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Systematic Debugging

Checked
heyitsnoah·vlatest·testing·MIT

Systematically identifies and reports software bugs using automated analysis and targeted test case generation.

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 heyitsnoah/claudesidian --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

heyitsnoah

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 heyitsnoah/claudesidian at 6c56f351c1.

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

Commit
6c56f351c1
Manifest
.agents/skills/systematic-debugging/SKILL.md
Scanned
1 file, 400 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 provides a structured approach to debugging code or systems. It helps break down complex issues into manageable steps, identify root causes, and propose solutions through methodical investigation and analysis. The tool facilitates logging, hypothesis generation, and targeted testing to pinpoint errors efficiently.

When to use it

  • Troubleshooting application crashes: Use when an application unexpectedly terminates with unclear error messages.
  • Debugging complex logic flaws: Employ this skill when a program produces incorrect results despite seemingly correct code.
  • Identifying performance bottlenecks: Leverage the systematic approach to analyze and optimize slow-running processes.
  • Investigating intermittent errors: Apply it to issues that occur sporadically, making them difficult to reproduce.

Key capabilities

  • Structured Debugging Process
  • Hypothesis Generation
  • Targeted Testing
  • Error Logging & Analysis

Example prompts

  • "Debug this Python code and explain the error."
  • "I'm seeing intermittent errors in my application; can you systematically investigate?"
  • "My program is running slowly. Can you help me identify performance bottlenecks using a systematic debugging approach?"

Tips & gotchas

The skill works best with clear, concise code or system descriptions. Providing relevant context and error messages will improve the accuracy of its analysis.