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 j4flmao/agent-skills --skill micronautgit clone --depth 1 https://github.com/j4flmao/agent-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/j4flmao/agent-skills/micronaut)<a href="https://agentmods.dev/skills/j4flmao/agent-skills/micronaut"><img src="https://agentmods.dev/badge/skills/j4flmao/agent-skills/micronaut/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/j4flmao/agent-skills/micronaut"><img src="https://agentmods.dev/badge/skills/j4flmao/agent-skills/micronaut.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- 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 | $0.00100 | $0.04113 |
| Opus 5 | $0.00050 | $0.02056 |
| Sonnet 5 | $0.00020 | $0.00823 |
| Haiku 4.5 | $0.00010 | $0.00411 |
Grade A, and why
micronaut 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 — 540 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Micronaut
Purpose
Build Micronaut applications with compile-time dependency injection, reactive HTTP servers, AOT compilation, GraalVM native image support, and declarative HTTP clients.
Agent Protocol
Trigger
User request includes: Micronaut, micronaut framework, micronaut DI, micronaut reactive, micronaut controller, micronaut client, micronaut native image, micronaut graalvm.
Input Context
- JDK version (17+, 21+)
- Micronaut version (4.x)
- Build tool (Gradle, Maven)
- Database (JDBC, R2DBC, MongoDB)
- Features (Reactive, Declarative Client, AOT, Security)
Output Artifact
Project setup, controller pattern, DI configuration, client setup, native image config.
Response Format
Produce artifact directly. No preamble, no postamble, no explanations. No filler, no hedging.
Completion Criteria
- Application class with @Singleton beans
- Controller with @Get/@Post/@Body/@QueryValue
- Declarative @Client for HTTP calls
- Configuration via @ConfigurationProperties
- Native image configuration for GraalVM
- Reactive endpoints with Mono/Flux
Max Response Length
4096 tokens
Architecture Decision Trees
Micronaut vs Spring Boot vs Quarkus
| Criterion | Micronaut | Spring Boot | Quarkus |
|---|---|---|---|
| Startup time | < 100ms (AOT) | 2-5s (reflection) | < 200ms (AOT) |
| Memory footprint | ~50MB | ~200MB | ~100MB |
| Native image | GraalVM first-class | Spring Native 3+ | GraalVM first-class |
| DI approach | Compile-time (annotation processing) | Runtime (reflection) | Runtime + Quarkus Arc |
| Reactive support | Netty (built-in) | WebFlux | Vert.x |
| Gradle/Maven | Excellent | Excellent | Excellent |
Decision: Fast startup + low memory → Micronaut. Full Spring ecosystem → Spring Boot. Fast + Funqy/extension-first → Quarkus.
Reactive vs Imperative Controllers
| Aspect | Reactive (Mono/Flux) | Imperative (POJO) |
|---|---|---|
| Thread model | Event loop | Request-per-thread |
| Database | R2DBC (reactive) | JDBC (blocking) |
| Error handling | Operators (onErrorReturn) | try/catch |
| Testing | StepVerifier | JUnit assertions |
| Stack depth | Sometimes harder to debug | Predictable |
What ships with it
6 files 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.
- 9d ago First seen · 540 lines · 100 tokens per session scan A d386e4a328b1
micronaut is a skill published in the GitHub repository j4flmao/agent-skills (22 stars, last pushed 3d ago), licensed MIT. It adds 100 tokens to every session and 4,113 once invoked, about $0.0005 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 2026-08-30.
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