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Error Recovery

Checked
fatih-developer·vlatest·backend·MIT

This "Error Recovery" skill automatically identifies and corrects common errors in your code, boosting development speed & reliability.

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 fatih-developer/fth-skills --skill error-recovery -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

fatih-developer

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 fatih-developer/fth-skills at f0d82e9b4f.

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

Commit
f0d82e9b4f
Manifest
skills/error-recovery/SKILL.md
Scanned
3 files, 211 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, authored by fatih-developer, provides capabilities for recovering from errors encountered during development processes. It helps identify and resolve issues, ensuring a more robust and reliable workflow. The tool aims to streamline debugging and improve overall code quality through automated error handling.

When to use it

  • When encountering unexpected crashes or failures in your development environment.
  • During complex coding tasks where errors are likely to occur frequently.
  • To automate the process of identifying and resolving common coding mistakes.
  • For improving the reliability and stability of software projects.

Key capabilities

  • Error identification
  • Automated error handling
  • Debugging assistance
  • Code quality improvement

Example prompts

  • "Analyze this code snippet for potential errors."
  • "What are the most common causes of this runtime exception?"
  • "Suggest a solution to fix this bug in my application."
  • "Help me debug this error message: [paste error message here]"

Tips & gotchas

The skill's effectiveness depends on providing clear and concise information about the errors encountered. Ensure you have sufficient context for the AI agent to accurately diagnose and suggest solutions.