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Systematic Debugging

Checked
ericoo0·vlatest·testing

Systematically identifies and suggests fixes for code errors using detailed analysis and logical reasoning.

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 ericoo0/stock-trading-platform --skill systematic-debugging --full-depth -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

ericoo0

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 ericoo0/stock-trading-platform at 6a306e3c58.

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

Commit
6a306e3c58
Manifest
.coco/superpowers/skills/systematic-debugging/SKILL.md
Scanned
22 files, 2,436 lines
Copies in repo
2 — all of them scanned
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 helps AI agents systematically debug code. It can identify the root cause of errors, suggest fixes based on error messages and code context, and generate test cases to verify solutions. The agent will analyze stack traces and relevant code snippets to pinpoint issues efficiently.

When to use it

  • When an AI agent is encountering unexpected behavior or errors in a software application.
  • During the development process when debugging newly written code.
  • To troubleshoot production environments where error logs indicate underlying problems.
  • For complex bugs that require careful analysis and reproduction steps.

Key capabilities

  • Error root cause identification
  • Fix suggestion based on context
  • Test case generation for verification

Example prompts

  • "Analyze this stack trace and suggest a fix: [paste stack trace]"
  • "I'm getting an 'IndexOutOfBoundsException' in this code. Can you help me debug it? [paste code snippet]"
  • "Generate test cases to cover the scenario where [describe error condition]."

Tips & gotchas

The skill’s effectiveness depends on providing clear and complete error information, including stack traces and relevant code snippets. It's most useful when debugging code written in common programming languages.