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Electrobun Debugging

Checked
rajavijayach·vlatest·testing·MIT

Identifies and suggests fixes for errors in Electrobun game code using advanced AI analysis and pattern recognition.

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 rajavijayach/electrobun-skills --skill electrobun-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

rajavijayach

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 rajavijayach/electrobun-skills at a6848ef2c6.

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

Commit
a6848ef2c6
Manifest
electrobun-debugging/SKILL.md
Scanned
1 file, 539 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 electrobun-debugging skill assists in identifying and resolving errors within Python code. It can analyze provided code snippets, pinpoint the source of bugs, and suggest potential fixes. This skill is particularly useful for debugging complex logic or unfamiliar codebases where manual troubleshooting would be time-consuming.

When to use it

  • You're encountering unexpected behavior in a Python script and need help identifying the root cause.
  • You have inherited a codebase with existing bugs that you need to quickly resolve.
  • You are learning Python and want assistance understanding error messages and debugging techniques.
  • You’re working on a large project and require automated support for finding and fixing code errors.

Key capabilities

  • Python code analysis
  • Bug identification
  • Error explanation
  • Fix suggestions

Example prompts

  • "Debug this Python code: [paste code snippet]"
  • "I'm getting a 'TypeError' in my script, can you help me understand why?"
  • "This function isn’t returning the expected value. Can you find the error? [paste function definition]"

Tips & gotchas

The skill is designed for Python code; ensure your input adheres to Python syntax for optimal results. While it provides suggestions, always review and test any proposed fixes thoroughly before implementing them in a production environment.