threejs-exposure-color-grading

threejs-exposure-color-grading is a skill for Codex from linegel/threejs-complete-set-of-skill. It costs 50 tokens per session (1,609 once invoked), scanned A, original, ISC.

A Three.js image-processing guide for measuring scene brightness and adjusting exposure, colour grading, tone mapping, and 3D lookup tables. A 3D lookup table is a data set that remaps colours for a chosen look.

In plain words
What is it for?
Use it to choose fixed or automatic exposure, adapt exposure on the GPU, assign tone mapping and display conversion, and place and validate colour lookup tables.
Why use it?
It keeps lighting values in a consistent scene-linear form until the final image and prevents multiple systems from fighting over exposure or output conversion.

Skill for Codex

Written for Codex: agents/openai.yaml present. Also seen: $skill-name invocation.

Good fit Use it to choose fixed or automatic exposure, adapt exposure on the GPU, assign tone mapping and display conversion, and place and validate colour lookup tables.

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Install with agentmods
npx agentmods add skills/linegel/threejs-complete-set-of-skill/threejs-exposure-color-grading
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 linegel/threejs-complete-set-of-skill --skill threejs-exposure-color-grading
Clone the repo
git clone --depth 1 https://github.com/linegel/threejs-complete-set-of-skill

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 threejs-exposure-color-grading

README.md
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Your own site
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Your own site · 80×15
<a href="https://agentmods.dev/skills/linegel/threejs-complete-set-of-skill/threejs-exposure-color-grading"><img src="https://agentmods.dev/badge/skills/linegel/threejs-complete-set-of-skill/threejs-exposure-color-grading.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 50 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,609 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.
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 $0.00050 $0.01609
Opus 5 $0.00025 $0.00805
Sonnet 5 $0.00010 $0.00322
Haiku 4.5 $0.00005 $0.00161

Measured 12d ago against content hash bd0a8feafc35, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

threejs-exposure-color-grading 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 1 executable file (examples/identity-3d-lut.mjs), 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/threejs-exposure-color-grading/SKILL.md · 170 lines

How it starts

The opening of the file, as written. The whole thing — 170 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Exposure And Color Grading

Keep the photographed signal scene-linear until the final image chain. One declared owner controls each exposure group, tone map, and output conversion.

1. Lock the color contract

Name the scene-linear working primaries, radiance scale, alpha convention, and every producer that enters the photographed signal. Convert irradiance through the material/lighting model before metering radiance. Apply one shared physical or perceptual radiance scale to lights, environment, atmosphere, emissive materials, bloom sources, and optical effects.

Partition targets or views into exposure-control groups. A group may share GPU state only when its radiance basis, exposure policy, and reset history are identical; an automatic group also requires the same meter mask, key, and sample schedule. Assign exactly one exposure owner, one tone-map owner, and one output-conversion owner per group.

Complete when: every photographed input has one basis and scale, and every group names its members, exposure/tone-map/output owners, and state-sharing policy.

2. Choose the cheapest meter that meets the image requirement

Choose in dependency order:

  1. fixed EV for a controlled or calibrated view;
  2. a stratified grid or tile sampler for ordinary global auto exposure;
  3. exact full-pixel hierarchical reduction when every pixel or exact mask must contribute;
  4. a log-luminance pyramid only when another feature consumes its levels or spatial statistics;
  5. a histogram only when percentile clipping fixes a demonstrated outlier or bimodal-lighting failure.

Tap resolved, pre-bloom HDR by default. This keeps temporal noise out of the meter and avoids bloom/exposure feedback. A different tap is an authored image policy with a regression fixture.

Read the color-pipeline reference when implementing sampled, exact, pyramid, or histogram metering; it contains the weighted-log equations, traffic model, and small-emitter failure tests.

Read the full file on GitHub · 170 lines

Files

What ships with it

4 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 · 170 lines · 50 tokens per session scan A bd0a8feafc35

Subscribe to this mod's changes

threejs-exposure-color-grading is a skill published in the GitHub repository linegel/threejs-complete-set-of-skill (6 stars, last pushed 1mo ago), licensed ISC. It adds 50 tokens to every session and 1,609 once invoked, about $0.0003 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 2026-08-31.