Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add kinhluan/rules-quarkus-skills --skill graalvm-expertgit 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/skills/kinhluan/rules-quarkus-skills/graalvm-expert)<a href="https://agentmods.dev/skills/kinhluan/rules-quarkus-skills/graalvm-expert"><img src="https://agentmods.dev/badge/skills/kinhluan/rules-quarkus-skills/graalvm-expert/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/skills/kinhluan/rules-quarkus-skills/graalvm-expert"><img src="https://agentmods.dev/badge/skills/kinhluan/rules-quarkus-skills/graalvm-expert.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 | $0.00039 | $0.00870 |
| Opus 5 | $0.00019 | $0.00435 |
| Sonnet 5 | $0.00008 | $0.00174 |
| Haiku 4.5 | $0.00004 | $0.00087 |
Grade A, and why
graalvm-expert 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 12d 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 — 66 lines — stays where its author put it; the contents beside it link to each section on GitHub.
graalvm-expert
Keyword: graalvm | Platforms: gemini,claude,codex
High-Performance Polyglot & Native VM Expert Skill - Specialized in GraalVM AOT (Ahead-of-Time) compilation.
Core Mandates
- AOT Mindset: Understand that Native Image has a "Closed-world assumption" (all bytecode must be known at build time).
- Reflection Discipline: Mandate
reflection-config.jsonfor any dynamic class loading or reflection usage. - Initialization Policy: Differentiate between Build-time initialization (faster startup, smaller image) and Runtime initialization (safer for classes with side effects).
- Polyglot Strategy: Leverage GraalVM SDK for high-performance interoperability between Java, JS, Python, and Ruby.
Native Image Mastery
- Native Image Agent: Using
java -agentlib:native-image-agentto automatically generate configuration files. - Resource Management: Config for
resource-config.jsonto include static assets in the native binary. - Dynamic Proxy: Configuring
proxy-config.jsonfor Java dynamic proxies. - Substrate VM: Understanding memory management and GC options (G1 vs Serial) in native binaries.
GraalVM + Build Systems
- Maven/Gradle: Using the GraalVM Native Build Tools plugins.
- Bazel Integration: Configuring
rules_graalvmand toolchains for hermetic native builds. - Quarkus Native: Troubleshooting Quarkus-specific native image failures (often related to extensions or transitive libraries).
Optimization & Performance
- PGO (Profile-Guided Optimization): Collecting profiles from JIT runs to optimize AOT binaries.
- Graal JIT: Using Graal as a replacement for C2 compiler in standard JVM mode for better performance in modern Java.
- Static Analysis: Interpreting GraalVM build-time reports (reachability analysis).
Expert Tips
- Always check
reflect-config.jsonif you getClassNotFoundExceptionin a native binary. - Prefer
quarkus.native.additional-build-argsfor passing low-level GraalVM flags. - Use
--trace-class-initializationto debug complex initialization order issues.
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 12d ago First seen · 66 lines · 39 tokens per session scan A 7eeeef8c0637
graalvm-expert is a skill published in the GitHub repository kinhluan/rules-quarkus-skills (3 stars, last pushed 3mo ago), licensed MIT. It adds 39 tokens to every session and 870 once invoked, about $0.0002 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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