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Systematic Debugging

Checked
secondsky·vlatest·testing·MIT

Systematically identifies and suggests fixes for software bugs using advanced code analysis and automated testing 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 secondsky/claude-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

secondsky

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 secondsky/claude-skills at 8837836131.

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

Commit
8837836131
Manifest
plugins/systematic-debugging/skills/systematic-debugging/SKILL.md
Scanned
1 file, 288 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

The Systematic Debugging skill helps AI agents systematically identify and suggest fixes for software bugs, prioritizing root cause analysis over quick patches. It enforces a strict four-phase process to ensure underlying issues are addressed before any code changes are proposed, preventing the creation of new problems or masking existing ones. The core principle is always finding the root cause before attempting a fix; symptom fixes are considered failures.

When to use it

This skill is valuable in these situations:

  • When encountering test failures
  • Debugging bugs found in production environments
  • Investigating unexpected software behavior or performance problems
  • Addressing build failures and integration issues
  • Under time pressure, where quick fixes are tempting but risky
  • When previous attempts at fixing the issue have been unsuccessful
  • When you lack a full understanding of the problem

Key capabilities

  • Root Cause Investigation: Requires thorough investigation before proposing any fixes.
  • Error Message Analysis: Emphasizes careful reading and analysis of error messages, stack traces, line numbers, file paths, and error codes.
  • Reproducibility Testing: Requires consistent reproduction of the issue to identify exact steps and conditions.
  • Change Tracking: Checks recent code changes (Git diffs, commits, dependencies, configurations) for potential causes.
  • Diagnostic Instrumentation (Multi-Component Systems): In systems with multiple components, requires logging data flow at component boundaries to pinpoint failing areas.
  • Data Flow Tracing: Suggests using the "root-cause-tracing" skill for tracing data backward through call stacks.

Example prompts

  • “I’m seeing a build failure; use Systematic Debugging to help me understand why.”
  • “We have a bug in production causing unexpected behavior. Can you guide me through a systematic debugging process?”
  • “This test is failing, and I've already tried a few fixes that didn't work. Walk me through the Systematic Debugging phases."

Tips & gotchas

  • Phase Adherence: You must complete each of the four phases (Root Cause Investigation) before proposing any fixes.
  • Multi-Component Systems: For complex systems, be prepared to add diagnostic instrumentation and log data flow between components.
  • Tracing Skill Dependency: For deep call stack errors, consider using the "root-cause-tracing" skill in conjunction with Systematic Debugging.