Borrowing it
Nothing to install: this file belongs to varandrew/moor. 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/varandrew/moor/main/.agents/skills/tauri-v2/SKILL.mdgit clone --depth 1 https://github.com/varandrew/moorWrote 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/varandrew/moor/tauri-v2)<a href="https://agentmods.dev/skills/varandrew/moor/tauri-v2"><img src="https://agentmods.dev/badge/skills/varandrew/moor/tauri-v2.svg" alt="Measured on agentmods" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium MCP Rug Pull · line 506 npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.Fix: Pin the version: npx @scope/[email protected]
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 | $0.00080 | $0.04200 |
| Opus 5 | $0.00040 | $0.02100 |
| Sonnet 5 | $0.00016 | $0.00840 |
| Haiku 4.5 | $0.00008 | $0.00420 |
Grade A, and why
tauri-v2 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- tauri-v2 — 100% identical, 147 lines differ
How it starts
The opening of the file, as written. The whole thing — 511 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Tauri v2+ Development Skill
Build cross-platform desktop and mobile apps with web frontends and Rust backends.
Before You Start
This skill prevents 8+ common errors and saves ~60% tokens.
| Metric | Without Skill | With Skill |
|---|---|---|
| Setup Time | ~2 hours | ~30 min |
| Common Errors | 8+ | 0 |
| Token Usage | High (exploration) | Low (direct patterns) |
Known Issues This Skill Prevents
- Permission denied errors from missing capabilities
- IPC failures from unregistered commands in
generate_handler! - State management panics from type mismatches
- Mobile build failures from missing Rust targets
- White screen issues from misconfigured dev URLs
Quick Start
Step 1: Create a Tauri Command
// src-tauri/src/lib.rs
#[tauri::command]
fn greet(name: String) -> String {
format!("Hello, {}!", name)
}
#[cfg_attr(mobile, tauri::mobile_entry_point)]
pub fn run() {
tauri::Builder::default()
.invoke_handler(tauri::generate_handler![greet])
.run(tauri::generate_context!())
.expect("error while running tauri application");
}
Why this matters: Commands not in generate_handler![] silently fail when invoked from frontend.
main.rsstays thin:src-tauri/src/main.rsshould only be a thin passthrough — all application logic lives inlib.rs:// src-tauri/src/main.rs #![cfg_attr(not(debug_assertions), windows_subsystem = "windows")] fn main() { app_lib::run(); }This split is required for mobile builds — Tauri replaces
main()withmobile_entry_pointon mobile targets.
Step 2: Call from Frontend
import { invoke } from "@tauri-apps/api/core";
const greeting = await invoke<string>("greet", { name: "World" });
console.log(greeting); // "Hello, World!"
Why this matters: Use @tauri-apps/api/core (not @tauri-apps/api/tauri - that's v1 API).
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 · 511 lines · 80 tokens per session scan A 366fadca46ac
tauri-v2 is a skill published in the GitHub repository varandrew/moor (199 stars, last pushed 5d ago), licensed Apache-2.0. It adds 80 tokens to every session and 4,200 once invoked, about $0.0004 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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