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snazar-faberlens

Songsee Hardened

by Faberlens · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ Security Clean
83
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1
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Install in OpenClaw
/install songsee-hardened
Description
Generate spectrograms and feature-panel visualizations from audio with the songsee CLI.
Usage Guidance
This skill appears coherent and limited to running the songsee CLI. Before installing: (1) verify the brew tap/source (steipete/tap) is the official maintainer you trust, since third‑party Homebrew formulas can execute install scripts; (2) confirm you want your agent to be allowed to invoke the skill autonomously (this is the platform default); (3) follow the embedded guardrails — do not pipe audio or generated images to network tools, avoid manual ffmpeg commands (let songsee handle conversion), and require explicit confirmation before processing files that look sensitive or very large; (4) ensure ffmpeg availability only if you need to decode non‑native formats locally. If you want extra assurance, inspect the upstream GitHub repo/formula and test the brew install in a controlled environment before enabling the skill broadly.
Capability Analysis
Type: OpenClaw Skill Name: songsee-hardened Version: 1.0.0 The skill provides audio visualization capabilities using the songsee CLI tool. It includes extensive defensive instructions (guardrails) in SKILL.md and SAFETY.md designed to prevent the AI agent from exfiltrating data, misusing ffmpeg, or processing sensitive audio files without user confirmation. These instructions are clearly intended to harden the agent against potential prompt-injection attacks and misuse, and no malicious logic or suspicious indicators were found.
Capability Assessment
Purpose & Capability
Name/description: generate spectrograms with songsee. Declared requirement is the songsee binary and the install uses a brew formula that provides that binary — everything requested is consistent with the stated purpose and nothing unrelated (cloud creds, extra binaries, or config paths) is required.
Instruction Scope
SKILL.md only instructs the agent to run songsee CLI commands and includes explicit security guardrails (no piping to network commands, avoid manual ffmpeg invocation, confirm on sensitive files or extreme parameters). It does not instruct reading unrelated files, using unrelated env vars, or sending data to external endpoints.
Install Mechanism
Install uses a Homebrew formula (steipete/tap/songsee) which is a standard low-risk mechanism; however, third-party brew taps and formulas should be verified (formula maintainer and repo) because install-time scripts can run during installation.
Credentials
The skill requests no environment variables, no credentials, and no config paths, which is proportional for a CLI wrapper that only needs the songsee binary.
Persistence & Privilege
always:false and no persistent configuration or cross-skill modifications are requested. The skill can be invoked by the agent (normal), but it does not request elevated or persistent privileges.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install songsee-hardened
  3. After installation, invoke the skill by name or use /songsee-hardened
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
songsee-hardened 1.0.0 - Initial release: generate spectrograms and feature-panel visualizations from audio files using the songsee CLI. - Supports processing of WAV/MP3 natively; other formats via ffmpeg if available. - Includes flexible visualization options, time slicing, and customizable output settings. - Stdin input supported for audio streams. - Strengthened with security guardrails to keep visualizations and audio local, limit resource consumption, and safeguard sensitive audio content.
Metadata
Slug songsee-hardened
Version 1.0.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is Songsee Hardened?

Generate spectrograms and feature-panel visualizations from audio with the songsee CLI. It is an AI Agent Skill for Claude Code / OpenClaw, with 83 downloads so far.

How do I install Songsee Hardened?

Run "/install songsee-hardened" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Songsee Hardened free?

Yes, Songsee Hardened is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Songsee Hardened support?

Songsee Hardened is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Songsee Hardened?

It is built and maintained by Faberlens (@snazar-faberlens); the current version is v1.0.0.

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