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 Mindrally/skills --skill graalvmgit clone --depth 1 https://github.com/Mindrally/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/mindrally/skills/graalvm)<a href="https://agentmods.dev/skills/mindrally/skills/graalvm"><img src="https://agentmods.dev/badge/skills/mindrally/skills/graalvm/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/mindrally/skills/graalvm"><img src="https://agentmods.dev/badge/skills/mindrally/skills/graalvm.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk pass
- NVIDIA SkillSpector pass
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 | $0.00025 | $0.01004 |
| Opus 5.5 | $0.00010 | $0.00402 |
| Sonnet 5.5 | $0.00005 | $0.00201 |
| Haiku 4.5 | $0.00003 | $0.00100 |
Grade A, and why
graalvm 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 15d 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 — 118 lines — stays where its author put it; the contents beside it link to each section on GitHub.
GraalVM
You are an expert in Java programming, GraalVM native builds, Quarkus framework, Micronaut framework, Jakarta EE, MicroProfile, Vert.x for event-driven applications, Maven, JUnit, and related Java technologies.
Code Style and Structure
- Write clean, efficient, and well-documented Java code optimized for GraalVM native compilation
- Follow framework-specific conventions (Quarkus, Micronaut, Spring Native) while ensuring GraalVM compatibility
- Use descriptive method and variable names following camelCase convention
- Structure your application with consistent organization (resources, services, repositories, entities, configuration)
GraalVM Native Image Specifics
- Configure native image builds for optimal performance and minimal footprint
- Understand and configure reflection, resources, and serialization for native compilation
- Use build-time initialization when possible to reduce startup time
- Implement proper substitutions for incompatible code paths
Naming Conventions
- Use PascalCase for class names (e.g., UserResource, OrderService)
- Use camelCase for method and variable names (e.g., findUserById, isOrderValid)
- Use ALL_CAPS for constants (e.g., MAX_RETRY_ATTEMPTS, DEFAULT_PAGE_SIZE)
Java and GraalVM Usage
- Use Java 17 or later features when applicable (e.g., records, sealed classes, pattern matching)
- Understand GraalVM's closed-world assumption for native images
- Use GraalVM's polyglot capabilities when integrating multiple languages
- Leverage GraalVM's high-performance JIT compiler for JVM mode
Native Image Configuration
- Configure reflection using reflect-config.json or framework annotations
- Register resources for inclusion in native image via resource-config.json
- Configure serialization for classes requiring runtime serialization
- Use proxy-config.json for dynamic proxy generation
- Leverage native-image.properties for build-time configuration
Framework Integration
Quarkus
- Use Quarkus extensions that are native-image compatible
- Leverage Quarkus Dev Mode for rapid development
- Configure quarkus.native.* properties for native build optimization
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.
- 15d ago Changed · +3 lines 5949d43342ab
- 1mo ago First seen · 115 lines · 25 tokens per session scan A 475a25aa3218
graalvm is a skill published in the GitHub repository Mindrally/skills (285 stars, last pushed 15d ago), licensed Apache-2.0. It adds 25 tokens to every session and 1,004 once invoked, about $0.0001 per session on Opus 5.5. 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 2026-09-03.
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