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Error Detective

Listed
icartsh·vlatest·testing

The Error Detective identifies and explains coding errors in your code snippets, saving you time debugging and improving understanding.

Repository

Install on your platform

This skill no longer installs under the name error-detective. icartsh/icartsh_plugin is deleted or private, so it cannot be installed from.

We check each listing against its upstream repository with the rules the skills CLI uses, last on 2026-10-22. We don't show a command we know will fail.

Repository install instructions

What we know about this skill

Publisher

icartsh

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.

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Automated safety checks

scanned

We could not read this skill's source, so none of the checks below were run.

Not scanned. repository not found or private Source recorded as icartsh/icartsh_plugin.
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About this skill

What it does

The error-detective skill helps identify and explain errors within text or code. It can pinpoint specific issues, suggest potential causes, and offer recommendations for correction. This is useful for debugging, improving writing quality, and understanding complex technical content.

When to use it

  • Debugging Code: When you have a piece of code that isn't working as expected, ask the agent to identify errors and explain them.
  • Improving Writing Quality: If you’ve written something and want feedback on potential grammatical or logical errors, this skill can help.
  • Understanding Technical Documentation: When faced with confusing technical documentation, use the skill to pinpoint unclear sections and request explanations of specific errors.
  • Analyzing Log Files: Provide log files and ask the agent to identify error patterns and suggest possible solutions.

Key capabilities

  • Error Identification
  • Error Explanation
  • Suggestion of potential causes for errors
  • Recommendations for correction

Example prompts

  • "Can you find any errors in this Python code: [code snippet]"
  • "Please review the following text and identify any grammatical or logical errors: [text]"
  • "I'm seeing these error messages in my log file. Can you help me understand what they mean? [log file content]"

Tips & gotchas

The skill’s effectiveness depends on the clarity of the input provided; ambiguous or poorly formatted text may yield less accurate results. Consider providing context when asking for error analysis, as this can improve accuracy.