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hermes-agent/skills/media/songsee/SKILL.md
kshitijk4poor ccfbf42844 feat: secure skill env setup on load (core #688) 
When a skill declares required_environment_variables in its YAML
frontmatter, missing env vars trigger a secure TUI prompt (identical
to the sudo password widget) when the skill is loaded. Secrets flow
directly to ~/.hermes/.env, never entering LLM context.

Key changes:
- New required_environment_variables frontmatter field for skills
- Secure TUI widget (masked input, 120s timeout)
- Gateway safety: messaging platforms show local setup guidance
- Legacy prerequisites.env_vars normalized into new format
- Remote backend handling: conservative setup_needed=True
- Env var name validation, file permissions hardened to 0o600
- Redact patterns extended for secret-related JSON fields
- 12 existing skills updated with prerequisites declarations
- ~48 new tests covering skip, timeout, gateway, remote backends
- Dynamic panel widget sizing (fixes hardcoded width from original PR)

Cherry-picked from PR #723 by kshitijk4poor, rebased onto current main
with conflict resolution.

Fixes #688

Co-authored-by: kshitijk4poor <kshitijk4poor@users.noreply.github.com>
2026-03-13 03:14:04 -07:00

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name description version author license metadata prerequisites
songsee Generate spectrograms and audio feature visualizations (mel, chroma, MFCC, tempogram, etc.) from audio files via CLI. Useful for audio analysis, music production debugging, and visual documentation. 1.0.0 community MIT
hermes
tags homepage
Audio
Visualization
Spectrogram
Music
Analysis
https://github.com/steipete/songsee
commands
songsee

songsee

Generate spectrograms and multi-panel audio feature visualizations from audio files.

Prerequisites

Requires Go:

go install github.com/steipete/songsee/cmd/songsee@latest

Optional: ffmpeg for formats beyond WAV/MP3.

Quick Start

# Basic spectrogram
songsee track.mp3

# Save to specific file
songsee track.mp3 -o spectrogram.png

# Multi-panel visualization grid
songsee track.mp3 --viz spectrogram,mel,chroma,hpss,selfsim,loudness,tempogram,mfcc,flux

# Time slice (start at 12.5s, 8s duration)
songsee track.mp3 --start 12.5 --duration 8 -o slice.jpg

# From stdin
cat track.mp3 | songsee - --format png -o out.png

Visualization Types

Use --viz with comma-separated values:

Type Description
spectrogram Standard frequency spectrogram
mel Mel-scaled spectrogram
chroma Pitch class distribution
hpss Harmonic/percussive separation
selfsim Self-similarity matrix
loudness Loudness over time
tempogram Tempo estimation
mfcc Mel-frequency cepstral coefficients
flux Spectral flux (onset detection)

Multiple --viz types render as a grid in a single image.

Common Flags

Flag Description
--viz Visualization types (comma-separated)
--style Color palette: classic, magma, inferno, viridis, gray
--width / --height Output image dimensions
--window / --hop FFT window and hop size
--min-freq / --max-freq Frequency range filter
--start / --duration Time slice of the audio
--format Output format: jpg or png
-o Output file path

Notes

  • WAV and MP3 are decoded natively; other formats require ffmpeg
  • Output images can be inspected with vision_analyze for automated audio analysis
  • Useful for comparing audio outputs, debugging synthesis, or documenting audio processing pipelines