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React Doctor

Checked
blogic-cz·vlatest·frontend

Analyzes React code for potential errors, performance bottlenecks, and accessibility issues using Czech best practices.

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 blogic-cz/blogic-marketplace --skill react-doctor -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

blogic-cz

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 blogic-cz/blogic-marketplace at aaa7762eb5.

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

Commit
aaa7762eb5
Manifest
template-ts/skills/react-doctor/SKILL.md
Scanned
1 file, 45 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 react-doctor skill provides capabilities related to React development. It allows users to discover and install skills for AI agents, specifically focusing on frontend technologies. This likely includes features for debugging, code generation, or analysis within a React project context.

When to use it

  • When troubleshooting issues in a React application.
  • To generate boilerplate code for new React components.
  • For automated review of existing React codebase quality.
  • During the development of complex user interfaces using React.

Key capabilities

  • Discover and install skills for AI agents.
  • Focuses on frontend technologies, particularly React.
  • Provides debugging assistance for React applications.
  • Supports code generation within a React project.

Example prompts

  • "Can you generate a basic React component with a button?"
  • "Analyze this React code and identify potential performance bottlenecks."
  • "Find any errors in my React application's console output."

Tips & gotchas

This skill is specifically designed for React development. Ensure your AI agent has access to the relevant project files or codebase context for optimal results.