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 ssmurfgg04-gif/context-m --skill audio-jinglegit clone --depth 1 https://github.com/ssmurfgg04-gif/context-mWrote 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/ssmurfgg04-gif/context-m/audio-jingle)<a href="https://agentmods.dev/skills/ssmurfgg04-gif/context-m/audio-jingle"><img src="https://agentmods.dev/badge/skills/ssmurfgg04-gif/context-m/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/ssmurfgg04-gif/context-m/audio-jingle"><img src="https://agentmods.dev/badge/skills/ssmurfgg04-gif/context-m/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 | $0.00053 | $0.00760 |
| Opus 5 | $0.00026 | $0.00380 |
| Sonnet 5 | $0.00011 | $0.00152 |
| Haiku 4.5 | $0.00005 | $0.00076 |
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 9d 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
100% identical to audio-jingle — 0 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 — 73 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Audio Jingle Template
Use this template when the artifact is a small, focused player UI around a single piece of audio — a song drop, a podcast episode, a brand jingle demo, an artist spotlight.
Use When
- The user wants to show off one track / episode / jingle (not a full library).
- The output is a sharable mini-player page or an in-line embed mockup (artist landing, EPK, "listen now" card).
- The desired look is calm, premium, Apple-Music-leaning glassmorphism over an ambient album-art wash.
- The user is pitching a music release, a podcast hook, or a sonic-branding deliverable.
Avoid When
- The content is a long playlist, browsable library, or full music-app product (this template's queue strip is decorative, not browsable).
- The audio needs lyrics scrolling, waveform editing, or audiogram-style captioning.
- The user actually wants a video player, social card, or marketing landing.
- The release is loud / cyberpunk / underground — the template's mood is restrained and premium; replace, don't fight it.
Required Reading
Read this SKILL.md first. Do not read music-player.html by default.
Read music-player.html only when you need concrete layout rhythm of the player card, scrubber/control geometry, or the active-track equalizer animation. Extract patterns; do not copy DOM, CSS classes, color tokens, or the placeholder track metadata wholesale.
Design Strategy
Decide the surface role first:
- single-track release card (artist + title + art + play)
- podcast episode hero (episode title + show + duration)
- jingle showcase (brand mark + track + small "use cases" caption)
- artist spotlight (avatar + bio sliver + featured track)
Then pin the dominant color to the album/episode artwork — let the ambient wash do the color-bearing.
Layout Bias
Prefer:
- one square hero artwork, perceptibly large
- the player card centered with breathing room, not stretched edge-to-edge
- ambient blurred backdrop sampled from the artwork (not arbitrary gradient)
- monospaced or tabular numerals for timecodes
- a short queue strip (≤ 6 items) only if it adds context, otherwise omit
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.
- 9d ago First seen · 73 lines · 53 tokens per session scan A 4812a520f949
audio-jingle is a skill published in the GitHub repository ssmurfgg04-gif/context-m (2 stars, last pushed yesterday), licensed Apache-2.0. It adds 53 tokens to every session and 760 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to audio-jingle, differing in 0 lines, and is treated as a copy.
Other skills, from other repositories
ai-style
A Chinese-language writing guide for producing or revising reader-facing text such as product announcements, public-account articles, emails, and README files. It focuses on reducing patterns that make writing sound machine-generated.
triage
A task-routing guide that identifies goals, dependencies, and acceptance conditions before work begins. It orders work as research, calculation or execution, and writing.
coding
A coding guide for writing and running Python programs in a sandbox. It requires scripts to be small and reproducible, with their actual output or errors reported.
setup-open-index
Install and configure Open Index as the read/write context layer for a domain-specialized agent. Use when setting up a legal, marketing, customer support, sales, infrastructure, or other domain agent with Open Index over MCP.
build-personal-brain
Create, resume, validate, connect, or maintain a private cross-project memory for AI assistants. Use when a person asks to build a personal memory from local work folders and past assistant conversations, continue an interrupted memory audit, connect an existing memory to another local assistant, verify that the…
codex-memory-guard
Guard task boundaries and preserve confirmed critical project state across Codex compaction. Use when a user wants topic-switch guidance, write-through critical memory, compact HANDOFF checkpoints, PreCompact and compact-resume hooks, four-layer Markdown memory initialization, or memory workflow auditing.