rules-quarkus-skills: Instructions file for Codex

AGENTS.md

rules-quarkus-skills AGENTS.md is an instructions file for Codex, OpenCode from kinhluan/rules-quarkus-skills. It costs 1,127 tokens per session, scanned A, original, MIT.

A set of working instructions for Java projects built with Quarkus, a Java framework, and Bazel, a build system. It explains when to use guidance for Java, Maven, Gradle, Bazel, reactive programming, native compilation, and Quarkus integration.

In plain words
What is it for?
Use it when developing or maintaining Quarkus applications, Java code, build files, reactive code, native images, or projects combining Quarkus with Bazel.
Why use it?
It helps an agent choose relevant guidance for the technology involved instead of applying unrelated project rules.

Instructions file for CodexOpenCode

Written for Codex and OpenCode: the file is AGENTS.md.

This is kinhluan/rules-quarkus-skills's own configuration. It tells Codex and OpenCode how to work on rules-quarkus-skills itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything rules-quarkus-skills configures →

Reuse

Borrowing it

Nothing to install: this file belongs to kinhluan/rules-quarkus-skills. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/kinhluan/rules-quarkus-skills/main/AGENTS.md
Clone the repo
git clone --depth 1 https://github.com/kinhluan/rules-quarkus-skills

Made for: Codex, OpenCode.

Wrote this? Show the measurements

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Per session 1,127 This file is loaded in full into every session.
When invoked 1,127 The same file — it is already loaded in full.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.01127 $0.01127
Opus 5 $0.00563 $0.00563
Sonnet 5 $0.00225 $0.00225
Haiku 4.5 $0.00113 $0.00113

Measured 9d ago against content hash 95115475e9c1, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

rules-quarkus-skills AGENTS.md scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

AGENTS.md · 156 lines

How it starts

The opening of the file, as written. The whole thing — 156 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Agent Guidelines for rules-quarkus-skills

Instructions for AI agents working with the rules-quarkus-skills ecosystem.


Project Overview

This repository contains 8 expert skills for modern Java development with Quarkus and Bazel, organized in a 3-layer architecture:

Layer 3 (Integration):    rules-quarkus 🔧
Layer 2 (Framework/Runtime): vertx 🌀 | quarkus ⚡ | graalvm 🚀
Layer 1 (Foundation):     java ☕ | maven 📦 | gradle 🐘 | bazel 🏗

Primary Goal: Bridge the gap between Quarkus's dynamic build-time augmentation and Bazel's hermetic model.


Skill Activation Rules

When to Use Each Skill

Context Primary Skill Secondary Skills
Java language, Virtual Threads, Records @java
Maven POM, dependencies, BOMs @maven
Gradle build, Kotlin DSL, migration @gradle
Bazel rules, Starlark, hermetic builds @bazel
Reactive programming, Event Loop @vertx @java
Native Image, AOT, reflection config @graalvm @java
Quarkus framework, CDI, REST @quarkus @java, @vertx, @graalvm
Quarkus + Bazel integration, BUILD files @rules-quarkus All 7 skills

Multi-Skill Activation Patterns

@quarkus @graalvm   Native build fails with reflection error
@rules-quarkus @maven   Migrate Maven project to Bazel
@vertx @java   Event Loop blocked by synchronous code
@rules-quarkus @gradle   Migrate Gradle project to Bazel

Coding Standards

Language

  • All technical content in English
  • Use Java 21+ features by default (Virtual Threads, Records, Pattern Matching)

Architecture

  • Apply Clean Architecture / Hexagonal patterns
  • Domain layer must have zero framework dependencies
  • Use constructor injection exclusively

Build System Priority

  1. Bazel is the preferred build system for this ecosystem
  2. Provide Maven/Gradle examples for migration contexts only
  3. Always include Bazel migration path when showing Maven/Gradle code

Read the full file on GitHub · 156 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 9d ago First seen · 156 lines · 1,127 tokens per session scan A 95115475e9c1

Subscribe to this mod's changes

rules-quarkus-skills AGENTS.md is an instructions file published in the GitHub repository kinhluan/rules-quarkus-skills (3 stars, last pushed 3mo ago), licensed MIT. It adds 1,127 tokens to every session, about $0.0056 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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