo metadata and develop settings.
  2. If the user has an approved historical look, list presets and read it with get_develop_preset. Use UUID or folder/scope to avoid duplicate-name ambiguity.
  3. Export a baseline JPEG from Lightroom into a new empty review folder.
  4. Apply one bounded pass at a time:
    • technical correction;
    • tonal shape;
    • color correction;
    • creative look;
    • detail/noise.
  5. Export and inspect after each pass. Compare against the baseline and any user-approved reference image.
  6. When the fork tools are available, create uniquely versioned checkpoints with create_develop_preset and diff them against the approved look with compare_develop_presets.
  7. Keep a checkpoint log of settings and rendered files. Stop when the remaining difference needs masks, crop, healing, AI Denoise, or subjective user choice.
  8. Ask for approval on representative before/after results before copying settings across a cluster.
  9. Export an accepted custom/checkpoint preset with export_develop_preset; never overwrite an existing destination. Import it into Lightroom before claiming compatibility. Use Lightroom's UI for a visible canonical preset when needed. The bundled generator remains a fallback for a verified global-setting subset.

Read the full file on GitHub · 82 lines

Files

What ships with it

7 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. 12d ago First seen · 82 lines · 74 tokens per session scan A a726bee7c32b

Subscribe to this mod's changes

raw-photo-lightroom-preset is a skill published in the GitHub repository Automaat/lightroom-mcp (83 stars, last pushed 2d ago), licensed MIT. It adds 74 tokens to every session and 1,038 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.

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