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
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 SamurAIGPT/Generative-Media-Skills --skill storyboard-to-cooking-videogit clone --depth 1 https://github.com/SamurAIGPT/Generative-Media-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/samuraigpt/generative-media-skills/storyboard-to-cooking-video)<a href="https://agentmods.dev/skills/samuraigpt/generative-media-skills/storyboard-to-cooking-video"><img src="https://agentmods.dev/badge/skills/samuraigpt/generative-media-skills/storyboard-to-cooking-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/samuraigpt/generative-media-skills/storyboard-to-cooking-video"><img src="https://agentmods.dev/badge/skills/samuraigpt/generative-media-skills/storyboard-to-cooking-video.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 2 findings, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Data Exfiltration · line 141 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
- medium Data Exfiltration · line 141 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
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 | $0.00064 | $0.02042 |
| Opus 5 | $0.00032 | $0.01021 |
| Sonnet 5 | $0.00013 | $0.00408 |
| Haiku 4.5 | $0.00006 | $0.00204 |
Grade B, and why
muapi-storyboard-to-cooking-video scanned grade B with 2 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.
Sends data to an external URLmediumData exfiltration
A POST to an outside endpoint may be telemetry or may be exfiltration; either way the mod talks to somewhere, and you should know where.
- For model IDs without a CLI alias yet, fall back to the raw endpoint via `curl -X POST https://api.muapi.ai/api/v1/<endpoint> -H "x-api-key: $MUAPI_API_KEY" -H 'content-type: application/json' -d '{...}'` and poll with Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
- For model IDs without a CLI alias yet, fall back to the raw endpoint via `curl -X POST https://api.muapi.ai/api/v1/<endpoint> -H "x-api-key: $MUAPI_API_KEY" -H 'content-type: application/json' -d '{...}'` and poll with How it starts
The opening of the file, as written. The whole thing — 144 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Storyboard to Cooking Video
Turn a single photo of a person into a polished 15-second cinematic cooking tutorial. The skill first generates a high-end production reference sheet — character look, kitchen environment, and a 9-panel action board — then drives a continuous reference-to-video render that keeps the subject's face, outfit, and kitchen consistent across every frame.
Inputs
| Name | Type | Required | Default | Description |
|---|---|---|---|---|
person_image |
image_url | yes | — | URL of the person photo. Used as identity reference in BOTH the reference sheet and the final video. |
dish |
text | no | fresh pasta | The cooking subject (e.g. "fresh pasta", "sushi rolls", "wood-fired pizza", "matcha latte"). Drives the 9-step action board. |
kitchen_style |
text | no | warm rustic-modern Italian | The kitchen aesthetic (e.g. "warm rustic-modern Italian", "minimalist Tokyo", "bright Scandinavian", "moody industrial"). |
outfit |
text | no | white t-shirt, olive green apron, dark trousers | What the person wears throughout the video. |
duration_seconds |
int | no | 15 | Final video duration. Use 15 for the full 9-step arc; 10 collapses to ~6 beats. |
aspect_ratio |
text | no | 16:9 | Output aspect ratio. Use 9:16 for vertical/Reels. |
resolution |
text | no | 720p | Video resolution. Options: 480p, 720p. |
Steps
Submit the plan with TWO sequential steps. Step 2 depends on the output of Step 1.
Step 1 — Reference Sheet (Composite Storyboard)
Generate the composite "production reference board" image. This is a single image, NOT a video frame — it bundles character sheet + location reference + 9-panel action board.
Endpoint: gpt-image-v2-edit
CLI:
muapi image edit \
--model gpt-image-v2-edit \
--image "{{person_image}}" \
--image-size "3840x2160" \
--quality auto \
--background auto \
--moderation low \
--output-format png \
--prompt "Create one single composite reference sheet for a {{duration_seconds}}-second realistic {{dish}}-making tutorial video. The image should be a clean, high-end production reference board, not a poster with heavy text. Format: {{aspect_ratio}} wide reference sheet, elegant white margins, clean grid layout, realistic cinematic photography style. Concept: {{dish}} tutorial in a {{kitchen_style}} kitchen.
Top row: motion / choreography guide with 9 numbered cinematic action panels showing the {{dish}} process step-by-step from raw ingredients to final plated dish.
Middle-left: realistic character reference sheet of the uploaded person — preserve their exact face, hair color, hair texture, eye color, skin tone, and all facial features with 100% accuracy. Show the same person in: face close-up, full-body front view, side/action working pose, and back view. Dress them in {{outfit}}. Keep them grounded, approachable, skilled, and cinematic.
Middle-right / background: location reference sheet of an elegant {{kitchen_style}} kitchen with tactile surfaces, natural daylight from a large window, hanging cookware, herbs, and premium cooking atmosphere appropriate to the cuisine.
Style: realistic, cinematic, warm natural light, shallow depth of field, tactile food photography, premium cooking show aesthetic, rich surface textures.
Bottom strip: simple visual icons only for {{duration_seconds}} seconds, {{aspect_ratio}}, realistic, cinematic, tasty, natural camera. Minimal text, no dense paragraphs. Let the visuals do the heavy lifting."
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 · 144 lines · 64 tokens per session scan B 03f31cbdb1d7
muapi-storyboard-to-cooking-video is a skill published in the GitHub repository SamurAIGPT/Generative-Media-Skills (4,263 stars, last pushed 3d ago), licensed MIT. It adds 64 tokens to every session and 2,042 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it B with 2 findings (sends data to an external url, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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