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 autonomous-ai/autonomous-os --skill musicgit clone --depth 1 https://github.com/autonomous-ai/autonomous-osWrote 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/autonomous-ai/autonomous-os/music)<a href="https://agentmods.dev/skills/autonomous-ai/autonomous-os/music"><img src="https://agentmods.dev/badge/skills/autonomous-ai/autonomous-os/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/autonomous-ai/autonomous-os/music"><img src="https://agentmods.dev/badge/skills/autonomous-ai/autonomous-os/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 | $0.00018 | $0.01067 |
| Opus 5 | $0.00009 | $0.00534 |
| Sonnet 5 | $0.00004 | $0.00213 |
| Haiku 4.5 | $0.00002 | $0.00107 |
Grade A, and why
music scanned grade A with 1 finding 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 10d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
The Go server intercepts `[HW:/audio/play:...]` / `[HW:/audio/stop:...]` **in your reply text** and forwards to HAL. This is the ONLY way to play music — never use `exec`, `mpv`, `vlc`, `yt-dlp`, or `curl /audio/play`. How it starts
The opening of the file, as written. The whole thing — 82 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Music
Play music through the device's speaker by searching YouTube. Use this when the user asks to play, sing, or listen to music.
Workflow
- Specific song / artist → play directly.
- Vague request ("play music", "sing something") → check habit patterns first:
Ifcat /root/local/users/{name}/habit/patterns.json 2>/dev/nullmusic_patternsexists and current hour is withinpeak_hour ± 1→ usepreferred_genreto pick a song, no need to ask. Otherwise → ask: "What are you in the mood for?". The file is bootstrapped lazily by wellbeing on its first threshold nudge; do not invoke habit Flow A from here. - Reply format:
[HW:/audio/play:{"query":"Bohemian Rhapsody Queen","person":"alice"}][HW:/emotion:{"emotion":"excited","intensity":0.8}] Playing Bohemian Rhapsody! - Stop:
[HW:/audio/stop:{}] Music stopped.
API schema (/audio/play)
| Field | Required | Description |
|---|---|---|
query |
YES | YouTube search string (include artist for better match) |
person |
no | Who requested, lowercase (e.g. "alice") — omit if unknown |
Do NOT use track, artist, title, song — those return 422.
Genre → Emotion (pair with every /audio/play)
| Genre keywords | Emotion |
|---|---|
| jazz, blues, soul, funk, swing | happy |
| classical, orchestra, piano, violin | curious |
| hip hop, rap, trap, r&b, rock, metal | excited |
| anything else | happy |
Examples
| Input | Output |
|---|---|
| "Play Bohemian Rhapsody" | [HW:/audio/play:{"query":"Bohemian Rhapsody Queen","person":"alice"}][HW:/emotion:{"emotion":"excited","intensity":0.8}] Playing Bohemian Rhapsody! |
| "Sing me a song" | [HW:/emotion:{"emotion":"curious","intensity":0.6}] What kind of vibe — chill, upbeat, or something specific? |
| "Something chill" | [HW:/audio/play:{"query":"chill acoustic playlist","person":"alice"}][HW:/emotion:{"emotion":"happy","intensity":0.8}] Here's some chill vibes! |
| "Stop the music" | [HW:/audio/stop:{}] Music stopped. |
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 10d ago First seen · 82 lines · 18 tokens per session scan A c86526d5d8c0
music is a skill published in the GitHub repository autonomous-ai/autonomous-os (317 stars, last pushed today), licensed Apache-2.0. It adds 18 tokens to every session and 1,067 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 1 finding (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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