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 bobmatnyc/claude-mpm-skills --skill desktop-applicationsgit clone --depth 1 https://github.com/bobmatnyc/claude-mpm-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/bobmatnyc/claude-mpm-skills/desktop-applications)<a href="https://agentmods.dev/skills/bobmatnyc/claude-mpm-skills/desktop-applications"><img src="https://agentmods.dev/badge/skills/bobmatnyc/claude-mpm-skills/desktop-applications/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/bobmatnyc/claude-mpm-skills/desktop-applications"><img src="https://agentmods.dev/badge/skills/bobmatnyc/claude-mpm-skills/desktop-applications.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 | $0.00019 | $0.02360 |
| Opus 5 | $0.00010 | $0.01180 |
| Sonnet 5 | $0.00004 | $0.00472 |
| Haiku 4.5 | $0.00002 | $0.00236 |
Grade A, and why
desktop-applications 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 8d 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 — 229 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Rust Desktop Applications
Overview
Rust has emerged as a premier language for building desktop applications that combine native performance with memory safety. The ecosystem offers two main approaches: Tauri for hybrid web UI + Rust backend apps (think Electron but 10x smaller and faster), and native GUI frameworks like egui, iced, and slint for pure Rust interfaces.
Tauri has revolutionized desktop development by enabling developers to use web technologies (React, Vue, Svelte) for the frontend while leveraging Rust's performance and safety for system-level operations. With bundle sizes under 5MB and memory usage 1/10th of Electron, Tauri apps deliver desktop-class performance. Native frameworks shine for specialized use cases: egui for immediate-mode tools and game editors, iced for Elm-style reactive apps, slint for embedded and declarative UIs.
This skill covers the complete Rust desktop development lifecycle from framework selection through architecture, state management, platform integration, and deployment. You'll build production-ready applications with proper IPC patterns, async runtime integration, native system access, and cross-platform distribution.
When to Use This Skill
Activate when building desktop applications that need native performance, small bundle sizes, system integration, or memory safety guarantees. Specifically use when:
- Building Electron alternatives with web UI + Rust backend (Tauri)
- Creating high-performance developer tools or productivity apps
- Developing system utilities requiring native OS integration
- Building cross-platform apps for Windows, macOS, and Linux
- Need <10MB bundle sizes vs 100MB+ Electron apps
- Implementing real-time applications (audio/video processing, games)
- Creating embedded GUI applications (kiosks, IoT devices)
Don't Use When
- Simple web apps - Use Next.js, Vite, or web frameworks
- Mobile-first applications - Use Flutter, React Native, or Kotlin Multiplatform
- Purely CLI tools - Use clap/structopt for command-line apps
- Browser extensions - Use WebExtensions API
- Quick prototypes - Native development has setup overhead
- Team lacks Rust experience - Steep learning curve for system programming
What ships with it
7 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.
- 8d ago First seen · 229 lines · 19 tokens per session scan A b9b847942c3d
desktop-applications is a skill published in the GitHub repository bobmatnyc/claude-mpm-skills (74 stars, last pushed 1mo ago), licensed MIT. It adds 19 tokens to every session and 2,360 once invoked, about $0.0001 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.
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