quarkus-skill

skill
Security Audit
Fail
Health Warn
  • License — License: MIT
  • Description — Repository has a description
  • Active repo — Last push 21 days ago
  • Low visibility — Only 6 GitHub stars
Code Fail
  • rm -rf — Recursive force deletion command in install.sh
Permissions Pass
  • Permissions — No dangerous permissions requested
Purpose: This tool provides reference documentation and contextual guidance for the Quarkus framework directly to AI coding assistants like Claude Code and Cursor. It helps developers implement architecture decisions, troubleshoot issues, and write Quarkus applications more efficiently.

Security Assessment: The overall risk is rated as Medium. The tool provides documentation and does not access sensitive data or contain hardcoded secrets. However, the installation method uses a `curl | bash` pipeline, which downloads and executes remote code directly. During this installation process, the script contains a `rm -rf` recursive force deletion command. While this is commonly used to clean up temporary installation files, it is flagged as a potential risk because it executes blindly on your local machine without prior review. No other dangerous permissions or background network requests were detected.

Quality Assessment: The project is actively maintained, with its last push occurring just 21 days ago. It is properly licensed under the standard MIT license, which is safe for commercial and private use. However, the project has very low community visibility, currently sitting at only 6 GitHub stars. This means the codebase has undergone minimal peer review from the broader open-source community.

Verdict: Use with caution. While the tool itself is just a documentation helper, the embedded `rm -rf` command in the installation script poses a slight risk. It is highly recommended to download the installation script and manually review it before executing it on your system.
SUMMARY

Quarkus platform reference docs and installable skill for AI coding assistants, focused on implementation guidance, troubleshooting, and architecture decisions.

README.md

Quarkus Skill for AI Coding Assistants

Quarkus platform reference docs and installable skill for AI coding assistants, including OpenCode, Codex, Cursor, Claude Code, Gemini CLI, and GitHub Copilot.

Use this repository to get concise, example-first guidance for building and troubleshooting Quarkus applications: CDI and dependency injection, configuration, tooling workflows, and architecture decisions.

Install

AI Agents

Add the skill to your AI coding assistant for richer context:

npx skills add b6k-dev/quarkus-skill

This works with many different tools including: Claude Code, Codex, Cursor, Gemini CLI, GitHub Copilot, Goose, OpenCode, Windsurf.

Opencode

Local installation (current project only):

curl -fsSL https://raw.githubusercontent.com/b6k-dev/quarkus-skill/main/install.sh | bash

Global installation (available in all projects):

curl -fsSL https://raw.githubusercontent.com/b6k-dev/quarkus-skill/main/install.sh | bash -s -- --global

Usage

Once installed, the skill appears in OpenCode's <available_skills> list. The agent can load it automatically when working on Quarkus tasks.

Use the /quarkus command to load the skill and get contextual guidance:

/quarkus add REST API with validation and OpenAPI docs

Updating

To update to the latest version:

/quarkus --update-skill

License

MIT - see LICENSE

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