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Fix Suggester

Checked
pilinux·vlatest·testing·MIT

The Fix Suggester automatically suggests code fixes for identified issues, boosting developer efficiency and reducing debugging time.

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 pilinux/gorest --skill fix-suggester -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

pilinux

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 pilinux/gorest at 38aab64fc2.

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

Scanned
1 file, 37 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 fix-suggester skill provides suggestions to improve and correct code snippets. It analyzes provided code and offers actionable fixes, aiming to enhance readability and functionality. This is particularly useful for identifying common errors or areas where the code could be optimized for better performance or maintainability.

When to use it

  • Debugging: Use when you're struggling to identify issues in a piece of code and need suggestions for potential fixes.
  • Code Review: Employ this skill during code reviews to get automated feedback on code quality and suggest improvements.
  • Learning: Utilize the skill to understand common coding errors and learn best practices by observing suggested corrections.
  • Refactoring: When refactoring existing code, use it to identify areas that can be simplified or improved.

Key capabilities

  • Code analysis
  • Error identification
  • Suggestion generation
  • Readability enhancement

Example prompts

  • "Can you suggest improvements for this Python function: def my_func(a,b): return a+ b?"
  • "Analyze this JavaScript code and provide suggestions to make it more efficient: `[...]"
  • "I'm getting an error in this C++ snippet. Can you help me fix it? [code here]"

Tips & gotchas

The skill is best used with relatively small, self-contained code snippets for optimal analysis. Complex or very large projects may yield less accurate suggestions.