songsee

songsee is a skill for Claude Code, Codex from spinabot/brigade. It costs 20 tokens per session (368 once invoked), scanned A, a copy of songsee, MIT.

A command-line tool guide for turning audio into spectrograms and related visual panels. A spectrogram shows how a recording's frequencies change over time.

In plain words
What is it for?
Use it to create spectrograms, mel-frequency and chroma views, loudness and tempo panels, or visual slices from WAV and MP3 files.
Why use it?
It makes audio characteristics visible, including frequency patterns and changes within selected time ranges.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to create spectrograms, mel-frequency and chroma views, loudness and tempo panels, or visual slices from WAV and MP3 files.

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Install with agentmods
npx agentmods add skills/spinabot/brigade/songsee
About the project

Brigade is an ecosystem for running crews of AI agents as a personal intelligence system, with local handling of credentials and support for exposing agent crews to the internet for testing. It is for people who want to organize and operate multiple AI agents using their own API keys or existing Claude, ChatGPT, Copilot, Claude Code, or Codex access. The catalogue skills provide workflows for using Brigade and its agent ecosystem.

spinabot/brigade · 3,498 stars · on GitHub · brigade.spinabot.com

Install

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.

Any agent
npx skills add spinabot/brigade --skill songsee
Clone the repo
git clone --depth 1 https://github.com/spinabot/brigade

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for songsee

README.md
[![agentmods](https://agentmods.dev/badge/skills/spinabot/brigade/songsee.svg)](https://agentmods.dev/skills/spinabot/brigade/songsee)
Your own site
<a href="https://agentmods.dev/skills/spinabot/brigade/songsee"><img src="https://agentmods.dev/badge/skills/spinabot/brigade/songsee.svg" alt="Measured on agentmods" height="20"></a>
Per session 20 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 368 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin 97% copy Near-identical to another mod in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00020 $0.00368
Opus 5 $0.00010 $0.00184
Sonnet 5 $0.00004 $0.00074
Haiku 4.5 $0.00002 $0.00037

Measured 9d ago against content hash 354ec278c2b7, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

songsee 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.

Origin

This is a copy

97% identical to songsee — 2 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

skills/songsee/SKILL.md · 50 lines

What it actually says

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.
Changes

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.

  1. 9d ago First seen · 50 lines · 20 tokens per session scan A 354ec278c2b7

Subscribe to this mod's changes

songsee is a skill published in the GitHub repository spinabot/brigade (3,498 stars, last pushed 2d ago), licensed MIT. It adds 20 tokens to every session and 368 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 97% identical to songsee, differing in 2 lines, and is treated as a copy.