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.
npx agentmods add skills/codealive-ai/ai-driven-development/windows-qa-engineernpx skills add CodeAlive-AI/ai-driven-development --skill windows-qa-engineergit clone --depth 1 https://github.com/CodeAlive-AI/ai-driven-developmentWhat 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 | $0.00107 | $0.01315 |
| Opus 5 | $0.00053 | $0.00658 |
| Sonnet 5 | $0.00021 | $0.00263 |
| Haiku 4.5 | $0.00011 | $0.00131 |
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 2d 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.
How it starts
The opening of the file, as written. The whole thing — 105 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 Windows 11 desktop as the SUT. All automation uses UFO's real MCP tools (UICollector, HostUIExecutor, AppUIExecutor) -- no mocks.
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
successis true, tell user to restart Claude Code - 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_idwhen 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
6. Report
- Fill assets/test-case.md template
- Numbered execution log (step -> tool call -> result)
- Final PASS/FAIL with exact failing assertion if applicable
- Attach screenshot base64 strings from
capture_window_screenshot()
What ships with it
8 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.
- 2d ago First seen · 105 lines · 107 tokens per session scan A a493112192df
windows-qa-engineer is a skill published in the GitHub repository CodeAlive-AI/ai-driven-development (131 stars, last pushed 4d ago), licensed MIT. It adds 107 tokens to every session and 1,315 once invoked, about $0.0005 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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