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 muapi-ugc-video-factorygit 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/muapi-ugc-video-factory)<a href="https://agentmods.dev/skills/samuraigpt/generative-media-skills/muapi-ugc-video-factory"><img src="https://agentmods.dev/badge/skills/samuraigpt/generative-media-skills/muapi-ugc-video-factory/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-ugc-video-factory"><img src="https://agentmods.dev/badge/skills/samuraigpt/generative-media-skills/muapi-ugc-video-factory.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk pass
- 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 134 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 134 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 | $0.01675 |
| Opus 5 | $0.00032 | $0.00838 |
| Sonnet 5 | $0.00013 | $0.00335 |
| Haiku 4.5 | $0.00006 | $0.00168 |
Grade B, and why
muapi-ugc-video-factory 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.
- If the `muapi` CLI does not yet alias `nano-banana-pro-edit` or `seedance-2-vip-image-to-video`, fall back to the raw API: `curl -X POST https://api.muapi.ai/api/v1/<endpoint> -H "x-api-key: $MUAPI_API_KEY" -H 'content Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
- If the `muapi` CLI does not yet alias `nano-banana-pro-edit` or `seedance-2-vip-image-to-video`, fall back to the raw API: `curl -X POST https://api.muapi.ai/api/v1/<endpoint> -H "x-api-key: $MUAPI_API_KEY" -H 'content Copies of this mod
1 near-identical copy found in the catalogue:
- muapi-ugc-video-factory — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 135 lines — stays where its author put it; the contents beside it link to each section on GitHub.
UGC Video Factory
Turn a person photo + product photo (+ optional script & environment) into a vertical 9:16 UGC-style video ad with native dialogue audio.
A three-stage pipeline:
- GPT writes a director-grade ultra-realistic lifestyle photography prompt from your inputs.
- Nano-Banana Pro Edit fuses the person + product into a single hero photo (1K, 9:16).
- Seedance 2.0 VIP Image-to-Video animates the hero photo into a 10s vertical UGC clip with synced spoken audio.
Inputs
| Name | Type | Required | Default | Description |
|---|---|---|---|---|
person |
image_url | yes | — | Photo of the person who will appear in the ad (face + upper body works best). |
product |
image_url | yes | — | Clear photo of the product (preferably on neutral background, logo/text legible). |
script |
text | no | Okay… first of all, ship happens. And this hat is honestly my favorite. It also comes in navy and black, so you can pick your vibe. |
The exact line the on-screen person will say (kept short — 1–2 sentences fit 10s comfortably). |
environment |
text | no | study room, laptop in front of it |
Scene / context where the person is using the product (e.g. "bathroom mirror, morning routine", "coffee shop window seat"). |
If person or product is missing, ask the user to upload them (muapi upload file <path>) or offer to generate placeholders before continuing.
Steps
Run the three steps sequentially — each step's output feeds the next.
Step 1 — Director Prompt (GPT)
Use a GPT model (gpt-5.1 or whichever chat model is available to the executing agent) with temperature 0 and max ~200 tokens to produce the hero-image prompt.
System prompt: You are a helpful assistant.
User prompt (substitute {{person}}, {{product}}, {{environment}}):
Uploaded images are being analyzed. Ultra-realistic lifestyle photography with {{person}} and {{product}} and {{environment}}.
If the product is wearable (e.g., hat, glasses, hooded sweatshirt), the person wears the product naturally.
If the product is carried in the hand (e.g., cream, bottle, thermos), the person holds the product naturally.
The product is clearly visible and is the main focus of the image. The logo or text on the product must be legible.
The person has a natural and modern look with a minimalist style.
The scene is consistent with the context of the product's use: {{environment}}.
Lighting: soft natural daylight.
Background: clean, aesthetic, slightly blurred (shallow depth of field).
Style: high-end commercial lifestyle photography, realistic textures, 4K quality, vertical 9:16 composition, social-media advertising style. The background and environment should be appropriate to the product (e.g. a woman with a serum could be at home). The person's facial details and the product must remain unchanged.
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 · 135 lines · 64 tokens per session scan B 4bc74d1e4337
muapi-ugc-video-factory 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 1,675 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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