video-color-grade

video-color-grade is a skill for Claude Code, Codex from WhiteTowerAI/cut-as-code. It costs 47 tokens per session (3,015 once invoked), scanned A, original, MIT.

A code-based video color workflow that corrects footage, creates several named visual styles, helps choose one, exports a portable .cube color lookup table and applies it to the full clip. A LUT is a reusable set of color changes.

In plain words
What is it for?
Correcting Log or Rec.709 footage, creating warm, cool or other looks, reviewing faces and exporting or applying a LUT.
Why use it?
It separates basic correction from creative styling and includes checks for white balance, exposure and skin tones before the final look is applied.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Needs its repository: it reads a path above its own folder, which exists only inside the repository. The line is "selected_lut": "../../final/selected-color-look.cube",.

Good fit Correcting Log or Rec.709 footage, creating warm, cool or other looks, reviewing faces and exporting or applying a LUT.

Compare 6 skills from other repositories ↓
Install

Getting it into your agent

It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.

Clone the repo
git clone --depth 1 https://github.com/WhiteTowerAI/cut-as-code
agentmods
npx agentmods add skills/whitetowerai/cut-as-code/video-color-grade

Made for: Claude Code, 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 video-color-grade

README.md
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Your own site
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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.

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Your own site · 80×15
<a href="https://agentmods.dev/skills/whitetowerai/cut-as-code/video-color-grade"><img src="https://agentmods.dev/badge/skills/whitetowerai/cut-as-code/video-color-grade.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 47 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,015 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 $0.00047 $0.03015
Opus 5 $0.00023 $0.01507
Sonnet 5 $0.00009 $0.00603
Haiku 4.5 $0.00005 $0.00301

Measured 10d ago against content hash 0fc6d9a5cb71, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

video-color-grade 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.

The scan reads SKILL.md. This mod also ships 6 executable files (scripts/apply_grade.py, scripts/assess.py, scripts/bake_lut.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/video-color-grade/SKILL.md · 219 lines

How it starts

The opening of the file, as written. The whole thing — 219 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Video Color Grade (assess → correct → looks → choose → LUT + apply)

Write the grade from scratch as code, generate several distinct named looks on the real footage, select one through explicit human choice or delegated agent judgment, then bake a portable .cube LUT and apply it to the full clip. No preset packs.

Core idea — correct, then style. Every look is corrective base + creative layer:

  • corrective base makes the footage honest — for flat LOG/HLG it's the log→Rec.709 conversion; for already-Rec.709 footage it's WB neutralize + exposure + mild contrast. Every look shares this base, so "neutral" stays meaningful and looks differ by intent.
  • creative layer is the look stacked on top (warm / cool / teal-orange / punchy / faded…).

Skin is the quality bar. On people — especially darker skin — teal_orange and cool_desat routinely throw a green/grey cast. Judge every look on faces first; keep midtone warmth, push the tint into shadows/highlights/background, prefer vibrance over raw saturation. Don't push the white balance all the way to neutral or skin goes lifeless.

Requirements: ffmpeg/ffprobe on PATH, Python with numpy + Pillow.

Contract

  • Every look = base + creative layer; the base is shared by all looks.
  • All looks render on the same representative frame (a fair, controlled comparison), labeled, at full resolution.
  • The full apply uses -c:a copy (audio never re-encoded → A/V sync identical) and keeps source duration, fps, dimensions.
  • Complete look selection before delivery. Use human mode when the user asked to choose; use agent mode without pausing when the user delegated the choice or requested an autonomous run. In both modes, preserve the rationale in the durable plan.

Project protocol workflow

Store the durable decision in work/color-grade/grade-plan.json:

{
  "schema_version": 1,
  "target": "base-video",
  "base": "eq=contrast=1.05",
  "looks": [{"name": "clean", "chain": "null"}],
  "selected_look": "clean",
  "selection_mode": "agent",
  "selection_rationale": "Neutral correction preserves natural skin and source lighting.",
  "selected_lut": "../../final/selected-color-look.cube",
  "evidence_refs": ["media:source"]
}

Read the full file on GitHub · 219 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. 10d ago First seen · 219 lines · 47 tokens per session scan A 0fc6d9a5cb71

Subscribe to this mod's changes

video-color-grade is a skill published in the GitHub repository WhiteTowerAI/cut-as-code (11 stars, last pushed 17d ago), licensed MIT. It adds 47 tokens to every session and 3,015 once invoked, about $0.0002 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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