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 social-media-skills/skills --skill ai-music-and-soundgit clone --depth 1 https://github.com/social-media-skills/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/social-media-skills/skills/ai-music-and-sound)<a href="https://agentmods.dev/skills/social-media-skills/skills/ai-music-and-sound"><img src="https://agentmods.dev/badge/skills/social-media-skills/skills/ai-music-and-sound/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/social-media-skills/skills/ai-music-and-sound"><img src="https://agentmods.dev/badge/skills/social-media-skills/skills/ai-music-and-sound.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 | $0.00224 | $0.01911 |
| Opus 5 | $0.00112 | $0.00955 |
| Sonnet 5 | $0.00045 | $0.00382 |
| Haiku 4.5 | $0.00022 | $0.00191 |
Grade A, and why
ai-music-and-sound 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 — 100 lines — stays where its author put it; the contents beside it link to each section on GitHub.
ai-music-and-sound
The music + sound-design skill for social — original/licensed audio beds + SFX under a video. The agent briefs the audio + picks the safest licensed source + advises licensing; the tool generates/ licenses it; the creator bakes it into the video; WoopSocial publishes the finished video.
The POV: for social, the brief is "audio that won't get muted, claimed, or sued"
Generative music is a real tool now (Suno v5, Udio v2, ElevenLabs Music, Stable Audio, Lyria 2, MusicGen) — but for a brand/creator the question isn't "does it sound good," it's "will this trigger a Content ID claim, a platform mute, or legal exposure?" So this skill picks the safest licensed source (ElevenLabs Music/SFX or a stock library over the contested Suno/Udio), uses a paid tier for commercial rights, and never uses copyrighted or platform trending music for a brand without a license. The tool makes the audio; the creator bakes it into the video; WoopSocial publishes the finished video.
Read these first
- brand-profile — genre/vibe fit.
- the video/asset it scores — length, cuts, beats.
The framework: SCORE
(Depth: references/the-score-framework.md.)
- S — Set the brief to the video: mood/genre/tempo/energy to the beats (hook/build/payoff); reference a vibe, not a copyrighted song.
- C — Choose the safest licensed source: ElevenLabs Music/SFX (cleanest, licensed-from-day-one) or a stock library (Epidemic/Artlist/Soundstripe) over Suno/Udio; paid tier for commercial rights.
- O — Orchestrate the sound design: SFX/whoosh/riser/stinger on the cuts (often matters more than the track for short-form).
- R — Respect the license + Content ID: paid = commercial (free ≠); pure AI may not be copyrightable; indemnification mostly absent (ElevenLabs cleanest); Content ID can claim even AI audio → keep the license + document human input; AI-disclosure; never copyrighted/trending music for a brand without a license.
- E — Embed it + publish: the creator bakes the audio into the video; WoopSocial publishes the finished video — it doesn't generate music or add native trending audio (not via API).
What ships with it
5 files 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.
- 12d ago First seen · 100 lines · 224 tokens per session scan A ae1a24a68cdd
ai-music-and-sound is a skill published in the GitHub repository social-media-skills/skills (77 stars, last pushed 8d ago), licensed MIT. It adds 224 tokens to every session and 1,911 once invoked, about $0.0011 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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