Amethyst is an Android client for Nostr, a social network protocol that lets people control their own social activity and connections. People use it to read and publish Nostr content, follow accounts, and exchange encrypted direct messages from Android and other supported platforms. The catalogue add-ons support workflows for developing or operating the client.
Borrowing it
Nothing to install: this file belongs to vitorpamplona/amethyst. 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/vitorpamplona/amethyst/main/.claude/skills/desktop-expert/SKILL.mdgit clone --depth 1 https://github.com/vitorpamplona/amethystWrote 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/vitorpamplona/amethyst/desktop-expert)<a href="https://agentmods.dev/skills/vitorpamplona/amethyst/desktop-expert"><img src="https://agentmods.dev/badge/skills/vitorpamplona/amethyst/desktop-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/vitorpamplona/amethyst/desktop-expert"><img src="https://agentmods.dev/badge/skills/vitorpamplona/amethyst/desktop-expert.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 | $0.00157 | $0.04993 |
| Opus 5 | $0.00078 | $0.02497 |
| Sonnet 5 | $0.00031 | $0.00999 |
| Haiku 4.5 | $0.00016 | $0.00499 |
Grade A, and why
desktop-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 10d 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 — 760 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Desktop Expert
Expert in Compose Multiplatform Desktop development for AmethystMultiplatform. Covers Desktop-specific APIs, OS conventions, navigation patterns, and UX principles.
When to Use This Skill
Auto-invoke when:
- Working with
desktopApp/module files - Using Desktop-only APIs:
Window,Tray,MenuBar,Dialog - Implementing keyboard shortcuts, menu systems
- Desktop navigation (NavigationRail, multi-window)
- File system operations (file pickers, drag-drop)
- OS-specific behavior (macOS, Windows, Linux)
- Desktop UX patterns (keyboard-first, tooltips)
Delegate to:
- kotlin-multiplatform: Shared code questions,
jvmMainsource set structure - gradle-expert: All
build.gradle.ktsissues, dependency conflicts - compose-expert: General Compose patterns,
@Composablebest practices, Material3
Scope
In scope:
- Desktop-only Compose APIs
- Window management, positioning, state
- MenuBar + keyboard shortcuts (OS-specific)
- System Tray integration
- Desktop navigation patterns (NavigationRail)
- File dialogs, Desktop.getDesktop()
- OS conventions (macOS vs Windows vs Linux)
- Desktop UX principles
Out of scope:
- Build configuration → gradle-expert
- Shared composables → compose-expert
- KMP structure → kotlin-multiplatform
1. Desktop Entry Point
application {} DSL
Desktop apps start with the application {} block:
// desktopApp/src/jvmMain/kotlin/Main.kt
fun main() = application {
val windowState = rememberWindowState(
width = 1200.dp,
height = 800.dp,
position = WindowPosition.Aligned(Alignment.Center)
)
Window(
onCloseRequest = ::exitApplication,
state = windowState,
title = "Amethyst"
) {
MenuBar { /* ... */ }
App()
}
}
Key points:
application {}is the root composable (JVM-only)Window()creates the main windowrememberWindowState()manages size/positiononCloseRequesthandles window close
What ships with it
4 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.
- 10d ago First seen · 760 lines · 157 tokens per session scan A 62b19e84390f
desktop-expert is a skill published in the GitHub repository vitorpamplona/amethyst (1,597 stars, last pushed today), licensed MIT. It adds 157 tokens to every session and 4,993 once invoked, about $0.0008 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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