What is tauri-mcp-test-runner?

A testing workflow for checking VMark, a desktop application built with Tauri, through its supported automation tools. It runs end-to-end tests, which verify complete user actions through the app interface.

Use it to test VMark actions such as clicking controls, typing, moving the cursor, inserting document text, inspecting windows, and reading application logs.

It provides a repeatable way to check real desktop interactions and collect screenshots or logs when a flow fails.

How xiaolai/vmark configures Claude Code

Reuse

Borrowing it

Nothing to install: this file belongs to xiaolai/vmark. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file

curl -O https://raw.githubusercontent.com/xiaolai/vmark/main/.claude/skills/tauri-mcp-test-runner/SKILL.md

Clone the repo

git clone --depth 1 https://github.com/xiaolai/vmark

Made for: Claude Code.

Wrote 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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/xiaolai/vmark/tauri-mcp-test-runner.svg)](https://agentmods.dev/skills/xiaolai/vmark/tauri-mcp-test-runner)

Your own site

<a href="https://agentmods.dev/skills/xiaolai/vmark/tauri-mcp-test-runner"><img src="https://agentmods.dev/badge/skills/xiaolai/vmark/tauri-mcp-test-runner.svg" alt="Measured on agentmods" height="20"></a>

Per session 54 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 531 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

Origin original No closer match found in the catalogue.

Token cost

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	$0.00054	$0.00531
Opus 5	$0.00027	$0.00266
Sonnet 5	$0.00011	$0.00106
Haiku 4.5	$0.00005	$0.00053

Measured 7d ago against content hash 5e57573e6cf1, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

tauri-mcp-test-runner 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 7d 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.

.claude/skills/tauri-mcp-test-runner/SKILL.md · 49 lines

What it actually says

Tauri MCP Test Runner

Overview

Run VMark end-to-end UI flows using the Tauri MCP tools and summarize results.

Workflow

Confirm the desktop app is running. If not, ask the user to start it.
Start MCP session via mcp__tauri__tauri_driver_session (action: start, port: 9223 or omit for default).
List windows (mcp__tauri__tauri_manage_window action: list) and pick the target window.
Execute test flows using the patterns in references/flows.md.
Capture logs when needed (mcp__tauri__tauri_read_logs) and stop the session when done.
Report results: passed/failed flows, errors, repro steps, and any follow-up fixes.

Key Tools

Tauri MCP Tools (tauri-mcp server)

tauri_driver_session - Start/stop driver session
tauri_webview_screenshot - Capture current state
tauri_webview_keyboard - Send keystrokes (Enter, Escape, shortcuts)
tauri_webview_interact - Click, focus elements
tauri_webview_find_element - Inspect DOM state

VMark MCP Tools (vmark server)

document_insert_at_cursor - Insert text (appears as AI suggestion)
cursor_set_position - Move cursor to position
cursor_get_context - Get surrounding text context
selection_set / selection_get - Manage text selection
format_toggle - Toggle formatting (bold, italic, etc.)

Critical Pattern: AI Content Acceptance

When using vmark MCP to insert content, it appears as an AI suggestion that must be accepted with Enter via tauri-mcp:

1. vmark: document_insert_at_cursor("text")
2. tauri: keyboard(action: "press", key: "Enter")   # Accept
3. tauri: keyboard(action: "press", key: "Escape")  # Dismiss follow-up

This pattern is required for all content insertion operations.

References

Load references/flows.md for detailed flow patterns and examples.

Files

What ships with it

1 file 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.

references/flows.md 2.5 KB

Changes

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.

7d ago First seen · 49 lines · 54 tokens per session scan A 5e57573e6cf1

Subscribe to this mod's changes

tauri-mcp-test-runner is a skill published in the GitHub repository xiaolai/vmark (552 stars, last pushed yesterday), licensed ISC. It adds 54 tokens to every session and 531 once invoked, about $0.0003 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.

E2E testing Testing

dogfood

Systematically explore and test a mobile app on iOS/Android with agent-device to find bugs, UX issues, and other problems. Use when asked to dogfood, QA, exploratory test, find issues, bug hunt, or test this app on mobile.

callstack/agent-device · 55 tokens

test-warp-ui

Guides testing Warp UI features and changes using the computer use tool. Use this skill only when computer-use testing was requested (explicit request or accepted offer) and the computeruse tool is available to the agent. Covers launching Warp and verifying UI behavior.

warpdotdev/warp · 55 tokens

test-electron-app

Drive the real running PostHog Electron app (live tRPC, workspace-server, real data) over CDP with agent-browser. Connect to the running app on port 9222, test desktop changes against a local Django stack, snapshot the accessibility tree, inspect network requests, and screenshot only when explicitly asked. Use when…

PostHog/posthog-foss · 112 tokens

pyats-dynamic-test

Generate and execute deterministic pyATS aetest validation scripts - interface state, OSPF neighbors, BGP paths, ping matrices, and custom compliance tests. Use when writing a network test, validating post-change state, running pass/fail checks, or building automated regression tests.

automateyournetwork/netclaw · 61 tokens

trailblaze

Use when working with Trailblaze — natural-language device control for coding agents across iOS, Android, and web, with replayable .trail.yaml files as the artifact. Trigger on mentions of Trailblaze, the trailblaze CLI, .trail.yaml files, trailmaps, waypoints, or requests to drive / author / debug / run UI tests on…

block/trailblaze · 115 tokens

Detox Mobile Testing

Gray-box end-to-end testing for React Native apps with Detox. Covers .detoxrc.js configuration, build and test commands, matchers, device.launchApp control, automatic synchronization, and macOS CI pipelines.

PramodDutta/qaskills · 48 tokens

vmark: Skill for Claude Code