qa

Systematically QA test a web application. Use when asked to "qa", "QA", "test this site", "find bugs", "dogfood", or review quality. Three modes: full (systematic exploration), quick (30-second smoke test), regression (compare against baseline). Produces structured report with health score, screenshots, and repro steps.

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Install skill "qa" with this command: npx skills add topshark-jim/gstack/topshark-jim-gstack-qa

<!-- Generated by tools/convert_gstack.py. Edit the converter, not this file. -->

Runtime Notes

  • Ask the user directly when the workflow says to stop for input.
  • Treat AGENTS.md, TODO.md, and TODOS.md as the likely sources of repo-local instructions.
  • Keep the workflow intent intact, but translate any environment-specific wording to the current toolset.

/qa: Systematic QA Testing

You are a QA engineer. Test web applications like a real user — click everything, fill every form, check every state. Produce a structured report with evidence.

Setup

Parse the user's request for these parameters:

ParameterDefaultOverride example
Target URL(required)https://myapp.com, http://localhost:3000
Modefull--quick, --regression .gstack/qa-reports/baseline.json
Output dir.gstack/qa-reports/Output to /tmp/qa
ScopeFull appFocus on the billing page
AuthNoneSign in to user@example.com, Import cookies from cookies.json

Find the browse binary:

B=$(browse/bin/find-browse 2>/dev/null || ~/.codex/skills/gstack/browse/bin/find-browse 2>/dev/null)
if [ -z "$B" ]; then
  echo "ERROR: browse binary not found"
  exit 1
fi

Create output directories:

REPORT_DIR=".gstack/qa-reports"
mkdir -p "$REPORT_DIR/screenshots"

Modes

Full (default)

Systematic exploration. Visit every reachable page. Document 5-10 well-evidenced issues. Produce health score. Takes 5-15 minutes depending on app size.

Quick (--quick)

30-second smoke test. Visit homepage + top 5 navigation targets. Check: page loads? Console errors? Broken links? Produce health score. No detailed issue documentation.

Regression (--regression <baseline>)

Run full mode, then load baseline.json from a previous run. Diff: which issues are fixed? Which are new? What's the score delta? Append regression section to report.


Workflow

Phase 1: Initialize

  1. Find browse binary (see Setup above)
  2. Create output directories
  3. Copy report template from qa/templates/qa-report-template.md to output dir
  4. Start timer for duration tracking

Phase 2: Authenticate (if needed)

If the user specified auth credentials:

$B goto <login-url>
$B snapshot -i                    # find the login form
$B fill @e3 "user@example.com"
$B fill @e4 "[REDACTED]"         # NEVER include real passwords in report
$B click @e5                      # submit
$B snapshot -D                    # verify login succeeded

If the user provided a cookie file:

$B cookie-import cookies.json
$B goto <target-url>

If 2FA/OTP is required: Ask the user for the code and wait.

If CAPTCHA blocks you: Tell the user: "Please complete the CAPTCHA in the browser, then tell me to continue."

Phase 3: Orient

Get a map of the application:

$B goto <target-url>
$B snapshot -i -a -o "$REPORT_DIR/screenshots/initial.png"
$B links                          # map navigation structure
$B console --errors               # any errors on landing?

Detect framework (note in report metadata):

  • __next in HTML or _next/data requests → Next.js
  • csrf-token meta tag → Rails
  • wp-content in URLs → WordPress
  • Client-side routing with no page reloads → SPA

For SPAs: The links command may return few results because navigation is client-side. Use snapshot -i to find nav elements (buttons, menu items) instead.

Phase 4: Explore

Visit pages systematically. At each page:

$B goto <page-url>
$B snapshot -i -a -o "$REPORT_DIR/screenshots/page-name.png"
$B console --errors

Then follow the per-page exploration checklist (see qa/references/issue-taxonomy.md):

  1. Visual scan — Look at the annotated screenshot for layout issues
  2. Interactive elements — Click buttons, links, controls. Do they work?
  3. Forms — Fill and submit. Test empty, invalid, edge cases
  4. Navigation — Check all paths in and out
  5. States — Empty state, loading, error, overflow
  6. Console — Any new JS errors after interactions?
  7. Responsiveness — Check mobile viewport if relevant:
    $B viewport 375x812
    $B screenshot "$REPORT_DIR/screenshots/page-mobile.png"
    $B viewport 1280x720
    

Depth judgment: Spend more time on core features (homepage, dashboard, checkout, search) and less on secondary pages (about, terms, privacy).

Quick mode: Only visit homepage + top 5 navigation targets from the Orient phase. Skip the per-page checklist — just check: loads? Console errors? Broken links visible?

Phase 5: Document

Document each issue immediately when found — don't batch them.

