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Skill Debugging Assistant

Checked
auldsyababua·vlatest·testing

This debugging assistant analyzes code, identifies errors, suggests fixes, and explains reasoning for faster testing cycles.

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 auldsyababua/instructor-workflow --skill skill-debugging-assistant -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

auldsyababua

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 auldsyababua/instructor-workflow at 92702083b8.

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

Scanned
3 files, 978 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 assists in debugging code by analyzing error messages, suggesting potential causes, and providing relevant documentation. It can help identify syntax errors, runtime exceptions, and logical flaws within a codebase. The assistant aims to streamline the debugging process and improve developer efficiency.

When to use it

  • When encountering unfamiliar error messages and needing assistance understanding their root cause.
  • During code reviews to proactively identify potential bugs and suggest improvements.
  • While working on complex projects where debugging can be time-consuming and challenging.
  • For developers of all skill levels seeking a tool to accelerate the debugging workflow.

Key capabilities

  • Error message analysis
  • Root cause suggestion
  • Documentation retrieval
  • Code review assistance

Example prompts

  • "Explain this error: 'TypeError: Cannot read properties of undefined (reading 'name')'"
  • "I'm getting a NullPointerException. What could be causing it?"
  • "Review this code snippet for potential bugs and suggest improvements."

Tips & gotchas

The skill’s effectiveness depends on the clarity and completeness of the error messages or code provided. Providing context, such as relevant code snippets or project details, can significantly improve the quality of the debugging assistance.