What is gemini_qa_loop?

An automated interface-testing loop that builds a Vite web app, captures browser screenshots and a walkthrough video, and sends them to Gemini 3 Flash for visual quality scoring. It records the results and their history.

Use it to build and preview the app, run Playwright end-to-end tests, publish screenshots, record a walkthrough, run Gemini's UI review, and inspect the generated reports.

It finds visual and usability problems through automated browser checks and image review instead of relying only on code tests.

gemini_qa_loop — Cursor rule for Claude Code and Cursor by HomenShum

Install

Getting it into your agent

It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.

Clone the repo

git clone --depth 1 https://github.com/HomenShum/NodeBenchAI

agentmods

npx agentmods add rules/homenshum/nodebenchai/gemini_qa_loop

Made for: Claude Code, Cursor.

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/rules/homenshum/nodebenchai/gemini_qa_loop/github.svg)](https://agentmods.dev/rules/homenshum/nodebenchai/gemini_qa_loop)

Your own site

<a href="https://agentmods.dev/rules/homenshum/nodebenchai/gemini_qa_loop"><img src="https://agentmods.dev/badge/rules/homenshum/nodebenchai/gemini_qa_loop/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/rules/homenshum/nodebenchai/gemini_qa_loop"><img src="https://agentmods.dev/badge/rules/homenshum/nodebenchai/gemini_qa_loop.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 0 Nothing until a file matches its globs; then the whole rule loads.

When invoked 889 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	$0.00000	$0.00889
Opus 5.5	$0.00000	$0.00356
Sonnet 5.5	$0.00000	$0.00178
Haiku 4.5	$0.00000	$0.00089

Measured 1mo ago against content hash 05b86c9342ba, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

gemini_qa_loop 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.

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.

.cursor/rules/gemini_qa_loop.mdc · 86 lines

How it starts

The opening of the file, as written. The whole thing — 86 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Gemini QA Loop — Automated UI/UX Quality Gate

Continuous dogfood loop using Gemini 3 Flash vision to score and fix UI/UX issues automatically.

Pipeline Steps (in order)

# 1. Build production bundle
npx vite build

# 2. Ensure preview server is running (port 4173)
npx vite preview --host 127.0.0.1 --port 4173 &

# 3. Capture screenshots via e2e test
BASE_URL=http://127.0.0.1:4173 npx playwright test tests/e2e/full-ui-dogfood.spec.ts --project=chromium --workers=1

# 4. Publish screenshots to public/dogfood/
npm run dogfood:publish

# 5. Record walkthrough video
node scripts/ui/recordDogfoodWalkthrough.mjs --baseURL http://127.0.0.1:4173 --publish static

# 6. Run Gemini QA (sends screenshots + video to Gemini 3 Flash for scoring)
BASE_URL=http://127.0.0.1:4173 node scripts/ui/runDogfoodGeminiQa.mjs

# 7. Read results
# Score + summary printed to stdout
# Full JSON: .tmp/dogfood-gemini-qa/screens-qa.json and video-qa.json
# History: public/dogfood/qa-results.json

Scoring Formula

Score = 100 - (P1_count × 6) - (P2_count × 2) - (P3_count × 1)

P1: Major polish (low contrast, missing focus state, misleading UI) — 6 pts each
P2: Minor polish (spacing, inconsistent styling, empty state copy) — 2 pts each
P3: Nit (alignment, minor label wording) — 1 pt each

Fix Strategy Per Severity

P1 Fixes (highest ROI — each fix recovers 6 points)

Low contrast text: Check dark mode. Use dark:text-gray-300 minimum.
Missing focus styling: Add focus-visible:ring-2 focus-visible:ring-blue-500.
Missing visual hierarchy: Add left border accent, font weight differentiation, size stepping.
Poor empty states: Add icon + descriptive copy + CTA button.
Misleading labels: Show exact price/data, add tooltips.

P2 Fixes (each recovers 2 points)

Spacing: Standardize gaps. Date formats: Use month: 'short'. Icon contrast: dark:bg-indigo-500/25 min.

Loop Protocol

while score < target:
    1. Read .tmp/dogfood-gemini-qa/screens-qa.json and video-qa.json
    2. Fix all P1s first (highest ROI), then easy P2s
    3. npx vite build && run e2e + publish + record + Gemini QA
    4. Read new score
    5. If 3 consecutive rounds without improvement → change strategy

Read the full file on GitHub · 86 lines

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 First seen · 86 lines · 0 tokens per session scan A 05b86c9342ba

Subscribe to this mod's changes

gemini_qa_loop is a cursor rule published in the GitHub repository HomenShum/NodeBenchAI (15 stars, last pushed today), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 889 tokens. 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 Research Testing agents ai convex entity-intelligence mcp

gemini_qa_loop

Getting it into your agent

Wrote this? Show the measurements

What it costs to keep this loaded

Grade A, and why

Nothing flagged

How it starts

Gemini QA Loop — Automated UI/UX Quality Gate

Pipeline Steps (in order)

Scoring Formula

Fix Strategy Per Severity

P1 Fixes (highest ROI — each fix recovers 6 points)

P2 Fixes (each recovers 2 points)

Loop Protocol

What this file has done since we first saw it

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