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Tdz Debugger

Checked
tippyentertainment·vlatest·testing

The Tdz Debugger analyzes your Tdz game code for errors and provides targeted fixes, streamlining development and resolving issues quickly.

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 tippyentertainment/skills --skill tdz-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

tippyentertainment

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 tippyentertainment/skills at a7d11aff35.

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

Scanned
1 file, 111 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 tdz-debugger skill provides debugging capabilities for AI agents. It allows users to inspect and modify the internal state of an agent during execution, facilitating troubleshooting and understanding complex behaviors. This skill is particularly useful when dealing with intricate logic or unexpected outcomes in AI workflows.

When to use it

  • Troubleshooting Agent Errors: Identify the root cause of errors by stepping through the agent's process and examining variables.
  • Understanding Complex Logic: Gain insight into how an agent arrives at a particular decision by observing its internal state changes.
  • Experimenting with Agent Behavior: Modify internal parameters or data during execution to test different scenarios and observe their impact.
  • Debugging Integrations: When integrating with external tools, use the debugger to examine data flow and identify potential issues.

Key capabilities

  • Inspect agent state
  • Modify agent state
  • Step through execution

Example prompts

  • "Debug my agent's reasoning process."
  • "Show me the current value of 'user_input'."
  • "Set 'confidence_threshold' to 0.8 and continue."

Tips & gotchas

This skill requires a foundational understanding of the AI agent’s internal workings to effectively interpret the debug information. The ability to modify state may require specific permissions or configurations within the agent environment.