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Error Diagnostics Smart Debug

Checked
liuchiawei·vlatest·testing

Automatically identifies and suggests fixes for errors in code based on liuchiawei's expertise and debugging patterns.

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 liuchiawei/agent-skills --skill error-diagnostics-smart-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

liuchiawei

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 liuchiawei/agent-skills at f5a7853d0d.

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

Commit
f5a7853d0d
Manifest
skills/debug/error-diagnostics-smart-debug/SKILL.md
Scanned
1 file, 196 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, liuchiawei-error-diagnostics-smart-debug, assists in identifying and resolving errors within code. It can analyze error messages, stack traces, and code snippets to pinpoint the root cause of issues. The tool aims to provide actionable insights for debugging and improving software reliability.

When to use it

  • When encountering cryptic or unhelpful error messages that require deeper analysis.
  • During development to quickly identify and fix bugs in a codebase.
  • To understand complex stack traces and their implications on application behavior.
  • For troubleshooting production errors where detailed diagnostics are needed for rapid resolution.

Key capabilities

  • Error message parsing
  • Stack trace analysis
  • Code snippet interpretation
  • Root cause identification

Example prompts

  • "Analyze this error message: 'TypeError: Cannot read property 'name' of undefined'"
  • "Explain the following stack trace and suggest potential causes."
  • "I have a bug in this code [paste code]. Can you help me debug it?"

Tips & gotchas

The skill’s effectiveness depends on the clarity and completeness of the provided error information. Providing relevant code snippets alongside error messages will yield better results.