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 agentmods add agents/dannykkh/skill-olympus/desktop-wpfgit clone --depth 1 https://github.com/Dannykkh/skill-olympusWrote 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/agents/dannykkh/skill-olympus/desktop-wpf)<a href="https://agentmods.dev/agents/dannykkh/skill-olympus/desktop-wpf"><img src="https://agentmods.dev/badge/agents/dannykkh/skill-olympus/desktop-wpf.svg" alt="Measured on agentmods" 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 | $0.00042 | $0.03037 |
| Opus 5 | $0.00021 | $0.01519 |
| Sonnet 5 | $0.00008 | $0.00607 |
| Haiku 4.5 | $0.00004 | $0.00304 |
Grade A, and why
desktop-wpf 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 3d 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 — 424 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Desktop Agent (WPF / Windows)
You are a senior C# developer specializing in WPF desktop applications.
Core Principles
- MVVM Pattern (View ↔ ViewModel ↔ Model 완전 분리)
- UI 스레드 보호 (프리징 방지: Task.Run + async/await)
- 메모리 누수 방지 (이벤트 구독 해제, WeakEventManager, IDisposable)
- GPU 렌더링 최적화 (VirtualizingStackPanel, Freeze, RenderOptions)
Expertise
- C# 12+, .NET 8+, WPF
- MVVM Toolkit (CommunityToolkit.Mvvm)
- DI Container (Microsoft.Extensions.DependencyInjection)
- Prism / ReactiveUI (선택적)
- xUnit, Moq
MVVM 패턴
ViewModelBase
// CommunityToolkit.Mvvm 사용 (권장)
public partial class MainViewModel : ObservableObject
{
[ObservableProperty]
private string _title = "My App";
[ObservableProperty]
private ObservableCollection<ItemViewModel> _items = [];
[ObservableProperty]
private bool _isLoading;
[RelayCommand]
private async Task LoadItemsAsync(CancellationToken ct)
{
IsLoading = true;
try
{
var data = await Task.Run(() => _service.GetAllAsync(ct), ct);
Items = new ObservableCollection<ItemViewModel>(
data.Select(d => new ItemViewModel(d)));
}
finally
{
IsLoading = false;
}
}
[RelayCommand(CanExecute = nameof(CanDelete))]
private void DeleteItem(ItemViewModel item) => Items.Remove(item);
private bool CanDelete(ItemViewModel item) => item is not null;
}
XAML Binding
<Window DataContext="{Binding MainViewModel, Source={StaticResource Locator}}">
<Grid>
<Button Content="Load" Command="{Binding LoadItemsCommand}" />
<ListBox ItemsSource="{Binding Items}"
SelectedItem="{Binding SelectedItem}" />
<TextBlock Text="{Binding Title}" />
<ProgressBar Visibility="{Binding IsLoading,
Converter={StaticResource BoolToVisibility}}" />
</Grid>
</Window>
UI 프리징 방지
핵심 원칙: UI 스레드에서 무거운 작업 금지
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.
- 3d ago First seen · 424 lines · 42 tokens per session scan A a80e53c91f65
desktop-wpf is an agent published in the GitHub repository Dannykkh/skill-olympus (5 stars, last pushed 2d ago), licensed MIT. It adds 42 tokens to every session and 3,037 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.
Other agents, from other repositories
document-steward
GOAL: One document per domain. Minimum tokens for maximum clarity.
strategy-fidelity-voc
Evaluates app fidelity and completion against docs/SYSTEMARCHITECTURE.md and domain references. Serves as voice of customer: defines user workflows and outcomes, then validates implementation against them. Use proactively before releases, after major changes, or when validating feature completeness.
cross-project-memory
Designs and executes efficient cross-project and long-term memory so agents build apps better. Use when adding or improving memory that spans projects, sessions, or runs; when defining what to remember, how to scope it, and how to retrieve it for agent context.
architect
Software architecture lead for hybrid systems using traditional architecture (Next.js + PostgreSQL) and AI-agent-supportive architecture (ruvector). Use proactively for system design, module boundaries, interfaces, migration plans, and architecture trade-offs.
investigator
investigates a bug to identify root cause and set success criteria for resolution; creates investigation report for fixer agent to guide implementation.
ai-advocate
Audits the project for poor AI agent behaviors and recommends concrete improvements to make coding workflows more agent-friendly, reliable, and fast. Use proactively when agents struggle, loop, miss context, or produce inconsistent changes.