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 gabrielmoreira/agent-skills-mirror --skill musicgit clone --depth 1 https://github.com/gabrielmoreira/agent-skills-mirrorWrote 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/gabrielmoreira/agent-skills-mirror/music)<a href="https://agentmods.dev/skills/gabrielmoreira/agent-skills-mirror/music"><img src="https://agentmods.dev/badge/skills/gabrielmoreira/agent-skills-mirror/music/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/gabrielmoreira/agent-skills-mirror/music"><img src="https://agentmods.dev/badge/skills/gabrielmoreira/agent-skills-mirror/music.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00048 | $0.01083 |
| Opus 5 | $0.00024 | $0.00541 |
| Sonnet 5 | $0.00010 | $0.00217 |
| Haiku 4.5 | $0.00005 | $0.00108 |
Grade A, and why
music 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 — 75 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Music
submit_music returns a generation jobId; call track_progress until every result is saved in the media pool. Placement, trim, loop, fades, and ducking remain timeline operations.
Providers and modes
| Provider | Modes | Reference |
|---|---|---|
mureka |
instrumental, song, prompt-song, soundtrack, track |
references/mureka.md |
minimax |
t2m, cover |
references/minimax.md |
atlas |
t2m |
references/atlas.md |
sonilo |
v2m |
references/sonilo.md |
Select the named/configured vendor. Default to Mureka instrumental for ordinary BGM. Use Mureka song/prompt-song when its vocal or reference controls are wanted; use Mureka soundtrack for an image/video-driven score and track mode for generating a stem/track from a song/audio source. Use MiniMax for its text-to-music and cover models. Use Atlas Cloud for schema-backed text-to-music through its asynchronous audio API. Use Sonilo v2m when the music should be composed from the finished cut itself (a project video asset) rather than a text description.
Shared workflow
- Confirm provider, mode, and whether multiple paid variants are wanted.
- Read the provider reference and pass only that provider's parameters.
- Submit once, then call
track_progress({ target:"generation", action:"wait", jobIds:[jobId] }). - Use every returned asset when
countproduced multiple results; do not assume only the legacyresultfield exists. - Place/trim/duck on the timeline only after actual durations are known.
Examples
// Mureka instrumental (default count is deliberately 1)
submit_music({ provider: "mureka", mode: "instrumental", prompt: "Warm lo-fi piano bed under narration", count: 1 });
// Mureka lyrics song
submit_music({
provider: "mureka", mode: "song", prompt: "Bright modern pop", gender: "female", count: 2,
lyrics: "[Verse]\nCity lights open the night\n[Chorus]\nWe build the future in real time",
});
// Mureka prompt song
submit_music({ provider: "mureka", mode: "prompt-song", prompt: "A hopeful road-trip anthem", styles: ["pop", "folk"] });
// Score a project video or image
submit_music({ provider: "mureka", mode: "soundtrack", sourceAssetId: "videoAssetId", prompt: "Tense restrained documentary score" });
// Generate a stem from a Mureka song id
submit_music({ provider: "mureka", mode: "track", songId: "song-id", trackType: "Drums", prompt: "Tight punchy acoustic drums" });
// MiniMax instrumental / vocals
submit_music({ provider: "minimax", mode: "t2m", prompt: "Upbeat electronic tech intro", isInstrumental: true });
submit_music({ provider: "minimax", mode: "t2m", prompt: "Rainy night pop", lyricsOptimizer: true });
// MiniMax cover from a project audio asset
submit_music({ provider: "minimax", mode: "cover", prompt: "Warm acoustic coffee-shop cover", referenceAssetId: "audioAssetId" });
// Atlas Cloud text-to-music
submit_music({ provider: "atlas", mode: "t2m", prompt: "Cinematic ambient score with restrained piano", isInstrumental: true });
// Sonilo video-to-music from the rendered cut (prompt optional)
submit_music({ provider: "sonilo", mode: "v2m", sourceAssetId: "renderedCutAssetId" });
submit_music({ provider: "sonilo", mode: "v2m", sourceAssetId: "renderedCutAssetId", prompt: "Warm indie folk, no drums" });
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 · 75 lines · 48 tokens per session scan A 36f7f318c60b
music is a skill published in the GitHub repository gabrielmoreira/agent-skills-mirror (17 stars, last pushed yesterday), licensed MIT. It adds 48 tokens to every session and 1,083 once invoked, about $0.0002 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 2026-08-30.
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