name: shannon-execution-verifier description: | Comprehensive post-build verification of Shannon Framework's application outputs using three-layer methodology: Flow Verification (execution trace analysis), Artifact Verification (physical output inspection), and Functional Verification (runtime testing). Verifies Shannon built production-ready applications across all domains (Frontend, Backend, Database, Mobile, DevOps). Ensures NO MOCKS compliance, cross-platform functionality, and complete integration. Use after: Shannon builds any application via /shannon:wave, need to verify build quality, production readiness assessment.

skill-type: PROTOCOL version: "5.0.0"

mcp-requirements: required: - name: serena purpose: Memory inspection and checkpoint analysis

recommended: - name: puppeteer purpose: Frontend functional testing verification - name: playwright purpose: Alternative browser testing verification - name: xc-mcp purpose: iOS Simulator testing verification - name: sequential-thinking purpose: Deep analysis of complex verification scenarios

required-by:

Shannon v5.0 functional testing
Production readiness validation

allowed-tools: All

Shannon Execution Verifier - Comprehensive Build Validation

Purpose

Verify that Shannon Framework successfully built production-ready applications by inspecting physical outputs, testing runtime functionality, and validating cross-domain integration. This skill transforms Shannon testing from "does it output correct text?" to "does it build working applications?"

Core Innovation: Three-layer verification (Flow + Artifacts + Functionality) proves Shannon builds production applications, not just analyzes specifications.

When to Use

Use this skill when:

Shannon completed building an application via /shannon:wave
Need to verify build quality and completeness
Validating Shannon's cross-domain integration
Testing NO MOCKS compliance in generated tests
Preparing for production deployment
Debugging why Shannon build might not work
Meta-testing Shannon Framework itself (v5.0 validation)

Do NOT use when:

Shannon only analyzed (didn't build)
Partial builds (incomplete waves)
Still in development (not ready to verify)

The Three-Layer Verification Model

Layer 1: Flow Verification (Execution Trace Analysis)

Purpose: Verify Shannon executed correct logic paths

Method: Analyze SDK message stream for tool_call sequences

Verification Points:

✅ Expected skills invoked? (spec-analysis, wave-orchestration, etc.)
✅ Skills chained correctly? (spec-analysis → mcp-discovery → phase-planning)
✅ Agents spawned in parallel? (multiple Task calls in single message)
✅ Correct agents for domains? (Frontend domain → FRONTEND agent)
✅ MCP tools used appropriately? (puppeteer for web, xc-mcp for iOS)
✅ Results saved to Serena? (write_memory calls present)
✅ SITREP protocol if needed? (complexity >= 0.70)

Example:

from inspection_lib.trace_analyzer import analyze_execution_trace

# Capture Shannon execution
trace = []
async for msg in query("/shannon:wave 1", options):
    trace.append(msg)

# Verify flow
flow_result = analyze_execution_trace(trace, expected_flow='sh_wave_flow.yaml')

# Report
if flow_result.passed:
    print("✅ Flow Verification: PASSED")
    print(f"   - Skills invoked: {flow_result.skills_used}")
    print(f"   - Agents spawned: {flow_result.agents_spawned}")
    print(f"   - Parallel execution: {flow_result.parallel_detected}")
else:
    print("❌ Flow Verification: FAILED")
    print(f"   - Missing: {flow_result.missing_steps}")

Layer 2: Artifact Verification (Physical Output Inspection)

Purpose: Verify Shannon created expected physical outputs

Method: Inspect file system, Serena memories, git state

Verification Points:

✅ Files created? (React components, API files, schemas, tests)
✅ File structure correct? (src/, tests/, config files in right places)
✅ Serena memories exist? (wave_N_complete, agent_results checkpoints)
✅ Memory structure valid? (JSON with expected fields)
✅ Git commits made? (code committed during execution)
✅ Dependencies configured? (package.json, requirements.txt populated)

Example:

from inspection_lib.file_inspector import verify_file_structure
from inspection_lib.memory_inspector import verify_serena_artifacts

# Verify files created
file_result = verify_file_structure(
    expected_structure='scenarios/prd_creator.yaml'
)

print(f"Frontend files: {file_result.frontend_files_found}/{file_result.frontend_files_expected}")
print(f"Backend files: {file_result.backend_files_found}/{file_result.backend_files_expected}")

# Verify Serena memories
memory_result = verify_serena_artifacts(wave_number=1)

print(f"Wave checkpoint: {'✅' if memory_result.checkpoint_exists else '❌'}")
print(f"Agent results: {len(memory_result.agent_results)}")

Layer 3: Functional Verification (Runtime Testing)

