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 ikenga-hq/ikenga-pkgs --skill studio-beat-detectgit clone --depth 1 https://github.com/ikenga-hq/ikenga-pkgsWrote 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/ikenga-hq/ikenga-pkgs/studio-beat-detect)<a href="https://agentmods.dev/skills/ikenga-hq/ikenga-pkgs/studio-beat-detect"><img src="https://agentmods.dev/badge/skills/ikenga-hq/ikenga-pkgs/studio-beat-detect/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/ikenga-hq/ikenga-pkgs/studio-beat-detect"><img src="https://agentmods.dev/badge/skills/ikenga-hq/ikenga-pkgs/studio-beat-detect.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 | $0.00050 | $0.00529 |
| Opus 5 | $0.00025 | $0.00264 |
| Sonnet 5 | $0.00010 | $0.00106 |
| Haiku 4.5 | $0.00005 | $0.00053 |
Grade A, and why
studio-beat-detect 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.
What it actually says
studio-beat-detect
Populates Project.audio_analysis for the music-video archetype. The other six archetypes don't need it.
What it does
Shells python3 to run the bundled beat_detect.py over the project's audio track and writes:
{
"bpm": 128.0,
"downbeats": [0, 1875, 3750, ...], // bar starts, ms
"beats": [0, 468, 937, ...], // every beat, ms
"onsets": [12, 470, 940, ...], // transient onsets, ms
"source": { "uri": "audio/track.wav" },
"analysed_at": "2026-05-22T12:00:00Z"
}
This matches AudioAnalysisSchema exactly. The composition timeline snaps cell durations to bar/beat boundaries when this block is present (P2 consumes it; P1 just populates it).
Detector
- Primary: librosa —
librosa.beat.beat_trackfor bpm + beats,librosa.onset.onset_detectfor onsets. Downbeats are derived by grouping beats into bars (4/4 assumed; configurable via--meter). Pip-installable on Python 3.11+. - Contingency: madmom — higher downbeat accuracy, but its build pins Python <3.10 and numpy <1.20, so it is an opt-in from-source install, never a default dependency.
beat_detect.pyonly uses madmom if--detector madmomis passed and the import succeeds.
Running
python3 skills/studio-beat-detect/beat_detect.py --audio <track> --out audio_analysis.json
# or generate a 120-bpm test tone to smoke the script:
python3 skills/studio-beat-detect/beat_detect.py --self-test
If librosa is not importable, the script exits non-zero with a clear message; studio-doctor flags this case ahead of time as a warn-not-fail optional dependency.
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 · 41 lines · 50 tokens per session scan A 57569de3ae20
studio-beat-detect is a skill published in the GitHub repository ikenga-hq/ikenga-pkgs (0 stars, last pushed 2d ago), licensed Apache-2.0. It adds 50 tokens to every session and 529 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 2026-08-31.
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