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.
git 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/plugins/scenario-labs/skills/12.-video-model-families)<a href="https://agentmods.dev/plugins/scenario-labs/skills/12.-video-model-families"><img src="https://agentmods.dev/badge/plugins/scenario-labs/skills/12.-video-model-families/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/plugins/scenario-labs/skills/12.-video-model-families"><img src="https://agentmods.dev/badge/plugins/scenario-labs/skills/12.-video-model-families.svg" alt="Reviewed on agentmods" width="80" height="20"></a>Grade A, and why
12.-video-model-families 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 8d 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.
What it actually says
{
"name": "12.-video-model-families",
"description": "The top video families in depth: conditioning modes, native audio, editing and extension, and per-member caps and costs.",
"source": "./",
"strict": false,
"skills": [
"./skills/scenario-minimax-video",
"./skills/scenario-gemini-omni",
"./skills/scenario-grok-imagine-video",
"./skills/scenario-veo",
"./skills/scenario-seedance",
"./skills/scenario-kling",
"./skills/scenario-vidu",
"./skills/scenario-wan",
"./skills/scenario-runway",
"./skills/scenario-luma-video"
]
}What it installs
The manifest is a name and a version. 10 skills travel with it, and installing the plugin installs all of them — 1,254 tokens a session between them. Each is measured on its own page, and each can be installed alone.
- Skill scenario-gemini-omni A 113 tokens
- Skill scenario-grok-imagine-video A 124 tokens
- Skill scenario-kling A 130 tokens
- Skill scenario-luma-video A 126 tokens
- Skill scenario-minimax-video A 138 tokens
- Skill scenario-seedance A 114 tokens
- Skill scenario-wan A 125 tokens
- Skill scenario-runway A 121 tokens
- Skill scenario-veo A 141 tokens
- Skill scenario-vidu A 122 tokens
What ships with it
1 file beside marketplace.json#12.-video-model-families 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.
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.
- 8d ago First seen · 18 lines scan A cca9cfbbd94a
12.-video-model-families is a plugin published in the GitHub repository scenario-labs/skills (11 stars, last pushed today), licensed MIT. Its token cost is not measured: this kind of file is read by the harness, not the model. 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 2026-09-03.
Other plugins, from other repositories
run-workflow
Discover, compose, run, publish, and save Adobe Firefly workflows through the run-workflow MCP server, including predefined featured workflows for common marketing and production use cases.
anycap
Multimodal capabilities for AI agents through the AnyCap CLI.
fw-app-dev
Expert-level skill for building, debugging, reviewing, and migrating Freshworks Platform 3.0 custom apps.
fw-setup
Install, upgrade, downgrade, and uninstall the Freshworks Development Kit (FDK) with Node.js via nvm (macOS, Windows, Linux).
storytelling-web
Create stunning, animation-rich exploratory visual web pages from text content.
palas-basic
AI skills for your business and projects: basic common tools that can be re-used in business or anything. Includes markdown linting and notebook watermark removal.