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Tauri Mcp Test Runner

Checked
xiaolai·vlatest·agents·ISC

Helps with MCP tools, testing as part of orchestrating AI agents and multi-step workflows workflows.

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-mcp-test-runner -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.

Scanned
2 files, 114 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

The tauri-mcp-test-runner skill enables AI agents to execute Tauri application tests via a Model Context Protocol (MCP) server. It bridges testing frameworks with LLMs, allowing automated validation of desktop applications built with the Tauri framework.

When to use it

  • Automate regression testing for Tauri-based desktop apps during CI/CD pipelines.
  • Enable AI agents to debug UI interactions or verify backend logic in Rust/WASM apps.
  • Integrate test execution into conversational workflows where manual testing is impractical.
  • Validate app builds before deployment by running headless browser or unit tests programmatically.

Key capabilities

  • Runs Tauri-specific test suites through MCP-compatible interfaces.
  • Supports integration with common testing tools like Playwright, Jest, or Vitest (inferred from Tauri ecosystem).
  • Provides structured output for AI agents to interpret test results and take corrective actions.

Example prompts

  • "Run the full test suite on my Tauri app and summarize any failures."
  • "Execute only the login flow tests and report pass/fail status with screenshots if available."
  • "Debug why the checkout button isn't triggering in my Tauri app by running relevant UI tests."

Tips & gotchas

Ensure your Tauri project has a compatible test configuration (e.g., tauri.conf.json with test plugins). The skill may require prior setup of an MCP server endpoint to function correctly.