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 calesthio/generative-media-skills --skill audio-reactive-video-compositiongit clone --depth 1 https://github.com/calesthio/generative-media-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/calesthio/generative-media-skills/audio-reactive-video-composition)<a href="https://agentmods.dev/skills/calesthio/generative-media-skills/audio-reactive-video-composition"><img src="https://agentmods.dev/badge/skills/calesthio/generative-media-skills/audio-reactive-video-composition/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/calesthio/generative-media-skills/audio-reactive-video-composition"><img src="https://agentmods.dev/badge/skills/calesthio/generative-media-skills/audio-reactive-video-composition.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 | $0.00066 | $0.02393 |
| Opus 5 | $0.00033 | $0.01196 |
| Sonnet 5 | $0.00013 | $0.00479 |
| Haiku 4.5 | $0.00007 | $0.00239 |
Grade A, and why
audio-reactive-video-composition 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 — 190 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Audio-reactive video composition
Use this skill to turn an approved audio source into an auditable cue map and then into bounded visual behavior. The central contract is:
$$ \text{source audio} \rightarrow \text{measured features} \rightarrow \text{confidence-bearing cues} \rightarrow \text{reviewed anchors} \rightarrow \text{deterministic visual timeline} $$
Do not equate a detector output with editorial meaning. An onset is not automatically a beat, cut, drop, or lyric accent; an acoustic cluster is not automatically a verse or chorus.
Evidence stance
- Documented fact: behavior stated by official analysis libraries, standards, or cited research.
- Production heuristic: a practical mapping that must be tested on the track and audience.
- Empirical observation: a measured result from the supplied audio, analyzer run, render, or playback.
Analysis algorithms, defaults, and model behavior are volatile. Facts were verified 2026-07-12. Pin the decoder, library, model, parameters, and random seeds used for each production.
Scope
This skill owns source custody, analysis policy, confidence interpretation, rhythmic/non-rhythmic routing, cue promotion, feature-to-visual mappings, rational frame alignment, accessibility, and render QA.
It does not own music-video narrative or artist branding, music generation, mastering, source separation, transcription, lyric writing, or a HyperFrames/Remotion/FFmpeg-specific implementation.
Freeze the audio contract
Record before analysis:
- source path/URI, SHA-256, acquisition source, rights basis, and restrictions;
- selected stream, codec, native sample rate, channels/layout, start timestamp, and duration;
- decoder/resampler and versions;
- canonical PCM format, channel/downmix policy, analysis sample rate, window/hop sizes, centering, and padding;
- analyzer/library/model versions, priors, thresholds, and seeds;
- trim offsets and source time origin;
- master output frame rate as a rational number;
- transcript/lyrics source, language, timing provenance, review status, and separate rights basis.
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.
- 12d ago First seen · 190 lines · 66 tokens per session scan A 3f1a6aaf4e66
audio-reactive-video-composition is a skill published in the GitHub repository calesthio/generative-media-skills (170 stars, last pushed 1mo ago), licensed MIT. It adds 66 tokens to every session and 2,393 once invoked, about $0.0003 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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