scenario-luma-video

scenario-luma-video is a skill for Claude Code from scenario-labs/skills. It costs 126 tokens per session (1,520 once invoked), scanned A, original, MIT.

A guide for creating or editing videos with Luma Ray models through Scenario, an AI media platform. It covers text-to-video, image-to-video, anchored start and end frames, looping, reframing, and controlled video edits.

In plain words
What is it for?
Use it to generate clips from prompts or images, restyle footage while preserving motion, change its aspect ratio, make prompt-based edits, or create loops.
Why use it?
It helps choose the correct Luma model for the requested video job and follow each model’s input requirements.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the 12.-video-model-families plugin — 10 skills shipped together

Good fit Use it to generate clips from prompts or images, restyle footage while preserving motion, change its aspect ratio, make prompt-based edits, or create loops.

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Install with agentmods
npx agentmods add skills/scenario-labs/skills/scenario-luma-video
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 scenario-labs/skills --skill scenario-luma-video
Clone the repo
git clone --depth 1 https://github.com/scenario-labs/skills

Made for: Claude Code.

Or install 12.-video-model-families, the plugin that ships this one along with the rest of its 10 skills.

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 scenario-luma-video

README.md
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Your own site
<a href="https://agentmods.dev/skills/scenario-labs/skills/scenario-luma-video"><img src="https://agentmods.dev/badge/skills/scenario-labs/skills/scenario-luma-video/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 scenario-luma-video

Your own site · 80×15
<a href="https://agentmods.dev/skills/scenario-labs/skills/scenario-luma-video"><img src="https://agentmods.dev/badge/skills/scenario-labs/skills/scenario-luma-video.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 126 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,520 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 $0.00126 $0.01520
Opus 5 $0.00063 $0.00760
Sonnet 5 $0.00025 $0.00304
Haiku 4.5 $0.00013 $0.00152

Measured 12d ago against content hash 81e154187f7b, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

scenario-luma-video 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.

skills/scenario-luma-video/SKILL.md · 54 lines

How it starts

The opening of the file, as written. The whole thing — 54 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Scenario Luma Video

Overview

Luma's video line on Scenario is four sibling models, one per mode: Ray 3.2 generates from text or frame anchors, Ray 3.2 Edit restyles footage under structural controls, Ray 3.2 Reframe outpaints to a new aspect ratio, and Modify Video makes budget prompt edits. Route by member before tuning anything; Luma's image models belong to the scenario-luma-image skill. Discover the live set with search and treat model_schema_get as the contract.

Connection and the core loop: see the scenario skill in this repo; model-agnostic video work: the scenario-video skill. If a sibling skill named here is missing from your available skills, ask the user to install it (npx skills add scenario-labs/skills --skill <name>); unattended, proceed from tool schemas and flag the gap.

Quick reference

Each mode is its own model (names from the live schemas, caps as of authoring time):

Member Inputs Behavior
Ray 3.2 prompt (+ startFrame, endFrame) text or image to video; endFrame is only valid alongside startFrame
Ray 3.2 Edit video + prompt restyles while keeping motion and timing; editStrength plus controls
Ray 3.2 Reframe video + prompt + aspectRatio fits a new ratio by outpainting, never cropping; prompt fills the canvas
Modify Video video (+ prompt, firstFrame) budget prompt edits via a mode ladder; source up to 30 seconds, 100 MB

On Ray 3.2 the options veto one another. At authoring time duration was a unit string, "5s" or "10s", never a number; "10s" refused loop, hdr, startFrame, and endFrame. hdr required 720p or 1080p from the 540p, 720p, 1080p resolution list; six aspectRatio values ran 9:16 through 21:9. Edit and Reframe share that resolution list; Modify Video has no resolution parameter. duration, resolution, and hdr each move the price (1080p ran several times 720p's cost and wait), so dry_run the option set before a batch.

Read the full file on GitHub · 54 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. 12d ago First seen · 54 lines · 126 tokens per session scan A 81e154187f7b

Subscribe to this mod's changes

scenario-luma-video is a skill published in the GitHub repository scenario-labs/skills (11 stars, last pushed yesterday), licensed MIT. It adds 126 tokens to every session and 1,520 once invoked, about $0.0006 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.

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