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Songsee

Checked
openclaw·v2026.3.2·other·MIT

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

Repository

Install on your platform

Showing OpenClaw.

  1. 1

    Run this in your terminal

    terminal
    $ openclaw skills install songsee

What we know about this skill

Publisher

openclaw

Taken from the source listing. We haven't verified who controls this account.

Install target

Pinned to 7b5e64ef

Installs fetch a stored snapshot of that commit, so the code can't change after the fact.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned openclaw/openclaw at f12a8dee23.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
f12a8dee23
Manifest
skills/songsee/SKILL.md
Scanned
1 file, 50 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

This skill, part of the OpenClaw personal AI assistant, allows you to interact with and control the assistant across various messaging platforms like WhatsApp, Telegram, Slack, and Discord. It offers a local, fast, and always-on experience for single users. The core functionality revolves around providing an assistant accessible through your preferred communication channels and enabling a live, controllable Canvas interface.

When to use it

  • Cross-platform communication: Manage tasks and receive information from your AI assistant regardless of the messaging app you're using (e.g., Slack at work, WhatsApp for personal).
  • Local processing preference: When you prioritize privacy and speed by wanting an AI assistant that runs on your own devices.
  • Canvas interaction: To control and interact with a live Canvas interface provided by the OpenClaw assistant.
  • Personalized assistance: For users seeking a dedicated, single-user AI assistant tailored to their needs.

Key capabilities

  • Cross-platform messaging support (WhatsApp, Telegram, Slack, Discord, etc.)
  • Local execution for privacy and performance
  • Live Canvas interface control
  • Single-user focus

Example prompts

  • "OpenClaw, remind me to call John at 2 PM."
  • "Show me the latest news headlines on your Canvas."
  • "OpenClaw, what's the weather like today?"
  • “Can you summarize this article for me?”

Tips & gotchas

  • The preferred setup involves running openclaw onboard in your terminal to guide initial configuration.
  • This skill is part of a larger OpenClaw system; ensure the core assistant software is properly installed and running before attempting to use its features.