Scenario Agent Skills is a collection of instructions that teaches AI coding agents to create images, video, audio, textures, skyboxes, and 3D assets through the Scenario MCP server, an interface to Scenario’s generation tools and custom-trained models. It serves game, entertainment, marketing, and other creative work, and also includes workflows for digital content creation software and game engines. The catalogue entries are these skills, along with plugins, commands, agents, instructions, settings, and hooks for using Scenario or driving supported creative applications.
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/14.-audio-model-families)<a href="https://agentmods.dev/plugins/scenario-labs/skills/14.-audio-model-families"><img src="https://agentmods.dev/badge/plugins/scenario-labs/skills/14.-audio-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/14.-audio-model-families"><img src="https://agentmods.dev/badge/plugins/scenario-labs/skills/14.-audio-model-families.svg" alt="Reviewed on agentmods" width="80" height="20"></a>Grade A, and why
14.-audio-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 1mo 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.
This is a copy
91% identical to 13.-audio-model-families — 2 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
What it actually says
{
"name": "14.-audio-model-families",
"description": "The top audio families in depth: music, covers and stems, sound effects, speech, dubbing, and video scoring.",
"source": "./",
"strict": false,
"skills": [
"./skills/scenario-minimax-music",
"./skills/scenario-elevenlabs",
"./skills/scenario-ace-step",
"./skills/scenario-sonilo"
]
}What it installs
The manifest is a name and a version. 4 skills travel with it, and installing the plugin installs all of them — 459 tokens a session between them. Each is measured on its own page, and each can be installed alone.
What ships with it
1 file beside marketplace.json#14.-audio-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.
- 1mo ago First seen · 12 lines scan A 72d966f8be5d
14.-audio-model-families is a plugin published in the GitHub repository scenario-labs/skills (1,034 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. It is 91% identical to 13.-audio-model-families, differing in 2 lines, and is treated as a copy.
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