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 3d-logo-animationgit 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/3d-logo-animation)<a href="https://agentmods.dev/skills/samuraigpt/generative-media-skills/3d-logo-animation"><img src="https://agentmods.dev/badge/skills/samuraigpt/generative-media-skills/3d-logo-animation/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/3d-logo-animation"><img src="https://agentmods.dev/badge/skills/samuraigpt/generative-media-skills/3d-logo-animation.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 58 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 58 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 | $0.00029 | $0.00712 |
| Opus 5.5 | $0.00012 | $0.00285 |
| Sonnet 5.5 | $0.00006 | $0.00142 |
| Haiku 4.5 | $0.00003 | $0.00071 |
Grade B, and why
muapi-3d-logo-animation 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 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.
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 Copies of this mod
1 near-identical copy found in the catalogue:
- muapi-3d-logo-animation — 94% identical, 13 lines differ
How it starts
The opening of the file, as written. The whole thing — 60 lines — stays where its author put it; the contents beside it link to each section on GitHub.
3D Logo Animation
Transform a 2D logo into a premium 3D version and animate it with professional cinematic effects.
Inputs
| Name | Type | Required | Default | Description |
|---|---|---|---|---|
logo_image |
image_url | yes | — | A clear 2D image of the logo to be converted to 3D. |
material_style |
text | no | glossy glass and chrome | The material style for the 3D logo (e.g., gold, matte plastic, holographic). |
Steps
Phase A — 3D Logo Transformation
If {{logo_image}} is not provided, ask the user to upload their logo.
Once the logo is available, submit the plan with ONE step to convert it to 3D:
- 3D Logo Generation —
muapi image edit(model=nano-banana-2-edit):- Reference Image:
{{logo_image}} - Prompt:
Transform this 2D logo into a premium, high-quality 3D version. The logo should have depth and be made of {{material_style}}. Smooth edges, realistic reflections, and professional studio lighting. The logo is centered on a clean, minimal, out-of-focus background. High-end graphic design aesthetic, 8k resolution. - Aspect ratio: 1:1 or 4:3
- Reference Image:
Present the 3D logo to the user for approval.
Phase B — Cinematic Logo Animation
Once the 3D logo is ready, submit the plan to animate it:
- Logo Animation —
muapi video from-image(model=veo3.1-fast-image-to-video):- Reference Image: The 3D logo from Phase A.
- Prompt:
A professional cinematic logo reveal animation. The 3D logo rotates slowly with dynamic light sweeps reflecting off its {{material_style}} surface. Subtle camera movement, particle effects in the background, high-quality motion graphics style. - Aspect ratio: 16:9 or 1:1
After generation, present the final 3D logo animation to the user.
Trigger Keywords
3d logo, logo animation, 2d to 3d logo, animated logo, cinematic logo
Notes for the Executing Agent
- This recipe is LLM-orchestrated: read each phase, gather any missing inputs from the user, then call
muapiCLI commands. Usemuapi auth configurefirst ifMUAPI_API_KEYis unset. - 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 withmuapi predict wait <request_id>. - Substitute
{{input_name}}placeholders with the user's actual inputs before issuing each call.
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 · 60 lines · 29 tokens per session scan B 82c7adf55f4e
muapi-3d-logo-animation is a skill published in the GitHub repository SamurAIGPT/Generative-Media-Skills (25 stars, last pushed 28d ago), licensed MIT. It adds 29 tokens to every session and 712 once invoked, about $0.0001 per session on Opus 5.5. 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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