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 interior-designgit 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/interior-design)<a href="https://agentmods.dev/skills/samuraigpt/generative-media-skills/interior-design"><img src="https://agentmods.dev/badge/skills/samuraigpt/generative-media-skills/interior-design/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/interior-design"><img src="https://agentmods.dev/badge/skills/samuraigpt/generative-media-skills/interior-design.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 60 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 60 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 | $0.00031 | $0.00937 |
| Opus 5 | $0.00015 | $0.00468 |
| Sonnet 5 | $0.00006 | $0.00187 |
| Haiku 4.5 | $0.00003 | $0.00094 |
Grade B, and why
muapi-interior-design 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 12d 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 — 62 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Interior Design
Create professional interior design visualizations — redesign existing rooms, generate new room concepts, or visualize specific furniture styles in a space.
Inputs
| Name | Type | Required | Default | Description |
|---|---|---|---|---|
room_type |
text | yes | — | The type of room (e.g. "modern living room", "scandinavian kitchen", "luxury master bedroom", "minimalist home office"). |
design_style |
text | no | modern minimalist | The aesthetic direction (e.g. "japandi", "industrial loft", "boho chic", "mid-century modern", "art deco"). |
color_palette |
text | no | neutral tones with wood accents | Preferred colors and materials (e.g. "sage green and brass", "monochrome black and white", "warm terracotta"). |
specific_elements |
text | no | — | Particular items to include (e.g. "large floor-to-ceiling windows", "velvet green sofa", "statement pendant light"). |
room_photo |
image_url | no | — | Optional photo of an existing room to redesign or use as layout reference. |
Steps
Phase A — Room Concept / Redesign
Submit the plan with ONE or TWO steps:
-
Main Visualization — If
{{room_photo}}is provided, usemuapi image edit(model=flux-kontext-pro-i2i); otherwise usemuapi image generate(model=nano-banana-pro):- Prompt:
Professional interior design visualization of a {{room_type}}. Style: {{design_style}}. Color palette: {{color_palette}}. {{specific_elements}}. Cinematic lighting, architectural photography style, wide angle lens, 8k resolution, photorealistic textures. High-end interior design magazine quality. - If
{{room_photo}}is used, add:Maintain the structural layout and window placement of the reference room. Completely transform the furniture, decor, and wall finishes to match the new style. - Aspect ratio: 16:9 (standard for room views)
- Prompt:
-
Alternative Angle (Optional) —
muapi image generate(model=bytedance-seedream-v4.5):- Prompt:
A different perspective/closeup of the same {{room_type}} — focus on the textures and lighting of the {{specific_elements}}. {{design_style}} aesthetic, {{color_palette}}. Professional interior photography.
- Prompt:
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.
- 12d ago First seen · 62 lines · 31 tokens per session scan B 99c47f090881
muapi-interior-design is a skill published in the GitHub repository SamurAIGPT/Generative-Media-Skills (4,259 stars, last pushed 2d ago), licensed MIT. It adds 31 tokens to every session and 937 once invoked, about $0.0002 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.
Other skills, from other repositories
visual-asset-design
A guide for turning character, scene, and prop ideas into prompts for generating consistent reference images. It covers layouts, camera views, visual identity, and continuity across image variations.
drawio-diagram
A tool for creating editable Draw.io diagrams, a file format used for flowcharts, system diagrams, and model illustrations.
frontend-design
Aesthetic direction for OrkasVideoStudio HTML and motion-graphics compositions. Use before stage-compose writes composition-manifest.json artdirection and index.html to choose a subject-specific visual point of view, type, palette, layout signature, restrained motion, and anti-template checks.
infographic-creator
Create beautiful infographics based on given text content. Use when users request to create infographics.
design-system-importer
Reference-media and design-system input layer for OrkasVideoStudio. Treat reference images, videos, screenshots, brand guides, and design notes uniformly, compiling reproduce/edit/guide intent into executable spatial and temporal constraints.
visio-image-rebuilder
Rebuild or restyle editable Microsoft Visio diagrams from reference images and existing .vsdx files, then export deliverables as .vsdx, PNG, SVG, PDF, or PPTX. Use when the user asks Codex to open Visio, recreate a diagram from a PNG/JPG/screenshot/reference image, match a scientific model figure, update…