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Visual Debugger

Checked
jarrodmedrano·vlatest·other

This Visual Debugger allows you to step through code execution visually, pinpointing issues and understanding program flow more effectively.

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 jarrodmedrano/jarrod-claude-skills --skill visual-debugger -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

jarrodmedrano

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 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 jarrodmedrano/jarrod-claude-skills at b983228e83.

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

Commit
b983228e83
Manifest
.claude/skills/visual-debugger/SKILL.md
Scanned
3 files, 1,114 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 visual-debugger skill allows you to examine and understand the internal state of AI agents, providing insights into their reasoning process. It presents agent outputs in a structured, visual format, enabling easier debugging and refinement. This helps identify unexpected behavior or biases within the agent's logic.

When to use it

  • Debugging complex workflows: When an agent is producing incorrect results in a multi-step task, visualize its internal state at each step to pinpoint the error.
  • Understanding reasoning chains: Examine how an agent arrives at conclusions by visualizing intermediate steps and data transformations.
  • Identifying biases: Inspecting the visual representation of agent decisions can reveal patterns or shortcuts that lead to biased outcomes.
  • Improving prompt engineering: Use the debugging information to refine prompts and guide the agent towards more desirable behavior.

Key capabilities

  • Visualizes agent internal state
  • Structured output presentation
  • Debugging assistance
  • Reasoning chain analysis

Example prompts

  • "Debug my agent's response to 'Summarize this article.'"
  • "Show me the intermediate steps of the agent when calculating the shipping cost."
  • "Visualize how the agent is classifying these images."

Tips & gotchas

The effectiveness of visual debugging depends on the complexity of the underlying AI agent and the richness of its internal state representation. It may require some experimentation to interpret the visualizations correctly.