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 onfire7777/universal-ai-skills-library --skill audio-jinglegit clone --depth 1 https://github.com/onfire7777/universal-ai-skills-libraryWrote 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/onfire7777/universal-ai-skills-library/audio-jingle)<a href="https://agentmods.dev/skills/onfire7777/universal-ai-skills-library/audio-jingle"><img src="https://agentmods.dev/badge/skills/onfire7777/universal-ai-skills-library/audio-jingle/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/onfire7777/universal-ai-skills-library/audio-jingle"><img src="https://agentmods.dev/badge/skills/onfire7777/universal-ai-skills-library/audio-jingle.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 | $0.00078 | $0.01159 |
| Opus 5 | $0.00039 | $0.00580 |
| Sonnet 5 | $0.00016 | $0.00232 |
| Haiku 4.5 | $0.00008 | $0.00116 |
Grade A, and why
audio-jingle 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 8d 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.
This is a copy
94% identical to audio-jingle — 6 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 133 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Audio Jingle Skill
Three sub-modes. The active project's audioKind decides which one
runs:
audioKind |
Models we route to | Plan focus |
|---|---|---|
music |
Suno V5 (default), Udio, Lyria 2 | genre + tempo + instrumentation |
speech |
MiniMax TTS (default), Fish, ElevenLabs V3 | script + voice + pacing |
sfx |
ElevenLabs SFX (default), AudioCraft | texture + impact + duration |
Resource map
audio-jingle/
├── SKILL.md
└── example.html
Workflow
Step 0 — Read the project metadata
audioKind, audioModel, audioDuration (seconds), and (for speech)
voice. Branch by audioKind and use the values verbatim — no
clarifying form unless something is marked (unknown — ask).
Important: voice is provider-specific. For minimax-tts, --voice
must be a valid MiniMax voice_id (for example male-qn-qingse), not
a natural-language description. If you only have a prose voice brief
("warm female narrator", "neutral Mandarin"), keep that in your plan
but omit --voice so the daemon's default voice id applies, or ask the
user to choose a specific id.
Step 1 — Plan
Music
- Genre + reference artists (1-2)
- Tempo (BPM) + key
- Instrumentation (3-5 instruments max)
- Vocals: yes / no / hummed / choir
- Mood arc (intro → chorus → outro)
Speech
- Script (final, not draft — TTS runs verbatim)
- Voice target + pacing
For MiniMax this means a real
voice_id, not prose in--voice - Pronunciation hints for proper nouns / acronyms
SFX
- Texture (impact / whoosh / ambience / foley)
- Duration + envelope (sharp attack vs. gentle swell)
- Layering note (single hit vs. stacked)
State the plan in 2-3 sentences before dispatching.
Step 2 — Compose the prompt
Use the format the upstream model prefers. Bind audioDuration to the
API parameter directly; never put "make it 30 seconds" in prose.
Step 3 — Dispatch via the media contract
Use the unified dispatcher — do not call provider APIs by hand:
"$OD_NODE_BIN" "$OD_BIN" media generate \
--project "$OD_PROJECT_ID" \
--surface audio \
--audio-kind "<music|speech|sfx>" \
--model "<audioModel from metadata>" \
--duration <audioDuration seconds> \
[--voice "<provider voice id (speech only)>"] \
--output "<short-slug>-<duration>s.mp3" \
--prompt "<assembled prompt from Step 2 — for speech, the literal script>"
What ships with it
2 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.
- 8d ago First seen · 133 lines · 78 tokens per session scan A ed595b2b8039
audio-jingle is a skill published in the GitHub repository onfire7777/universal-ai-skills-library (16 stars, last pushed 1mo ago), licensed MIT. It adds 78 tokens to every session and 1,159 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. It is 94% identical to audio-jingle, differing in 6 lines, and is treated as a copy.
Other skills, from other repositories
ffmpeg
Process audio and video with the ffmpeg / ffprobe CLIs — convert, trim, extract audio, resize, change format, make GIFs, inspect media. Use for any audio/video transformation.
imagemagick
Edit and convert images with the ImageMagick magick CLI — resize, crop, convert format, compress, rotate, montage, annotate. Use for any still-image transformation.
cli-anything-photoshop
A command-line tool that controls Adobe Photoshop through Windows automation. It can work with Photoshop documents, layers, selections, text, image adjustments, and exports.
audio-production
Professional audio production for music, podcasts, and sound design. Use when working with audio recording, mixing, mastering, or sound design for any medium.
jk
Manage Jenkins controllers with jk, including jobs, runs, logs, artifacts, credentials, nodes, queues, and plugins.
ar-vr-xr
AR/VR/XR development with Unity XR, WebXR, ARKit, ARCore, Meta Quest SDK, and spatial computing. Use when building augmented reality, virtual reality, mixed reality applications, or spatial experiences.