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Systematic Debugging

Checked
quantumsolver·vlatest·testing

Identifies and systematically resolves complex software bugs using quantum-inspired analysis and debugging techniques.

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 quantumsolver/e-health-kit --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

quantumsolver

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 quantumsolver/e-health-kit at 915d947afe.

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

Commit
915d947afe
Manifest
.agent/skills/systematic-debugging/SKILL.md
Scanned
1 file, 98 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, quantumsolver-systematic-debugging, systematically debugs code. It helps identify and resolve errors in a structured manner, improving the reliability of AI agent workflows. The tool is designed to be integrated with the e-health-kit project.

When to use it

  • When an AI agent's output consistently produces incorrect results or unexpected behavior.
  • During development cycles to proactively identify and fix potential bugs before deployment.
  • To diagnose complex issues where traditional debugging methods are insufficient.
  • When needing a repeatable process for identifying root causes of errors in code.

Key capabilities

  • Systematic error identification
  • Integration with e-health-kit project
  • Structured debugging workflow
  • Root cause analysis

Example prompts

  • "Debug the following Python script and identify any logical errors: [script content]"
  • "Trace the execution of this function and explain why it's producing incorrect output."
  • "Analyze these error logs and suggest potential fixes for the identified issues."

Tips & gotchas

The skill is specifically designed to work with the e-health-kit project, so results may vary when used with other codebases. Ensure you provide sufficient context and relevant code snippets for accurate debugging.