Use when running comprehensive WCAG accessibility audits with axe-core + pa11y + Lighthouse, generating context-aware remediation, or testing video accessibility. Supports 3-tier browser cascade with graceful degradation.
日本語の概要は準備中です。原文の説明を表示しています。
AI-powered testability assessment using 10 principles of intrinsic testability with Playwright and optional Vibium integration. Evaluates web applications against Observability, Controllability, Algorithmic Simplicity, Transparency, Stability, Explainability, Unbugginess, Smallness, Decomposability, and Similarity. Use when assessing software testability, evaluating test readiness, identifying testability improvements, or generating testability reports.
日本語の概要は準備中です。原文の説明を表示しています。
実行スコア 未検証
インストール方法を見るインストールする前に、エージェントに与えられる指示の中身を確認できます。
Uses the qe-browser fleet skill (.claude/skills/qe-browser/) as the primary browser engine. Vibium is installed by aqe init. The legacy scripts/run-assessment.sh + Playwright path remains as a fallback when a team already has a Playwright test suite configured, but new runs should prefer:
vibium go "$TARGET_URL"
vibium wait load
vibium a11y-tree --json > /tmp/testability/tree.json
vibium eval --stdin --json <<'EOF' > /tmp/testability/signals.json
JSON.stringify({
headings: document.querySelectorAll('h1,h2,h3,h4,h5,h6').length,
testIds: document.querySelectorAll('[data-testid]').length,
forms: document.querySelectorAll('form').length,
ariaLabels: document.querySelectorAll('[aria-label]').length,
links: document.querySelectorAll('a[href]').length,
});
EOF
node .claude/skills/qe-browser/scripts/assert.js --checks '[
{"kind": "no_console_errors"},
{"kind": "no_failed_requests"}
]'
<default_to_action> When assessing testability:
Quick Assessment:
# Run assessment on any URL
TEST_URL='https://example.com/' npx playwright test tests/testability-scoring/testability-scoring.spec.js --project=chromium --workers=1
# Or use shell script wrapper
.claude/skills/testability-scoring/scripts/run-assessment.sh https://example.com/
The 10 Principles at a Glance:
| Principle | Weight | Key Question |
|---|---|---|
| Observability | 15% | Can we see what's happening? |
| Controllability | 15% | Can we control the application? |
| Algorithmic Simplicity | 10% | Are behaviors predictable? |
| Algorithmic Transparency | 10% | Can we understand what it does? |
| Algorithmic Stability | 10% | Does behavior remain consistent? |
| Explainability | 10% | Is the interface understandable? |
| Unbugginess | 10% | How error-free is it? |
| Smallness | 10% | Are components appropriately sized? |
| Decomposability | 5% | Can we test parts in isolation? |
| Similarity | 5% | Is the tech stack familiar? |
Grade Scale:
| Method | Command | When to Use |
|---|---|---|
| Shell Script | ./scripts/run-assessment.sh URL | One-time assessment |
| ENV Override | TEST_URL='URL' npx playwright test... | CI/CD integration |
| Config File | Update tests/testability-scoring/config.js | Repeated runs |
| Principle | Measures | Indicators |
|---|---|---|
| Observability | State visibility, logging, monitoring | Console output, network tracking, error visibility |
| Controllability | Input control, state manipulation | API access, test data injection, determinism |
| Principle | Measures | Indicators |
|---|---|---|
| Simplicity | Predictable behavior | Clear I/O relationships, low complexity |
| Transparency | Understanding what system does | Visible processes, readable code |
| Stability | Consistent behavior | Change resilience, maintainability |
| Explainability | Interface understanding | Good docs, semantic structure, help text |
| Unbugginess | Error-free operation | Console errors, warnings, runtime issues |
| Smallness | Component size | Element count, script bloat, page complexity |
| Principle | Measures | Indicators |
|---|---|---|
| Decomposability | Isolation testing | Component separation, modular design |
| Similarity | Technology familiarity | Standard frameworks, known patterns |
1. Navigate to URL → 2. Collect Metrics → 3. Score Principles
↓
4. Generate JSON ← 5. Calculate Grades ← 6. Apply Weights
↓
7. Generate HTML Report with Radar Chart
↓
8. Open in Browser (auto-opens)
tests/reports/
├── testability-results-<timestamp>.json # Raw data
├── testability-report-<timestamp>.html # Visual report
└── latest.json # Symlink
# GitHub Actions
- name: Testability Assessment
run: |
timeout 180 .claude/skills/testability-scoring/scripts/run-assessment.sh ${{ env.APP_URL }}
- name: Upload Reports
uses: actions/upload-artifact@v3
with:
name: testability-reports
path: tests/reports/testability-*.html
// Combine testability with QX analysis
const qxAnalysis = await Task("QX Analysis", {
target: 'https://example.com',
integrateTestability: true
}, "qx-partner");
// Returns combined insights:
// - QX Score: 78/100
// - Testability Integration: Observability 72/100
// - Combined Insight: Low observability may mask UX issues
import { runTestabilityAssessment } from './testability';
const results = await runTestabilityAssessment('https://example.com');
console.log(`Overall: ${results.overallScore}/100 (${results.grade})`);
console.log('Recommendations:', results.recommendations);
// Run testability assessment
const assessment = await Task("Testability Assessment", {
url: 'https://example.com',
generateReport: true,
openBrowser: true
}, "qe-quality-analyzer");
// Use with QX Partner for holistic analysis
const qxReport = await Task("Full QX Analysis", {
target: 'https://example.com',
integrateTestability: true,
detectOracleProblems: true
}, "qx-partner");
Vibium browser automation can be used alongside Playwright for enhanced testability assessment. While Playwright remains the primary engine, Vibium offers complementary capabilities for certain metrics.
