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 danielrosehill/Claude-Video-Editor-Plugin --skill audio-analysisgit clone --depth 1 https://github.com/danielrosehill/Claude-Video-Editor-PluginWrote 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/danielrosehill/claude-video-editor-plugin/audio-analysis)<a href="https://agentmods.dev/skills/danielrosehill/claude-video-editor-plugin/audio-analysis"><img src="https://agentmods.dev/badge/skills/danielrosehill/claude-video-editor-plugin/audio-analysis.svg" alt="Measured on agentmods" 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 | $0.00096 | $0.01180 |
| Opus 5 | $0.00048 | $0.00590 |
| Sonnet 5 | $0.00019 | $0.00236 |
| Haiku 4.5 | $0.00010 | $0.00118 |
Grade A, and why
audio-analysis scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 7d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 108 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Audio Analysis
Pull the audio out of a video (or take a standalone audio file) and run an EBU R128 loudness pass. Output is a short markdown report with LUFS / dBTP / LRA and a recommendation against a chosen target.
This skill does not normalize. Apply normalization separately (with transcode or a future normalize-audio skill) once you've decided on a target.
Procedure
1. Inputs
| Field | Default |
|---|---|
| Source | required (video or audio) |
| Mode | extract / analyze / both (default both) |
| Target | youtube (-14 LUFS / -1 dBTP) / broadcast (-23 / -2) / podcast (-16 / -1) / streaming-spotify (-14 / -1) |
| Output dir | sibling audio/ (or project's assets/ if inside an index project) |
2. Extract
If the source is a video, pull the audio. Prefer stream-copy when the codec is sane (aac/opus/flac/mp3); otherwise re-encode to wav for analysis.
CODEC=$(ffprobe -v error -select_streams a:0 -show_entries stream=codec_name -of csv=p=0 "$SRC")
case "$CODEC" in
aac|mp3|opus|flac) EXT="$CODEC"; ARGS="-vn -acodec copy" ;;
*) EXT="wav"; ARGS="-vn -ac 2 -ar 48000 -c:a pcm_s24le" ;;
esac
mkdir -p "$OUT_DIR"
EXTRACTED="$OUT_DIR/$(basename "${SRC%.*}").$EXT"
ffmpeg -hide_banner -y -i "$SRC" $ARGS "$EXTRACTED"
3. Analyze (ebur128)
ffmpeg -hide_banner -nostats -i "$EXTRACTED" -af 'ebur128=peak=true:framelog=quiet' -f null - 2>&1 | tail -25
Parse the summary block at the end:
[Parsed_ebur128_0 @ ...] Summary:
Integrated loudness:
I: -18.4 LUFS
Threshold: -28.5 LUFS
Loudness range:
LRA: 8.1 LU
Threshold: -38.5 LUFS
LRA low: -22.2 LUFS
LRA high: -14.1 LUFS
True peak:
Peak: -1.3 dBFS
Pull I (integrated), LRA, and Peak with grep/awk.
Also probe stream metadata:
ffprobe -v error -select_streams a:0 -show_entries stream=codec_name,sample_rate,channels,bits_per_sample -of default=nw=1 "$SRC"
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.
- 7d ago First seen · 108 lines · 96 tokens per session scan A 62911f99232e
audio-analysis is a skill published in the GitHub repository danielrosehill/Claude-Video-Editor-Plugin (5 stars, last pushed 4mo ago), licensed MIT. It adds 96 tokens to every session and 1,180 once invoked, about $0.0005 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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