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Tauri V2 Integration

Checked
xiaolai·vlatest·frontend·ISC

Integrates Xiaolai's AI with Tauri v2 applications for enhanced functionality and custom user experiences.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add xiaolai/vmark --skill tauri-v2-integration -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

xiaolai

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned xiaolai/vmark at 241a25302e.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
241a25302e
Manifest
.claude/skills/tauri-v2-integration/SKILL.md
Scanned
3 files, 48 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

This skill integrates the Tauri v2 framework into the xiaolai/vmark AI agent, enabling the creation of native desktop applications with a web-based frontend. It allows the agent to leverage Rust for system-level performance while maintaining a responsive UI through web technologies.

When to use it

  • You need to deploy an AI agent as a standalone desktop application rather than a browser extension or web service.
  • Your project requires high-performance native operations handled by Rust alongside a JavaScript/TypeScript frontend.
  • You want to build cross-platform applications (Windows, macOS, Linux) with minimal development overhead using web standards.

Key capabilities

  • Native Desktop Build: Compiles the agent into a single binary for each target platform without requiring a browser engine like Chromium or WebKit.
  • Rust Backend Integration: Utilizes Rust for secure and efficient system-level code execution within the application logic.
  • Web Frontend Support: Renders the user interface using standard web technologies (HTML, CSS, JavaScript) inside the native window.

Example prompts

  • "Initialize a new Tauri v2 project structure for the vmark agent to support desktop deployment."
  • "Configure the Rust backend dependencies required for the AI agent to process local files securely."
  • "Set up the web frontend integration so the vmark UI renders correctly within the native Tauri window."

Tips & gotchas

Ensure you have the latest version of the Tauri CLI and Rust toolchain installed before attempting integration, as v2 introduces breaking changes from previous versions. Be mindful that system tray icons and deep system permissions may require specific configuration files to function correctly on different operating systems.