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Debugging

Checked
mrgoonie·vlatest·testing

Automates debugging Python code by identifying errors, suggesting fixes, and generating test cases based on mrgoonie's expertise.

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 mrgoonie/claudekit-skills --skill debugging -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

mrgoonie

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 mrgoonie/claudekit-skills at 80113d86bc.

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

Scanned
11 files, 1,154 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

The debugging skill empowers AI agents to autonomously identify, analyze, and resolve errors within codebases. It leverages advanced reasoning to interpret stack traces, logs, and runtime behaviors to pinpoint root causes without manual intervention.

When to use it

  • Runtime failures: When an application crashes or throws unexpected exceptions during execution.
  • Logic errors: To trace incorrect output that stems from flawed algorithmic logic rather than syntax issues.
  • Integration issues: When debugging communication breakdowns between microservices, APIs, or external dependencies.
  • Performance bottlenecks: To identify and fix code segments causing latency or resource exhaustion.

Key capabilities

  • Automated error log analysis for root cause identification.
  • Stack trace interpretation to map execution flow failures.
  • Context-aware debugging across multiple programming languages.
  • Suggestion of targeted fixes based on detected anomalies.

Example prompts

  • "Analyze this stack trace and explain the sequence of events leading to the NullPointerException."
  • "Review the provided logs for the payment service and identify why transactions are timing out."
  • "Debug this Python script that is returning incorrect calculations despite passing syntax checks."

Tips & gotchas

Ensure you provide full context, including relevant code snippets and complete error messages, as limited input reduces diagnostic accuracy. This skill requires access to runtime logs or a live environment to effectively trace execution paths.