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 AgriciDaniel/claude-music --skill claude-music-exportgit clone --depth 1 https://github.com/AgriciDaniel/claude-musicWrote 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/agricidaniel/claude-music/claude-music-export)<a href="https://agentmods.dev/skills/agricidaniel/claude-music/claude-music-export"><img src="https://agentmods.dev/badge/skills/agricidaniel/claude-music/claude-music-export/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/agricidaniel/claude-music/claude-music-export"><img src="https://agentmods.dev/badge/skills/agricidaniel/claude-music/claude-music-export.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 | $0.00058 | $0.00775 |
| Opus 5.5 | $0.00023 | $0.00310 |
| Sonnet 5.5 | $0.00012 | $0.00155 |
| Haiku 4.5 | $0.00006 | $0.00077 |
Grade A, and why
claude-music-export 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 1mo 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
claude-music-export — Platform Export
Platform Presets
Spotify / Apple Music / Streaming
ffmpeg -i input.flac -af loudnorm=I=-14:TP=-1:LRA=11:print_format=summary \
-ar 44100 -sample_fmt s16 -c:a flac output_spotify.flac
YouTube
ffmpeg -i input.flac -af loudnorm=I=-14:TP=-1:LRA=11 \
-c:a libmp3lame -b:a 320k -ar 48000 output_youtube.mp3
TikTok / Instagram Reels
ffmpeg -i input.flac -af loudnorm=I=-14:TP=-1:LRA=11 \
-c:a aac -b:a 256k -ar 44100 output_tiktok.m4a
Podcast
ffmpeg -i input.flac -af loudnorm=I=-16:TP=-1:LRA=11 \
-c:a libmp3lame -b:a 192k -ar 44100 -ac 1 output_podcast.mp3
CD Quality
ffmpeg -i input.flac -ar 44100 -sample_fmt s16 -c:a pcm_s16le output_cd.wav
Archive (Lossless)
ffmpeg -i input.flac -c:a flac -compression_level 8 output_archive.flac
Web (Small file)
ffmpeg -i input.flac -c:a libopus -b:a 128k output_web.opus
Loudness Targets
| Platform | LUFS | True Peak | Notes |
|---|---|---|---|
| Spotify | -14 | -1 dBTP | Auto-normalized on ingest |
| Apple Music | -16 | -1 dBTP | Sound Check normalization |
| YouTube | -14 | -1 dBTP | Loudness normalized |
| TikTok | -14 | -1 dBTP | |
| Podcast | -16 to -18 | -1 dBTP | Mono recommended |
| CD | ~-9 to -12 | 0 dBTP | No normalization standard |
Metadata Tagging
ffmpeg -i input.flac \
-metadata title="Song Title" \
-metadata artist="Artist Name" \
-metadata album="Album Name" \
-metadata date="2026" \
-metadata genre="Pop" \
-metadata comment="Generated with ACE-Step 1.5" \
-c:a copy output_tagged.flac
Batch Export
For exporting to multiple platforms at once, run commands sequentially:
# Export for all major platforms
for PLATFORM in spotify youtube tiktok podcast; do
bash ~/.claude/skills/claude-music/scripts/music_export.sh "$PLATFORM" input.flac
done
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.
- 1mo ago First seen · 91 lines · 58 tokens per session scan A 572091d60b9e
claude-music-export is a skill published in the GitHub repository AgriciDaniel/claude-music (86 stars, last pushed 2mo ago), licensed MIT. It adds 58 tokens to every session and 775 once invoked, about $0.0002 per session on Opus 5.5. 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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