QA Browser Automation

SkillWeb & browsing

Your AI can test web applications directly in a browser and report what needs fixing. It runs browser QA tests, spots visual regressions, checks WCAG accessibility, profiles page performance, and assigns an overall health score, using Chrome to control the browser and Python tools to analyze the results.

Available today. Use it from your connected AI after setup.

After adding it, ask your AI to QA a web page or application and say what to focus on, such as accessibility, performance, or visual changes.

Then ask your AI: use the QA Browser Automation skill

What your AI can do with it

  • Run browser QA tests on web applications
  • Track visual regressions between versions
  • Audit pages for WCAG accessibility issues
  • Profile page performance
  • Score the overall health of a web application
  • Control Chrome to interact with your site during testing

What this skill tells your AI

The instructions your AI receives, as published by borghei/claude-skills in engineering/qa-browser-automation/SKILL.md and read by ahel’s review.

The agent drives Chrome MCP for live browser testing and uses four Python tools for deterministic health scoring, accessibility auditing, visual regression tracking, and report generation.


Clarify First

Before the QA sweep, confirm these inputs. If any is unknown or vague, ASK — do not assume:

  • Target URL/app + auth — what to test and how to log in (the subject of the entire sweep)
  • Testing tier — Quick / Standard / Deep / Exhaustive (sets scope, breakpoints, and duration)
  • Fix autonomy — auto-fix P3/P4 and commit, vs report-only / ask before any code change (changes whether the working tree is modified)
  • WCAG target level — A / AA / AAA (sets the accessibility pass bar)

Stop rule: ask only the 2-3 that most change the output. If the user says "just draft it," proceed and list your assumptions at the top of the artifact.

Quick Start

# Score QA findings (0-100 weighted across 10 categories)
python scripts/qa_health_scorer.py findings.json --threshold 85 --baseline .qa-baselines/latest.json --save-baseline --json

# Audit HTML for WCAG 2.1 violations
python scripts/accessibility_auditor.py page.html --level AA --json

# Track visual regressions
python scripts/visual_regression_tracker.py --init --baseline-dir ./baselines
python scripts/visual_regression_tracker.py --register ./baselines
python scripts/visual_regression_tracker.py --baseline ./baselines --current ./screenshots --threshold 5

# Generate full QA report
python scripts/test_report_generator.py session_data.json --format markdown -o report.md

Tools Overview

ToolInputOutput
qa_health_scorer.pyFindings JSONScore 0-100, grade A-F, category breakdown, trend data
accessibility_auditor.pyHTML file (or stdin)WCAG violations by level with remediation guidance
visual_regression_tracker.pyBaseline + current screenshot dirsPass/fail per page, change percentages
test_report_generator.pySession data JSONMarkdown or JSON report with recommendations

All tools support --json for machine output. Health scorer and regression tracker return exit code 1 on failure (CI-friendly).


Workflow 1: Full Application QA Sweep (11 Phases)

Phase 1-2: Pre-flight and authentication.

  • Verify git status is clean. Abort if dirty.
  • Create session directory: .qa-sessions/{timestamp}/
  • Authenticate via Chrome MCP if needed.

Phase 3-4: Orient and explore.

  • Use mcp__claude-in-chrome__read_page to build sitemap/page map.
  • Navigate each route. Check read_console_messages for errors, read_network_requests for 4xx/5xx.
  • Test all forms with valid data, empty submissions, and boundary values.

Phase 5: State testing.

  • Verify loading states (skeleton screens, not blank), empty states (guides to first action), error states, success states, partial states.
  • Four shadow paths per interaction: happy path, nil input, empty input, error upstream.

Phase 6: Cross-device and security.

  • Resize to 320px, 768px, 1024px, 1440px, 1920px.
  • Check touch targets (44x44px min), layout shifts.
  • Verify security headers (CSP, HSTS, X-Frame-Options), cookie flags.

Phase 7-8: Document and score.

  • Record every finding with screenshot evidence. No finding without evidence.
  • Classify by severity (P0-P4) and category (10 categories).
  • Run: python scripts/qa_health_scorer.py findings.json --baseline .qa-baselines/latest.json

Phase 9: Triage and fix loop.

  • P3/P4: AUTO-FIX, commit atomically, verify.
  • P0/P1/P2: ASK, present evidence, propose fix, wait for approval.
  • After each fix: re-run check. If fail: git revert.
  • Hard stop at 50 fixes.

