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Systematic Debugging

Checked
fradser·vlatest·testing·MIT

Systematically identifies and resolves software bugs using automated 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 fradser/dotclaude --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

fradser

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 fradser/dotclaude at 9815c4f485.

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

Commit
9815c4f485
Manifest
superpowers/skills/systematic-debugging/SKILL.md
Scanned
7 files, 880 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, fradser-systematic-debugging, provides a structured approach to debugging code. It allows you to systematically identify and isolate issues by guiding the AI agent through a series of targeted checks and analyses. The tool aims to improve the efficiency and accuracy of debugging processes compared to ad-hoc methods.

When to use it

  • Complex bugs: When faced with difficult-to-reproduce or multifaceted errors in code.
  • Regression testing: To ensure that recent changes haven't introduced new issues into existing functionality.
  • Collaborative debugging: To provide a consistent and documented debugging process for teams.
  • Understanding unfamiliar codebases: To quickly pinpoint the source of problems within code you are not familiar with.

Key capabilities

  • Systematic error isolation
  • Targeted checks and analyses
  • Structured debugging workflow
  • Improved debugging efficiency

Example prompts

  • "Debug this Python script for errors related to file handling."
  • "Can you systematically debug this JavaScript function, focusing on potential memory leaks?"
  • "I'm seeing unexpected behavior in this C++ code. Use systematic debugging techniques to identify the root cause."

Tips & gotchas

The skill is most effective when provided with clear and concise code snippets or descriptions of the problem being encountered. It’s helpful to provide context about the expected behavior versus what is actually happening.