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 scenario-labs/skills --skill scenario-luma-videogit clone --depth 1 https://github.com/scenario-labs/skillsWrote 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/scenario-labs/skills/scenario-luma-video)<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.
<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>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 | $0.00126 | $0.01520 |
| Opus 5 | $0.00063 | $0.00760 |
| Sonnet 5 | $0.00025 | $0.00304 |
| Haiku 4.5 | $0.00013 | $0.00152 |
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.
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.
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 · 54 lines · 126 tokens per session scan A 81e154187f7b
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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