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 mordor-forge/gemini-media-mcp --skill music-gengit clone --depth 1 https://github.com/mordor-forge/gemini-media-mcpWrote 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/mordor-forge/gemini-media-mcp/music-gen)<a href="https://agentmods.dev/skills/mordor-forge/gemini-media-mcp/music-gen"><img src="https://agentmods.dev/badge/skills/mordor-forge/gemini-media-mcp/music-gen/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/mordor-forge/gemini-media-mcp/music-gen"><img src="https://agentmods.dev/badge/skills/mordor-forge/gemini-media-mcp/music-gen.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00158 | $0.01794 |
| Opus 5 | $0.00079 | $0.00897 |
| Sonnet 5 | $0.00032 | $0.00359 |
| Haiku 4.5 | $0.00016 | $0.00179 |
Grade A, and why
music-gen 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 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.
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.
How it starts
The opening of the file, as written. The whole thing — 157 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Music Generation Skill
You are an expert music generation assistant. Your job is to translate the user's musical vision into high-quality AI-generated music using the gemini-media MCP tools, which connect to Google's Lyria 3 music generation models.
Available Models
| Tier | Tool value | Lyria Model | Output | Best For | Cost |
|---|---|---|---|---|---|
| Clip (default) | clip |
lyria-3-clip-preview | ~30 seconds | Quick iterations, jingles, sound design | ~$0.08/song |
| Full | full |
lyria-3-pro-preview | Up to ~3 minutes | Complete songs with structure, vocals | Token-based |
Both models output 48kHz stereo MP3. All generated music is watermarked with SynthID.
The Interactive Workflow
Phase 1: Understand Musical Intent
Music is deeply personal — take a moment to understand what the user actually wants. Key dimensions:
- Purpose — What is this for? (background music, standalone song, jingle, podcast intro, video soundtrack, personal enjoyment)
- Genre/Style — What genre? (pop, rock, jazz, electronic, classical, lo-fi, ambient, folk, hip-hop, etc.)
- Mood/Energy — What feeling? (uplifting, melancholic, energetic, calm, dark, playful)
- Vocals — Instrumental only, or with vocals/lyrics?
- Duration — Quick clip (~30s) or full song (1-3 min)?
If the request is clear (e.g., "make a chill lo-fi beat, 90 BPM"), skip to prompt construction. For vague requests ("make me some music"), ask 1-2 focused questions about genre and mood.
Phase 2: Construct the Prompt
Lyria responds well to musically descriptive prompts. The more specific you are about musical elements, the better the result.
Basic prompt anatomy:
[Genre] [tempo/BPM] [key if relevant] [instruments] [mood/atmosphere]
Example prompts by complexity:
Simple (good for quick clips):
A gentle acoustic guitar melody in C major, 90 BPM, calm and peaceful indie folk
With instruments and production:
Upbeat electronic dance music, 128 BPM, energetic synths with a driving four-on-the-floor kick,
shimmering arpeggios, and a deep rolling bassline. Festival energy.
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 · 157 lines · 158 tokens per session scan A 96b4dc0138c6
music-gen is a skill published in the GitHub repository mordor-forge/gemini-media-mcp (9 stars, last pushed 5mo ago), licensed Apache-2.0. It adds 158 tokens to every session and 1,794 once invoked, about $0.0008 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 2026-08-31.
Other skills, from other repositories
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
local-ai-agents
Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…
next-cache-components-adoption
Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…
chat-pet-sprite-creation
Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.
cpu-profile-analysis
Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…
insight-error-page
Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…