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Debugger Python

Checked
progmichaelkibenko·vlatest·backend·Apache-2.0

Identifies and suggests fixes for Python code errors, improving backend functionality and reducing debugging time.

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 progmichaelkibenko/top-coder-agent-skills --skill debugger-python -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

progmichaelkibenko

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 progmichaelkibenko/top-coder-agent-skills at a0170301c8.

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

Commit
a0170301c8
Manifest
skills/debugger-python/SKILL.md
Scanned
3 files, 319 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

This skill allows an AI agent to debug Python code. It can identify and explain errors, suggest fixes, and step through code execution to understand program flow. The debugger supports common debugging techniques like breakpoints and variable inspection.

When to use it

  • When a Python script produces unexpected results or crashes.
  • To understand the root cause of an error message in a Python program.
  • During development to test different approaches to solving a programming problem.
  • When refactoring existing Python code and needing to ensure functionality remains intact.

Key capabilities

  • Error identification and explanation
  • Code suggestion for fixing errors
  • Step-through execution of code
  • Variable inspection at breakpoints

Example prompts

  • "Debug this Python code: [code snippet]"
  • "Explain why the following Python script is producing an error: [code snippet]"
  • "Can you step through this Python function and tell me what each line does? [function definition]"

Tips & gotchas

The skill requires access to the Python code being debugged. It's most effective with well-formatted, readable code for accurate analysis and suggestions.