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songsee — measured AI agent skill | DecimalAI

understudy-ai/songsee

NewSkillScoreMaintained

Generate spectrograms and feature-panel visualizations from audio with the songsee CLI.

scienceby understudy-ai

Links this skill to your agents and keeps it current with the author’s updates.

Automatic

Coding pack

1 · One-time — install the CLI (docs ↗)

pip install decimalai

2 · Get the skill — writes .claude/skills/understudy-ai-songsee/SKILL.md

decimalai skills pull understudy-ai-songsee --out .claude/skills/

No CLI? Get the same file — curl · raw file

curl -fsSL --create-dirs -o .claude/skills/understudy-ai-songsee/SKILL.md https://app.decimal.ai/s/understudy-ai-songsee/SKILL.md

Raw file: /s/understudy-ai-songsee/SKILL.md ↗ · machine-readable summary at /s/understudy-ai-songsee.json ↗

In productionGlobal

how this skill behaves on real traffic · last 30 days

No production data for this skill yet — usage numbers appear here once agents start running it.

Anonymized aggregate across every org using this skill — proof from real production use, not a demo.

Does this skill help? · Benchmark: with vs. withoutsign in to run this on your agents

22 test cases from the publisher’s eval.yaml · each run twice on gemini-3.6-flash — with the skill injected, then without · last run 3h ago

Yes — +86% lift-69% tokens0% turns100% of whole cases pass with skill (22/22)

Test case	Without → With	Effect	Δ tokens	Δ turns
case-01	✗→✓	▲ Improved	-75%	0%
case-02	✗→✓	▲ Improved	-68%	0%
case-03	✗→✓	▲ Improved	-49%	0%
case-04	✗→✓	▲ Improved	-56%	0%
case-05	✗→✓	▲ Improved	-86%	0%

Showing 5 of 22 cases

SkillSafety

✓ 3 of 3 passed

Code scan15 of 15 checks clean

0 critical · 0 warning · 0 info — scanner v4 — 8/3/2026

live_secretremote_code_executionreverse_shelldata_exfiltrationssrf_metadataagent_snoopinganti_refusaldestructive_commandsobfuscated_unicodeunicode_homoglyphopaque_blobsuspicious_urltool_overreachtrigger_abuseprompt_injection_phrasing

IntentSafe

LLM judge · does the skill do what it claims

ContentClean

LLM judge · policy & harmful-content review

Source

Imported

understudy-ai / understudy

skills/songsee/SKILL.md

View on GitHub ↗

License MITImported 8/3/2026Version v1

Skill contents

SKILL.md

songsee

Generate spectrograms + feature panels from audio.

Quick start

Spectrogram: songsee track.mp3
Multi-panel: songsee track.mp3 --viz spectrogram,mel,chroma,hpss,selfsim,loudness,tempogram,mfcc,flux
Time slice: songsee track.mp3 --start 12.5 --duration 8 -o slice.jpg
Stdin: cat track.mp3 | songsee - --format png -o out.png

Common flags

--viz list (repeatable or comma-separated)
--style palette (classic, magma, inferno, viridis, gray)
--width / --height output size
--window / --hop FFT settings
--min-freq / --max-freq frequency range
--start / --duration time slice
--format jpg|png

Notes

WAV/MP3 decode native; other formats use ffmpeg if available.
Multiple --viz renders a grid.

Want to see if understudy-ai/songsee would activate on your phrasing? Try it before you install — no LLM call, no signup.

Other measured skills in the registry, with their headline benchmark lift.