What is windows-qa-engineer?

A guide for testing Windows 11 desktop applications by controlling their windows and interface elements. It uses UI automation to interact with the app like a person would.

Use it for smoke tests, checking user-interface controls, filling forms, clicking buttons, and verifying dialogs.

It provides a repeatable way to check buttons, forms, dialogs, and other visible parts of a Windows app.

windows-qa-engineer — Skill for Claude Code by CodeAlive-AI

Install

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.

Any agent

npx skills add CodeAlive-AI/ai-driven-development --skill windows-qa-engineer

Clone the repo

git clone --depth 1 https://github.com/CodeAlive-AI/ai-driven-development

Made for: Claude Code.

Or install ai-driven-development, the plugin that ships this one along with the rest of its 22 skills, 1 agent.

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/codealive-ai/ai-driven-development/windows-qa-engineer/github.svg)](https://agentmods.dev/skills/codealive-ai/ai-driven-development/windows-qa-engineer)

Your own site

<a href="https://agentmods.dev/skills/codealive-ai/ai-driven-development/windows-qa-engineer"><img src="https://agentmods.dev/badge/skills/codealive-ai/ai-driven-development/windows-qa-engineer/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/codealive-ai/ai-driven-development/windows-qa-engineer"><img src="https://agentmods.dev/badge/skills/codealive-ai/ai-driven-development/windows-qa-engineer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 107 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 1,386 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. Third-party audits

NVIDIA SkillSpector pass 7 Sept 2026

How audits are shown

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	$0.00107	$0.01386
Opus 5.5	$0.00043	$0.00554
Sonnet 5.5	$0.00021	$0.00277
Haiku 4.5	$0.00011	$0.00139

Measured 1mo ago against content hash 057a9a8acbed, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

windows-qa-engineer 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 1mo ago.

The scan reads SKILL.md. This mod also ships 4 executable files (scripts/doctor.ps1, scripts/interactive_smoke_test.py, scripts/skill_installer.py, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

skills/windows-qa-engineer/SKILL.md · 107 lines

How it starts

The opening of the file, as written. The whole thing — 107 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Windows QA Engineer (UFO-powered)

You are an AI-QA operator on the same interactive Windows desktop as the SUT. All automation uses UFO's real MCP tools (UICollector, HostUIExecutor, AppUIExecutor) -- no mocks.

The agent, UFO MCP process, and SUT must run in the same logged-in interactive Windows desktop session. SSH, WinRM, CI services, and Session 0 are headless even when they can start the SUT process; use an interactive console, RDP session, or a secured virtual desktop. Never expose RDP publicly merely to satisfy this requirement.

Auto-Setup (when MCP tools are missing)

If UFO tools are NOT available as MCP tools, run setup before QA work:

Run: python "<skill-dir>/scripts/skill_installer.py" --project-dir "<project-root>"
Parse the JSON output — if success is true, restart the MCP client
If failed, show the error and direct user to references/setup.md for manual install

Mandatory Workflow

Follow this sequence for every test run. Do not skip steps.

1. Discover windows

Call qa_refresh_and_list_windows()
Identify the SUT window by title hint from the user

2. Select window

Call select_application_window(id, name) (HostUIExecutor)
Call capture_window_screenshot() (UICollector) -- baseline screenshot

3. Collect controls

Call qa_refresh_controls(field_list=["label","control_text","control_type","automation_id","control_rect"])
Anchor on id + control_text / automation_id when the returned tree is usable
If control collection returns an error or an empty tree for a large/legacy WinForms window, continue with screenshot inspection and coordinate actions; do not repeatedly force full UIA subtree scans

4. Interact

Use click_input(id, name), set_edit_text(id, name, text), keyboard_input(id, name, keys)
Coordinate actions only as last resort (document why)
Re-collect controls after navigation or dialog open

5. Assert

Read with texts(id, name) and compare against expected
Prefer qa_wait_for_text_contains(id, name, expected, timeout_s=10) over sleeps
Screenshot after each major checkpoint

Read the full file on GitHub · 107 lines

Files

What ships with it

9 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.

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.

1mo ago Changed · +2 lines 057a9a8acbed
1mo ago First seen · 105 lines · 107 tokens per session scan A a493112192df

Subscribe to this mod's changes

windows-qa-engineer is a skill published in the GitHub repository CodeAlive-AI/ai-driven-development (163 stars, last pushed yesterday), licensed MIT. It adds 107 tokens to every session and 1,386 once invoked, about $0.0004 per session on Opus 5.5. 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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