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Debugging

Checked
samhvw8·vlatest·testing

Identifies and suggests fixes for code errors based on detailed error logs and stack traces.

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 samhvw8/dot-claude --skill 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

samhvw8

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 samhvw8/dot-claude at 28c7616211.

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

Commit
28c7616211
Manifest
skills/debugging/SKILL.md
Scanned
7 files, 671 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 identifying and resolving errors within code or systems. It can analyze error messages, suggest potential causes of issues, and propose solutions to fix bugs. The debugging process is streamlined by providing targeted advice based on the context provided.

When to use it

  • You're encountering an unexpected error message while running a program.
  • A script isn’t producing the expected output or behavior.
  • You need help understanding why a particular function or module isn't working as intended.
  • You are looking for suggestions on how to improve code quality and reduce potential future errors.

Key capabilities

  • Error message analysis
  • Root cause identification
  • Solution suggestion
  • Code improvement recommendations

Example prompts

  • "I’m getting a 'TypeError: unsupported operand type(s) for +: 'int' and 'str'' error in my Python script. Can you help me debug it?"
  • "My JavaScript function isn't returning the correct value. Here's the code: [paste code here]. What could be going wrong?"
  • “I’m seeing a segmentation fault when running this program. What are some common causes and how can I investigate?”

Tips & gotchas

The skill is most effective when provided with clear error messages or relevant code snippets. Providing context about the environment (programming language, operating system) will also improve its accuracy.