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Systematic Debugging

Checked
mosif16·vlatest·testing

Systematically identifies and resolves software bugs using structured analysis and targeted code modifications.

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 mosif16/codex-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

mosif16

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 mosif16/codex-skills at f10bf9466c.

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

Commit
f10bf9466c
Manifest
skills/systematic-debugging/SKILL.md
Scanned
6 files, 619 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 facilitates a structured approach to debugging code, guiding an AI agent through a methodical process of identifying and resolving errors. It helps break down complex issues into smaller, manageable steps by suggesting relevant questions and actions based on error messages and code context. The goal is to improve the efficiency and accuracy of debugging efforts.

When to use it

  • When encountering unexpected behavior or errors in a codebase.
  • For systematically investigating bugs reported by users or automated tests.
  • To assist developers who are less familiar with a particular codebase.
  • During code reviews, to ensure thoroughness and identify potential issues early on.

Key capabilities

  • Error message analysis
  • Code context understanding
  • Question generation for debugging
  • Action suggestion based on error type
  • Systematic troubleshooting steps

Example prompts

  • "I'm getting a 'TypeError: undefined is not an object' error in my JavaScript code. Can you help me debug it?"
  • "My Python script is crashing with a segmentation fault. Walk me through the debugging process."
  • "This Java method isn’t returning the expected value; can you suggest some steps to find out why?”

Tips & gotchas

The skill's effectiveness relies on providing clear error messages and relevant code snippets for analysis. Be prepared to answer clarifying questions from the AI agent as it explores potential causes of the issue.