Generative-Media-Skills is a toolkit that lets AI agents generate, edit, and display images, videos, and audio through the muapi command-line interface. It is for users of Claude Code, Cursor, Gemini CLI, and OpenCode who need multimodal media-generation workflows. The catalogue entries are the skills that expose these media capabilities to coding agents.
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.
git clone --depth 1 https://github.com/SamurAIGPT/Generative-Media-Skillsnpx agentmods add skills/samuraigpt/generative-media-skills/muapi-youtube-shortsWrote 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/samuraigpt/generative-media-skills/muapi-youtube-shorts)<a href="https://agentmods.dev/skills/samuraigpt/generative-media-skills/muapi-youtube-shorts"><img src="https://agentmods.dev/badge/skills/samuraigpt/generative-media-skills/muapi-youtube-shorts/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/samuraigpt/generative-media-skills/muapi-youtube-shorts"><img src="https://agentmods.dev/badge/skills/samuraigpt/generative-media-skills/muapi-youtube-shorts.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket warn
- Snyk warn
- NVIDIA SkillSpector pass
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 | $0.00085 | $0.01605 |
| Opus 5 | $0.00043 | $0.00803 |
| Sonnet 5 | $0.00017 | $0.00321 |
| Haiku 4.5 | $0.00009 | $0.00161 |
Grade A, and why
muapi-youtube-shorts 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 13d 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- muapi-youtube-shorts — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 174 lines — stays where its author put it; the contents beside it link to each section on GitHub.
YouTube Shorts Generator
Long video → ranked vertical short clips, tuned for short-form social.
This skill is a platform-aware preset over the AI Clipping primitive. It picks the right aspect ratio and clip count for the target platform and delegates highlight extraction, dedupe, and face-tracked auto-crop to muapi.ai's managed /ai-clipping endpoint.
Reference implementation: https://github.com/SamurAIGPT/AI-Youtube-Shorts-Generator Underlying API: https://muapi.ai/playground/ai-clipping
When to Use This vs. AI Clipping
| Use this skill when… | Use AI Clipping directly when… |
|---|---|
| Target is YouTube Shorts / TikTok / Reels | You want full control over aspect / count |
| You want platform-tuned defaults | You want raw timestamps (--coords-only) |
You'd rather pass --platform tiktok than think about ratios |
You're integrating into a custom renderer |
Agent Execution Protocol
Step 1 — Collect Inputs
| Input | Default | Notes |
|---|---|---|
--source |
— | YouTube URL, hosted mp4 URL, or local file |
--platform |
shorts |
shorts | tiktok | reels | feed (sets ratio + count defaults) |
--num-clips |
platform default | Override clip count |
--aspect-ratio |
platform default | Override aspect ratio |
If the user gave only a URL, run with platform defaults — don't block.
Step 2 — Verify Prerequisites
muapi-cliinstalled and authed (muapi auth configure)MUAPI_API_KEYavailable
That's it. Transcription, highlight ranking, dedupe, and cropping all run server-side — no ffmpeg, no Python, no Whisper, no LLM keys needed locally.
Step 3 — Run the Pipeline
bash library/social/youtube-shorts/scripts/run-youtube-shorts.sh \
--source "<YOUTUBE_URL>" \
--platform shorts \
--num-clips 5 \
--view
The script:
- Resolves the source (uploads local files to muapi CDN if needed).
- Picks platform defaults if
--aspect-ratio/--num-clipsaren't passed. - Calls
muapi edit clipping(the/ai-clippingendpoint) with the chosen params. - Polls until done, prints a ranked summary, optionally downloads / opens clips.
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.
- 13d ago First seen · 174 lines · 85 tokens per session scan A 4d8c374199c9
muapi-youtube-shorts is a skill published in the GitHub repository SamurAIGPT/Generative-Media-Skills (4,263 stars, last pushed 3d ago), licensed MIT. It adds 85 tokens to every session and 1,605 once invoked, about $0.0004 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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