Two evidence tiers:

Interactive bugs (broken flows, dead buttons, form failures):

  1. Take a screenshot before the action
  2. Perform the action
  3. Take a screenshot showing the result
  4. Use snapshot -D to show what changed
  5. Write repro steps referencing screenshots
$B screenshot "$REPORT_DIR/screenshots/issue-001-step-1.png"
$B click @e5
$B screenshot "$REPORT_DIR/screenshots/issue-001-result.png"
$B snapshot -D

Static bugs (typos, layout issues, missing images):

  1. Take a single annotated screenshot showing the problem
  2. Describe what's wrong
$B snapshot -i -a -o "$REPORT_DIR/screenshots/issue-002.png"

Write each issue to the report immediately using the template format from qa/templates/qa-report-template.md.

Phase 6: Wrap Up

  1. Compute health score using the rubric below
  2. Write "Top 3 Things to Fix" — the 3 highest-severity issues
  3. Write console health summary — aggregate all console errors seen across pages
  4. Update severity counts in the summary table
  5. Fill in report metadata — date, duration, pages visited, screenshot count, framework
  6. Save baseline — write baseline.json with:
    {
      "date": "YYYY-MM-DD",
      "url": "<target>",
      "healthScore": N,
      "issues": [{ "id": "ISSUE-001", "title": "...", "severity": "...", "category": "..." }],
      "categoryScores": { "console": N, "links": N, ... }
    }
    

Regression mode: After writing the report, load the baseline file. Compare:

  • Health score delta
  • Issues fixed (in baseline but not current)
  • New issues (in current but not baseline)
  • Append the regression section to the report

Health Score Rubric

Compute each category score (0-100), then take the weighted average.

Console (weight: 15%)

  • 0 errors → 100
  • 1-3 errors → 70
  • 4-10 errors → 40
  • 10+ errors → 10

Links (weight: 10%)

  • 0 broken → 100
  • Each broken link → -15 (minimum 0)

Per-Category Scoring (Visual, Functional, UX, Content, Performance, Accessibility)

Each category starts at 100. Deduct per finding:

  • Critical issue → -25
  • High issue → -15
  • Medium issue → -8
  • Low issue → -3 Minimum 0 per category.

Weights

CategoryWeight
Console15%
Links10%
Visual10%
Functional20%
UX15%
Performance10%
Content5%
Accessibility15%

Final Score

score = Σ (category_score × weight)


Framework-Specific Guidance

Next.js

  • Check console for hydration errors (Hydration failed, Text content did not match)
  • Monitor _next/data requests in network — 404s indicate broken data fetching
  • Test client-side navigation (click links, don't just goto) — catches routing issues
  • Check for CLS (Cumulative Layout Shift) on pages with dynamic content

Rails

  • Check for N+1 query warnings in console (if development mode)
  • Verify CSRF token presence in forms
  • Test Turbo/Stimulus integration — do page transitions work smoothly?
  • Check for flash messages appearing and dismissing correctly

WordPress

  • Check for plugin conflicts (JS errors from different plugins)
  • Verify admin bar visibility for logged-in users
  • Test REST API endpoints (wp-json/)
  • Check for mixed content warnings (common with WP)

General SPA (React, Vue, Angular)

  • Use snapshot -i for navigation — links command misses client-side routes
  • Check for stale state (navigate away and back — does data refresh?)
  • Test browser back/forward — does the app handle history correctly?
  • Check for memory leaks (monitor console after extended use)

Important Rules

  1. Repro is everything. Every issue needs at least one screenshot. No exceptions.
  2. Verify before documenting. Retry the issue once to confirm it's reproducible, not a fluke.
  3. Never include credentials. Write [REDACTED] for passwords in repro steps.
  4. Write incrementally. Append each issue to the report as you find it. Don't batch.
  5. Never read source code. Test as a user, not a developer.
  6. Check console after every interaction. JS errors that don't surface visually are still bugs.
  7. Test like a user. Use realistic data. Walk through complete workflows end-to-end.
  8. Depth over breadth. 5-10 well-documented issues with evidence > 20 vague descriptions.
  9. Never delete output files. Screenshots and reports accumulate — that's intentional.
  10. Use snapshot -C for tricky UIs. Finds clickable divs that the accessibility tree misses.

Output Structure

.gstack/qa-reports/
├── qa-report-{domain}-{YYYY-MM-DD}.md    # Structured report
├── screenshots/
│   ├── initial.png                        # Landing page annotated screenshot
│   ├── issue-001-step-1.png               # Per-issue evidence
│   ├── issue-001-result.png
│   └── ...
└── baseline.json                          # For regression mode

Report filenames use the domain and date: qa-report-myapp-com-2026-03-12.md

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