Phase 10-11: Regression check and report.

  • Re-visit fixed pages. Verify no new errors.
  • Generate report: python scripts/test_report_generator.py session.json --save-baseline

Validation checkpoint: Health score >= 85. Zero P0 findings. WCAG AA >= 95%.


Workflow 2: Visual Regression Testing

# Set up baseline
python scripts/visual_regression_tracker.py --init --baseline-dir ./baselines
# Capture and register screenshots
python scripts/visual_regression_tracker.py --register ./baselines
# After changes, compare
python scripts/visual_regression_tracker.py --baseline ./baselines --current ./screenshots --threshold 5 --json
# Accept intentional changes
python scripts/visual_regression_tracker.py --update-baseline --baseline ./baselines --current ./screenshots

Pages exceeding the threshold (default 5%) are flagged as regressions. Uses SHA-256 hashing and byte-level comparison.


Workflow 3: Accessibility Audit

python scripts/accessibility_auditor.py page.html --level AA --json
curl -s https://example.com | python scripts/accessibility_auditor.py - --level AAA

What gets checked by level:

  • A (Must Fix): Alt text, page language, form labels, headings, duplicate IDs, autoplay media
  • AA (Should Fix): Color contrast (4.5:1 text, 3:1 large), heading hierarchy, focus visible, error identification
  • AAA (Nice to Have): Enhanced contrast (7:1), extended audio, reading level

Each violation includes: WCAG criterion, severity, element selector, and remediation guidance.


Testing Tiers

TierDurationScope
Quick30sConsole errors, broken links, basic a11y, mobile resize
Standard2-5 min+ Top 10 routes, forms, contrast, Core Web Vitals
Deep10-20 min+ Full sitemap, state testing, WCAG AA, performance, visual regression, security headers
Exhaustive30+ min+ Every element, WCAG AAA, all pages performance, 5 breakpoints, auth edge cases, memory leaks

Health Scoring System

10 weighted categories, score 0-100:

CategoryWeightMeasures
Functional18%Forms, CRUD, navigation flows
Accessibility13%WCAG compliance, keyboard nav
Console Errors12%JS errors, unhandled rejections
UX Flow12%Logical navigation, clear feedback
Performance12%Core Web Vitals within thresholds
Visual Consistency10%Layout shifts, alignment, z-index
Broken Links8%HTTP 4xx/5xx, dead anchors
Content Quality5%Spelling, placeholder text, truncation
Security Headers5%CSP, HSTS, cookie flags
Mobile Responsive5%Breakpoints, touch targets, no h-scroll

Severity deductions: P0: -30, P1: -18, P2: -10, P3: -4, P4: -1.

Grades: A (90-100), B (80-89), C (70-79), D (60-69), F (0-59).


Safety Controls

  • Clean working tree required -- abort if git status dirty.
  • Max 50 fixes per session -- hard stop.
  • Risk accumulator -- component (+5), style (+2), config (+8), revert (+15). Stop at 25% of budget.
  • WTF heuristic -- 3 consecutive fix verification failures = stop entirely.
  • Atomic commits -- one fix = one commit: fix(qa): [P{severity}] {description}

Troubleshooting

ProblemCauseSolution
Scorer exits code 1 with no errorsScore below --threshold (default 70)Check score in output; raise threshold or fix findings
Auditor reports parse-errorMalformed HTMLVerify file is complete; check curl is not returning redirect
Regression tracker 100% change on all pagesBaseline manifest emptyRun --init then --register before comparing
Findings default to P3/functionalMissing severity or category keysInclude both keys in each finding dict
Chrome MCP returns stale content after SPA navDOM updated without full page loadWait for transition, call read_page again

References

GuidePath
Browser Testing Methodologyreferences/browser_testing_methodology.md
WCAG Compliance Guidereferences/wcag_compliance_guide.md
Performance Benchmarksreferences/performance_benchmarks.md

Integration Points

SkillIntegration
code-reviewerHealth score and findings in PR review context
senior-frontendVisual regression baselines align with component library
senior-devopsHealth score gates CI/CD via exit code
senior-secopsSecurity header findings escalate to security review
incident-commanderP0 findings trigger incident response

Last Updated: April 2026 Version: 2.1.0

Signals

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Last commit
Aug 2026
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skill
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qa-browser-automation
Source
github.com/borghei/claude-skills