Installation:
claude mcp add vibium -- npx -y vibium
| Principle | Vibium Enhancement | Benefit |
|---|---|---|
| Observability | Auto-wait duration tracking | Measures DOM stability (30s timeout, 100ms polling) |
| Controllability | Element interaction success rate | Validates automation readiness via MCP |
| Stability | Screenshot consistency | Visual regression detection for layout stability |
| Explainability | Element attribute extraction | ARIA labels, semantic HTML validation |
✅ USE Vibium for:
❌ USE Playwright for:
// Testability assessment using both engines
const assessment = {
// Playwright: Comprehensive metrics
playwright: await runPlaywrightAssessment(url),
// Vibium: Stability metrics
vibium: {
elementStability: await measureAutoWaitDuration(url),
visualConsistency: await compareScreenshots(url),
accessibilityAttributes: await extractARIALabels(url)
}
};
// Enhanced Observability Score
const observability =
(assessment.playwright.consoleErrors * 0.6) +
(assessment.vibium.elementStability * 0.4);
// 1. Element Stability Measurement
const browser = await browser_launch();
await browser_navigate({ url });
const startTime = Date.now();
const element = await browser_find({ selector: ".critical-element" });
const autoWaitDuration = Date.now() - startTime;
// Lower duration = better stability
// 2. Visual Consistency Check
const screenshot1 = await browser_screenshot();
await browser_navigate({ url }); // Reload
const screenshot2 = await browser_screenshot();
const visualDiff = compareImages(screenshot1.png, screenshot2.png);
// Lower diff = better stability
// 3. Accessibility Attribute Extraction
const elements = await browser_find({ selector: "button, a, input" });
const ariaLabels = elements.map(el => el.attributes["aria-label"]);
const semanticScore = (ariaLabels.filter(Boolean).length / elements.length) * 100;
Current (V2.2): Hybrid approach
Future (V3.0): When Vibium V2 ships
aqe/testability/
├── assessments/* - Assessment results by URL
├── historical/* - Historical scores for trend analysis
├── recommendations/* - Improvement recommendations
├── integration/* - QX integration data
└── vibium/* - Vibium-specific metrics (optional)
const testabilityFleet = await FleetManager.coordinate({
strategy: 'testability-assessment',
agents: [
'qe-quality-analyzer', // Primary assessment
'qx-partner', // UX integration
'qe-visual-tester' // Visual validation
],
topology: 'sequential'
});
| Issue | Solution |
|---|---|
| Tests timing out | Increase timeout: timeout 300 ./scripts/run-assessment.sh URL |
| Partial results | Check console errors, increase network timeout |
| Report not opening | Use AUTO_OPEN=false, open manually |
| Config not updating | Use TEST_URL env var instead |
| Vibium not available | Install via claude mcp add vibium -- npx -y vibium (optional) |
| Hybrid mode errors | Vibium is optional; assessments work without it |
claude mcp add vibium -- npx -y vibiumTestability is an investment, not an afterthought.
Good testability:
Low scores = High risk. Prioritize improvements by weight × impact.
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Use when running comprehensive WCAG accessibility audits with axe-core + pa11y + Lighthouse, generating context-aware remediation, or testing video accessibility. Supports 3-tier browser cascade with graceful degradation.
日本語の概要は準備中です。原文の説明を表示しています。
WCAG 2.2 compliance testing, screen reader validation, and inclusive design verification. Use when ensuring legal compliance (ADA, Section 508), testing for disabilities, or building accessible applications for 1 billion disabled users globally.
日本語の概要は準備中です。原文の説明を表示しています。
Master advanced AgentDB features including QUIC synchronization, multi-database management, custom distance metrics, hybrid search, and distributed systems integration. Use when building distributed AI systems, multi-agent coordination, or advanced vector search applications.
日本語の概要は準備中です。原文の説明を表示しています。
Create and train AI learning plugins with AgentDB's 9 reinforcement learning algorithms. Includes Decision Transformer, Q-Learning, SARSA, Actor-Critic, and more. Use when building self-learning agents, implementing RL, or optimizing agent behavior through experience.
日本語の概要は準備中です。原文の説明を表示しています。
Implement persistent memory patterns for AI agents using AgentDB. Includes session memory, long-term storage, pattern learning, and context management. Use when building stateful agents, chat systems, or intelligent assistants.
日本語の概要は準備中です。原文の説明を表示しています。
Optimize AgentDB performance with quantization (4-32x memory reduction), HNSW indexing (150x faster search), caching, and batch operations. Use when optimizing memory usage, improving search speed, or scaling to millions of vectors.
日本語の概要は準備中です。原文の説明を表示しています。