audio-analysis
Extract audio from a video (or analyze a standalone audio file) and report loudness — integrated LUFS, true peak (dBTP), loudness range — against a target…
Skill by danielrosehill
Chalk Labs
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Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/danielrosehill-audio-analysis
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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About
Use cases: documents
Reviews
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Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/audio-analysis
Tools it pre-approves 13
From allowed-tools in SKILL.md: the agent may use these without asking you each time.
Bash(ffmpeg*),Bash(ffprobeBash(testBash(mkdirBash(lsBash(basenameBash(dirnameBash(grepBash(awkBash(sedRead,
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What's inside
- Skill name
audio-analysis- Description
- Extract audio from a video (or analyze a standalone audio file) and report loudness — integrated LUFS, true peak (dBTP), loudness range — against a target like YouTube (-14 LUFS) or broadcast (-23 LUFS). Use when the user says "check loudness", "is this normalized", "extract the audio", "audio analysis", or "what LUFS is this". Read-only on the source — does not normalize.
- License
- MIT
- Allowed tools
- Bash(ffmpeg, *),, Bash(ffprobe, *),, Bash(test, *),, Bash(mkdir, *),, Bash(ls, *),, Bash(basename, *),, Bash(dirname, *),, Bash(grep, *),, Bash(awk, *),, Bash(sed, *),, Read,, Write
- Instructions
- 102 lines in SKILL.md · view on GitHub
Before installing
- Pre-approves some shell commands
Files (1)
- SKILL.md
SKILL.md (first lines)
# 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.
```bash
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)
```bash
ffmpeg -hide_banner -nostats -i "$EXTRACTED" -af 'ebur128=peak=true:framelog=quiet' -f null - 2>&1 | tail -25
```
Parse the summary block at the end:
```
[Parsed_ebur128_0 @ ...] Summary:
Integrated loudness:
I: -18.4 LUFS
Threshold: -28.5 LUFS
Loudness range:
LRA: 8.1 LU
Threshold: -38.5 LUFS
LRA low: -22.2 LUFS
LRA high: -14.1 LUFS
True peak:
Peak: -1.3 dBFS
```
Pull I (integrated), LRA, and Peak with `grep`/`awk`.
Also probe stream metadata:
```bash
ffprobe -v error -select_streams a:0 -show_entries stream=codec_name,sample_rate,channels,bits_per_sample -of default=nw=1 "$SRC"
```
### 4. Compare to target
| Target | Integrated | True Peak |
|--------|-----------:|----------:|
| YouTube | -14 LUFS | -1 dBTP |
| Spotify | -14 LUFS | -1 dBTP |
| Apple Music | -16 LUFS | -1 dBTP |
| Podcast | -16 LUFS | -1 dBTP |
| Broadcast (EBU R128) | -23 LUFS | -2 dBTP |
Compute deltas (`measured_I - target_I`).
### 5. Write the report
`<OUT_DIR>/<basename>.loudness.md`:
```markdown
# Loudness report — <basename>
- Source: `<absolute path>`
- Stream: aac, 48 kHz, 2 ch
- Target: YouTube (-14 LUFS / -1 dBTP)
| Metric | Measured | Target | Delta |
|--------|---------:|-------:|------:|
| Integrated | -18.4 LUFS | -14 LUFS | **-4.4 LU** (too quiet) |
| True peak | -1.3 dBTP | -1 dBTP | -0.3 dB (ok) |
| LRA | 8.1 LU | — | — |
**Recommendation:** raise integrated by ~4.4 LU. Use ffmpeg `loudnorm` (two-pass) or apply gain when re-encoding.
```
### 6. Print summary
Show the table inline so the user doesn't have to open the file. Offer:
- Run `transcode` with a `loudnorm` step.
- Try a different target (re-run analysis with a different reference — no re-extraction needed).From danielrosehill/Claude-Video-Editor-Plugin, MIT.
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Extract one or more time-range segments from a video.
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Signals
- Stars
- 6
- Forks
- 0
- Open issues
- 0
- Last commit (this folder)
- Apr 30, 2026 (6 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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audio-analysis skill. Agent Mart. https://agentmart.dev/skills/danielrosehill-audio-analysis (last updated 2026-10-24)