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Alphaear Logic Visualizer

Listed
rkiding·vlatest·video-media·Apache-2.0

Alphaear Logic Visualizer displays complex audio data as intuitive visuals, aiding in understanding and analyzing sound patterns for music production & research.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add rkiding/awesome-finance-skills --skill alphaear-logic-visualizer -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

rkiding

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

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

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 failed 1 of 6 checks. A failure is not proof of bad intent; it means something in the code needs a human to look at it before you run it.

  • No undeclared network calls: failed

    Contacts 1 host that is neither well-known infrastructure nor declared in the skill's frontmatter: viewer.diagrams.net.

    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.

    Hosts contacted

    viewer.diagrams.netundeclared

    What it found

    • skills/alphaear-logic-visualizer/scripts/visualizer.py:445contacts viewer.diagrams.net
      <script type="text/javascript" src="https://viewer.diagrams.net/js/viewer-static.min.js"></script>

  • 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 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 rkiding/awesome-finance-skills at 853f09b4d0.

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

Commit
853f09b4d0
Manifest
skills/alphaear-logic-visualizer/SKILL.md
Scanned
6 files, 625 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

The alphaear-logic-visualizer skill generates visual representations of logical arguments and decision trees. It can take textual descriptions of logic problems, break them down into components, and display the relationships between statements visually. This allows for easier understanding and debugging of complex reasoning processes.

When to use it

  • Debugging AI Reasoning: Visualize why an AI agent made a particular decision by displaying the logical steps it took.
  • Understanding Complex Logic: Simplify intricate arguments or rulesets into digestible visual diagrams.
  • Financial Modeling Validation: Represent and validate complex financial models, ensuring all conditions and dependencies are accurately reflected.
  • Rule-Based System Design: Develop and review rule-based systems by visually mapping out the logic flow.

Key capabilities

  • Generates visual representations of logical arguments.
  • Displays relationships between statements in a decision tree format.
  • Accepts textual descriptions of logic problems as input.
  • Supports complex reasoning processes.

Example prompts

  • "Visualize the following argument: If A then B, and if B then C, therefore A implies C."
  • "Create a visual representation of this financial rule: If revenue exceeds $1 million AND expenses are less than $500,000 THEN approve investment."
  • “Show me the decision tree for determining loan eligibility based on credit score and income.”

Tips & gotchas

The skill's effectiveness depends on clear and unambiguous input. Complex or poorly defined logic may result in inaccurate or confusing visualizations.