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Systematic Debugging

Checked
mjunaidca·vlatest·testing

Systematically identifies and resolves software bugs through automated analysis, root cause identification, and suggested fixes.

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 mjunaidca/mjs-agent-skills --skill systematic-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

mjunaidca

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 mjunaidca/mjs-agent-skills at b829650de9.

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

Scanned
3 files, 327 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 helps AI agents systematically debug code. It facilitates identifying root causes of errors through structured analysis, suggesting potential fixes based on error messages and code context, and guiding the agent through a methodical debugging process. The goal is to improve efficiency and accuracy in resolving software defects.

When to use it

  • When an AI agent encounters unexpected behavior or errors during code execution.
  • During automated testing phases where failures require investigation.
  • To assist developers in troubleshooting complex issues within a codebase.
  • When debugging unfamiliar codebases, providing structured guidance for understanding and resolving problems.

Key capabilities

  • Error message analysis
  • Code context awareness
  • Root cause identification
  • Suggestion of potential fixes
  • Guided debugging process

Example prompts

  • "Debug this Python script: [script content] - I'm getting a TypeError."
  • "I have an error in my JavaScript code. The error message is 'Uncaught ReferenceError: variable is not defined'. Can you help me debug it?"
  • "This Java program isn’t producing the expected output. Walk me through debugging steps, starting with analyzing the error logs.”

Tips & gotchas

The skill's effectiveness relies on providing clear and complete code snippets along with any associated error messages for accurate analysis. Ensure sufficient context is provided to enable effective debugging suggestions.