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Systematic Debugging

Checked
nickcrew·vlatest·testing·MIT

Systematically identifies and isolates software bugs using detailed logs and automated reproduction steps.

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 nickcrew/claude-cortex --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

nickcrew

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 nickcrew/claude-ctx-plugin at bb47af79ad.

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

Commit
bb47af79ad
Manifest
skills/systematic-debugging/SKILL.md
Scanned
6 files, 632 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, nickcrew-systematic-debugging, helps AI agents systematically debug code. It guides the agent through a structured process of identifying errors, formulating hypotheses about their cause, and testing those hypotheses to isolate and resolve issues. The tool aims to improve debugging efficiency and accuracy by providing a framework for logical problem-solving.

When to use it

  • When an AI agent is generating incorrect code or exhibiting unexpected behavior.
  • To troubleshoot complex errors that are difficult to pinpoint through casual inspection.
  • For agents working on projects where reliable, error-free code is critical.
  • During the development and refinement of new AI agent capabilities involving code generation.

Key capabilities

  • Structured debugging process guidance
  • Hypothesis formulation assistance
  • Error isolation techniques
  • Testing strategy suggestions

Example prompts

  • "Debug this Python script: [script content]"
  • "I'm getting an error 'TypeError: unsupported operand type(s) for +: 'int' and 'str''. Can you help me debug it?"
  • "This code isn't producing the expected output. Walk me through a systematic debugging process."

Tips & gotchas

The skill is most effective when provided with clear error messages or descriptions of unexpected behavior. It assumes some basic understanding of programming concepts and terminology.