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Debug

Checked
johnlindquist·vlatest·testing

Automatically identifies and suggests fixes for common coding errors based on John Lindquist's 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 johnlindquist/claude --skill debug -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

johnlindquist

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 johnlindquist/claude at eb37d88225.

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

Commit
eb37d88225
Manifest
skills/debug/SKILL.md
Scanned
1 file, 263 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 johnlindquist-debug skill provides debugging assistance within AI agent workflows. It helps identify and resolve issues by providing insights into the reasoning process, suggesting potential fixes, and offering explanations for unexpected behavior. This allows users to troubleshoot problems more effectively and improve overall agent performance.

When to use it

  • When an AI agent is producing incorrect or undesirable results.
  • To understand why an agent made a specific decision in a complex workflow.
  • During the development phase of an AI agent, to identify and fix bugs early on.
  • When troubleshooting errors or unexpected behavior within an agent's execution.

Key capabilities

  • Debugging assistance
  • Reasoning process insights
  • Suggestion of potential fixes
  • Explanations for behavior

Example prompts

  • "Debug the last step in this workflow and explain why it failed."
  • "Why did you choose that action? I think there might be a better option."
  • "Can you show me the reasoning behind your decision to [specific action]?"

Tips & gotchas

This skill is most effective when used with agents performing complex tasks or workflows. Providing context and specific details about the problem will help the skill provide more targeted and useful debugging assistance.