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Context Driven Testing

skill-proffesor-for-testing-agentic-qe-context-driven-testing · by proffesor-for-testing

Apply context-driven testing principles where practices are chosen based on project context, not universal 'best practices'. Use when making testing decisions, questioning dogma, or adapting approaches to specific project needs.

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Install

$ agentstack add skill-proffesor-for-testing-agentic-qe-context-driven-testing

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Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

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Reliability & compatibility

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Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

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About

Context-Driven Testing

When making testing decisions or adapting approaches:

  1. ANALYZE context: project goals, constraints, risks, team skills
  2. QUESTION practices: "Why this? What risk does it address? What's the cost?"
  3. INVESTIGATE not just check: Does software solve the problem, or create new ones?
  4. ADAPT approach based on context, not "best practices"
  5. DOCUMENT discoveries, not pre-written plans

Quick Context Analysis:

  • Mission: "Find important problems fast enough to matter" (not "execute test cases")
  • Risk: Safety-critical = high rigor; internal tool = lighter touch
  • Constraints: Startup with tight timeline ≠ enterprise with compliance
  • Skills: Novice needs structure; expert adapts intuitively

Critical Success Factors:

  • No "best practices" work everywhere - only good practices in context
  • Testing is investigation, not script execution
  • Context changes; your approach should too

Quick Reference Card

When to Use

  • Making testing decisions for new project
  • Questioning "that's how it's done" dogma
  • Adapting approach to specific constraints
  • Exploratory testing sessions

RST Heuristics

| Heuristic | Application | |-----------|-------------| | SFDIPOT | Structure, Function, Data, Interfaces, Platform, Operations, Time | | Oracles | Consistency with history, similar products, expectations, docs | | Tours | Business District, Historical, Bad Neighborhood, Tourist, Museum |


Context-Driven Decisions

Example: Test Automation Level

Startup Context:

  • Small team, rapid changes, unclear product-market fit
  • Decision: Light automation on critical paths, heavy exploratory
  • Rationale: Requirements change too fast for extensive automation

Enterprise Context:

  • Stable features, regulatory requirements, large team
  • Decision: Comprehensive automated regression suite
  • Rationale: Stability allows automation investment to pay off

Example: Documentation

Regulated (FDA/medical):

  • Decision: Detailed test protocols, traceability matrices
  • Rationale: Regulatory compliance isn't optional

Fast-paced startup:

  • Decision: Lightweight session notes, risk logs
  • Rationale: Bureaucracy slows more than it helps

Agent-Assisted Context-Driven Testing

// Agent analyzes context and recommends approach
const context = await Task("Analyze Context", {
  project: 'e-commerce-platform',
  stage: 'startup',
  constraints: ['timeline: tight', 'budget: limited'],
  risks: ['payment-security', 'high-volume']
}, "qe-fleet-commander");

// Context-aware agent selection
// - qe-security-scanner (critical risk)
// - qe-performance-tester (high volume)
// - Skip: qe-visual-tester (low priority in startup context)

// Adaptive testing strategy
await Task("Generate Tests", {
  context: 'startup',
  focus: 'critical-paths-only',
  depth: 'smoke-tests',
  automation: 'minimal'
}, "qe-test-generator");

Agent Coordination Hints

Memory Namespace

aqe/context-driven/
├── context-analysis/*    - Project context snapshots
├── decisions/*           - Testing decisions with rationale
├── discoveries/*         - What was learned during testing
└── adaptations/*         - How approach changed over time

Fleet Coordination

const contextFleet = await FleetManager.coordinate({
  strategy: 'context-driven',
  context: {
    type: 'greenfield-saas',
    stage: 'growth',
    compliance: 'gdpr-only'
  },
  agents: ['qe-test-generator', 'qe-security-scanner', 'qe-performance-tester'],
  exclude: ['qe-visual-tester', 'qe-requirements-validator']  // Not priority
});

Practical Tips

  1. Start with risk assessment - List features, ask: How likely to fail? How bad? How hard to test?
  2. Time-box exploration - 2 hours checkout, 30 min error handling, 15 min per browser
  3. Document discoveries - Not "Enter invalid email, verify error" but "Payment API returns 500 instead of 400, no user-visible error. Bug filed."
  4. Talk to humans - Developers, users, support, product
  5. Pair with others - Different perspectives = different bugs

Related Skills

  • [agentic-quality-engineering](../agentic-quality-engineering/) - Context-aware agent selection
  • [holistic-testing-pact](../holistic-testing-pact/) - Adapt holistic model to context
  • [risk-based-testing](../risk-based-testing/) - Context affects risk assessment
  • [exploratory-testing-advanced](../exploratory-testing-advanced/) - RST techniques

Remember

With Agents: Agents analyze context, adapt strategies, and learn what works in your situation. Use agents to scale context-driven thinking while maintaining human judgment for critical decisions.

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

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Versions

  • v0.1.0 Imported from the upstream source.