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Debug

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elie222·vlatest·testing

Automatically identifies and suggests fixes for common coding errors in Python scripts.

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This skill no longer installs under the name debug. elie222/inbox-zero has no skill named "debug" any more. It was renamed, moved or deleted upstream.

We check each listing against its upstream repository with the rules the skills CLI uses, last on 2026-10-26. We don't show a command we know will fail.

Repository install instructions

What we know about this skill

Publisher

elie222

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.

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Automated safety checks

scanned

We could not read this skill's source, so none of the checks below were run.

Not scanned. none of the 26 skills in the repository match this slug — it was most likely renamed or removed upstream after the registry indexed it Source recorded as elie222/inbox-zero.
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.
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About this skill

What it does

This skill provides debugging capabilities for AI agents. It allows users to inspect the agent's internal state, step through its reasoning process, and identify potential errors or inefficiencies. The debug tool helps understand why an agent is behaving in a certain way and facilitates iterative improvements to its performance.

When to use it

  • When an AI agent produces unexpected or incorrect results.
  • To understand the decision-making process of an agent when troubleshooting complex tasks.
  • During development and testing phases to identify and fix bugs within an agent's workflow.
  • For analyzing agent behavior in edge cases or unusual scenarios.

Key capabilities

  • Inspect internal state
  • Step through reasoning process
  • Identify errors and inefficiencies

Example prompts

  • "Debug the last action taken by the agent."
  • "Show me the current values of all variables."
  • "Explain why the agent chose this particular course of action."

Tips & gotchas

This skill is most effective when used in conjunction with a well-defined and structured AI agent architecture. Understanding the underlying code or logic of the agent will significantly enhance your ability to interpret the debugging information provided.