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.
curl -O https://raw.githubusercontent.com/kinhluan/rules-quarkus-skills/main/GEMINI.mdgit clone --depth 1 https://github.com/kinhluan/rules-quarkus-skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/instructions/kinhluan/rules-quarkus-skills/gemini-md)<a href="https://agentmods.dev/instructions/kinhluan/rules-quarkus-skills/gemini-md"><img src="https://agentmods.dev/badge/instructions/kinhluan/rules-quarkus-skills/gemini-md/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/instructions/kinhluan/rules-quarkus-skills/gemini-md"><img src="https://agentmods.dev/badge/instructions/kinhluan/rules-quarkus-skills/gemini-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.01251 | $0.01251 |
| Opus 5 | $0.00626 | $0.00626 |
| Sonnet 5 | $0.00250 | $0.00250 |
| Haiku 4.5 | $0.00125 | $0.00125 |
Grade A, and why
rules-quarkus-skills GEMINI.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.
How it starts
The opening of the file, as written. The whole thing — 182 lines — stays where its author put it; the contents beside it link to each section on GitHub.
rules-quarkus-skills
Expert AI Agent Skills for Modern Java + Quarkus + Bazel Development
This extension provides specialized knowledge for building high-performance Java applications, covering the entire stack from language primitives to cloud-native deployment.
📦 Available Skills
1. java-expert
Keyword: java
Description: High-performance Modern Java (21+) expertise
When to activate:
- General Java development and logic questions
- Performance tuning (JFR, G1GC)
- Clean Architecture and testing patterns
2. maven-expert
Keyword: maven
Description: Expert knowledge for Apache Maven and dependency management
When to activate:
- Managing external dependencies and BOMs
- Resolving transitive dependency conflicts
- Migrating projects from Maven to Bazel
3. gradle-expert
Keyword: gradle
Description: Expert knowledge for Gradle Build Tool and performance
When to activate:
- Groovy and Kotlin DSL build configuration
- Multi-project builds and dependency management
- Migrating projects from Gradle to Bazel
4. vertx-expert
Keyword: vertx
Description: Reactive foundation expertise (Quarkus engine)
When to activate:
- Deep reactive programming and Event Loop questions
- High-performance non-blocking I/O
- Standalone reactive service development
5. graalvm-expert
Keyword: graalvm
Description: Native Image (AOT) and Polyglot runtime expertise
When to activate:
- Native compilation and GraalVM configuration
- Troubleshooting reflection/resource issues in native binaries
- Polyglot multi-language integration
6. rules-quarkus
Keyword: rules-quarkus
Description: Expert knowledge for the rules_quarkus Bazel build system
When to activate:
- Building Quarkus apps with Bazel
- Troubleshooting augmentation errors
- Adding new Quarkus extensions to BUILD files
7. quarkus-expert
Keyword: quarkus
Description: High-performance Quarkus framework expertise
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.
- 9d ago First seen · 182 lines · 1,251 tokens per session scan A 16be6714582f
rules-quarkus-skills GEMINI.md is an instructions file published in the GitHub repository kinhluan/rules-quarkus-skills (3 stars, last pushed 3mo ago), licensed MIT. It adds 1,251 tokens to every session, about $0.0063 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.
Other instructions, from other repositories
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Instructions for grft-dev/graftcode, covering graftcode — java backend services, when this applies (always), authoritative docs (source of truth), golden rules and service = plain maven/gradle module (no web framework).
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AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
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vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
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Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, applying the notice (cutover) and fallback chain (never fail the build).
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.