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 vasilyu1983/AI-Agents-public --skill software-desktopgit clone --depth 1 https://github.com/vasilyu1983/AI-Agents-publicWrote 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/vasilyu1983/ai-agents-public/software-desktop)<a href="https://agentmods.dev/skills/vasilyu1983/ai-agents-public/software-desktop"><img src="https://agentmods.dev/badge/skills/vasilyu1983/ai-agents-public/software-desktop/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/vasilyu1983/ai-agents-public/software-desktop"><img src="https://agentmods.dev/badge/skills/vasilyu1983/ai-agents-public/software-desktop.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 | $0.00038 | $0.05686 |
| Opus 5 | $0.00019 | $0.02843 |
| Sonnet 5 | $0.00008 | $0.01137 |
| Haiku 4.5 | $0.00004 | $0.00569 |
Grade A, and why
software-desktop 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 — 311 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Desktop Application Development
Build cross-platform and native desktop apps with correct architecture, security defaults, and distribution pipelines.
Quick Reference
| Need | Recommended Tool / Framework |
|---|---|
| Cross-platform (JS/TS) | Electron — mature ecosystem, large community, Chromium-based |
| Cross-platform (Rust + Web) | Tauri — smaller bundles, stronger security model, OS webview, also targets iOS/Android from the same codebase (stable since Tauri 2.0, Oct 2024) |
| Cross-platform (Dart) | Flutter Desktop — shared mobile/desktop codebase; strongest on macOS, Windows/Linux slightly behind on package maturity |
| Cross-platform (.NET) | .NET MAUI — Windows (WinUI 3 host) + macOS (Mac Catalyst) only; no native Linux desktop target as of mid-2026 (an Avalonia-powered Linux/browser backend is in preview) |
| Cross-platform (Kotlin) | Compose Multiplatform — shared Android/desktop UI |
| Native macOS | SwiftUI (default for new apps) + AppKit interop for advanced window/menu chrome |
| Native Windows | WPF for mature Windows-only line-of-business apps (Microsoft ships it, but it's in maintenance mode); WinUI 3 for a modern Windows 11 look, at the cost of a thinner control/answer ecosystem |
| Native Linux | GTK (GNOME), Qt (KDE) |
| Auto-update | electron-updater (NSIS target) or Tauri's built-in updater; Sparkle 2 (macOS); avoid Squirrel.Windows for new work — unmaintained, superseded by NSIS |
| Code signing | Apple notarization via notarytool; Windows Authenticode via Azure Artifact Signing (formerly "Trusted Signing") or a traditional EV/OV cert; Linux (distro-specific) |
| Installers | electron-builder, Tauri bundler, create-dmg, Inno Setup, NSIS, AppImage/Flatpak/Snap |
| Tauri 2 capability system, plugin breaks, WebView2, EU Accessibility Act | references/tauri-2-migration.md |
| Verify .app codesign + notarization | scripts/check_signing.sh |
What ships with it
11 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.
- agents/openai.yaml 366 B
- data/sources.json 5.1 KB
- evals/evals.json 5.0 KB
- learnings.consolidated.md 592 B
- learnings.md 580 B
- references/april-platform-traps.md 22 KB
- references/distribution-and-signing.md 2.9 KB
- references/framework-selection.md 2.9 KB
- references/tauri-2-migration.md 8.1 KB
- scripts/check_signing_readiness.py 7.6 KB runs code
- scripts/check_signing.sh 4.6 KB runs code
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 · 311 lines · 38 tokens per session scan A 63e895a85912
software-desktop is a skill published in the GitHub repository vasilyu1983/AI-Agents-public (87 stars, last pushed 10d ago), licensed MIT. It adds 38 tokens to every session and 5,686 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 2026-09-03.
Other skills, from other repositories
nft-standards
Implement NFT standards (ERC-721, ERC-1155) with proper metadata handling, minting strategies, and marketplace integration. Use when creating NFT contracts, building NFT marketplaces, or implementing digital asset systems.
istio-traffic-management
Configure Istio traffic management including routing, load balancing, circuit breakers, and canary deployments. Use when implementing service mesh traffic policies, progressive delivery, or resilience patterns.
projection-patterns
Build read models and projections from event streams. Use when implementing CQRS read sides, building materialized views, or optimizing query performance in event-sourced systems.
microservices-patterns
Design microservices architectures with service boundaries, event-driven communication, and resilience patterns. Use when building distributed systems, decomposing monoliths, or implementing microservices.
track-management
Use this skill when creating, managing, or working with Conductor tracks - the logical work units for features, bugs, and refactors. Applies to spec.md, plan.md, and track lifecycle operations.
make-pr-easy-to-review
Prepare PRs for review by cleaning noisy history, improving PR descriptions, and adding reviewer guidance without changing code behavior. Use for "make this easy to review", "tidy this PR", "clean up commits", or "annotate the diff".