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Mode Debug

Checked
duck4nh·vlatest·testing

Inspects internal states and execution paths of other agents to diagnose issues and improve performance.

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 duck4nh/antigravity-kit --skill mode-debug -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

duck4nh

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 duck4nh/antigravity-kit at 90de2acb0b.

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

Scanned
3 files, 213 lines
Copies in repo
3 — all of them scanned
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 mode-debug skill allows an AI agent to enter a debugging mode, providing verbose output and internal state information. This is useful for understanding the agent's reasoning process and identifying potential errors. It enables detailed logging of actions taken and intermediate results during task execution.

When to use it

  • Troubleshooting complex tasks: When an agent fails unexpectedly, activate debug mode to inspect its decision-making steps.
  • Understanding agent behavior: Gain insight into how the agent is interpreting instructions and interacting with tools.
  • Developing new skills or prompts: Use debug mode to observe the impact of changes on the agent's performance.
  • Educational purposes: Demonstrate how an AI agent approaches a problem by showing its internal thought process.

Key capabilities

  • Verbose logging of actions
  • Display of intermediate results
  • Access to internal state variables
  • Detailed error reporting

Example prompts

  • "Enable debug mode and then summarize this article."
  • "Run the 'calculate_total' skill in debug mode."
  • "Show me the agent’s internal state while it is browsing the web."

Tips & gotchas

Debug mode significantly increases verbosity, which can impact performance. It's recommended to disable debug mode after troubleshooting or analysis is complete.