Purpose: Verify built application actually works in production-like environment

Method: Start services, test with real tools (curl, Playwright, psql, xc-mcp)

Verification Points:

✅ Servers start? (npm run dev, uvicorn, docker)
✅ Endpoints accessible? (HTTP 200 responses)
✅ Frontend renders? (Playwright can load and interact)
✅ Backend processes requests? (curl POST/GET/PUT/DELETE work)
✅ Database persists data? (psql queries return data)
✅ Validation enforced? (Invalid input → proper error)
✅ Error handling present? (404, 500 pages exist)
✅ Integration works? (Frontend → Backend → Database loop)
✅ NO MOCKS compliant? (Real browser, real HTTP, real database)
✅ Cross-platform? (Mobile/desktop viewports, multiple browsers)

Example:

from inspection_lib.runtime_inspector import start_and_test_services
from domain_verifiers.frontend_verifier import verify_frontend
from domain_verifiers.backend_verifier import verify_backend
from domain_verifiers.database_verifier import verify_database

# Start all services
services = start_and_test_services()

# Verify frontend
frontend_result = verify_frontend(
    url='http://localhost:5173',
    browser='chromium',
    viewports=['mobile', 'desktop']
)

# Verify backend (curl tests, NO pytest)
backend_result = verify_backend(
    base_url='http://localhost:8000',
    test_mode='curl'  # Real HTTP, not TestClient
)

# Verify database
database_result = verify_database(
    connection='postgresql://localhost:5432/prd_creator',
    expected_tables=['prds', 'users']
)

# Verify integration
integration_result = verify_end_to_end_flow(
    frontend_url='http://localhost:5173',
    backend_url='http://localhost:8000',
    database_connection=database_result.connection
)

# Report
print(f"✅ Frontend: {frontend_result.passed}")
print(f"✅ Backend: {backend_result.passed}")
print(f"✅ Database: {database_result.passed}")
print(f"✅ Integration: {integration_result.passed}")

Domain-Specific Verification

Frontend Verification (frontend_verifier.py)

For: React, Vue, Angular, Svelte applications

Checks:

Build Verification:
- npm install succeeds
- npm run build succeeds
- Build outputs dist/ or build/ directory
Development Server:
- npm run dev starts without errors
- Server listens on configured port
- Health endpoint returns 200
Playwright Functional Testing:
- Can navigate to application
- Page renders without JavaScript errors
- Forms are interactive
- Buttons trigger actions
- Data displays correctly
NO MOCKS Compliance:
- Scan test files for: jest.mock, vi.mock, cy.stub
- Verify Playwright used for browser testing
- Verify real API calls (not mocked fetch)
Responsive Design:
- Mobile viewport (375x667): UI adapts
- Desktop viewport (1920x1080): Full layout
- Tablet viewport (768x1024): Intermediate layout
Cross-Browser:
- Chrome: Renders and functions
- Firefox: Renders and functions
- Safari: Renders and functions

Backend Verification (backend_verifier.py)

For: Express, FastAPI, Django, Flask APIs

Checks:

Server Start:
- Server process starts (uvicorn, node, python)
- Listens on configured port
- No startup errors
Health Check:
- /health or / endpoint returns 200
- OpenAPI docs accessible (/docs for FastAPI)

Functional API Testing (curl, NO pytest TestClient):

# Create
curl -X POST http://localhost:8000/api/resource \
  -H "Content-Type: application/json" \
  -d '{"field": "value"}'
# Expect: 201 Created

# Read
curl http://localhost:8000/api/resource/1
# Expect: 200 OK, returns JSON

# Update
curl -X PUT http://localhost:8000/api/resource/1 \
  -d '{"field": "updated"}'
# Expect: 200 OK

# Delete
curl -X DELETE http://localhost:8000/api/resource/1
# Expect: 204 No Content

Validation Enforcement:

# Invalid input
curl -X POST http://localhost:8000/api/resource \
  -d '{"invalid": "data"}'
# Expect: 400 or 422 with error message

Error Handling:

# Non-existent resource
curl http://localhost:8000/api/resource/99999
# Expect: 404 Not Found

Database Integration:
- After POST, verify record in database (psql query)
- After DELETE, verify record removed
- Verify transactions work
NO MOCKS Compliance:
- Scan test files for: @mock, TestClient, sinon.stub
- Verify real HTTP used in tests
- Verify real database used (not SQLite :memory:)

Database Verification (database_verifier.py)

For: PostgreSQL, MongoDB, MySQL, Redis databases

Checks:

Schema Files:
- Prisma schema.prisma exists
- OR SQL migrations/*.sql exist
- Schema matches specification requirements

Database Running:

# PostgreSQL
docker ps | grep postgres
psql -c "SELECT version()"

# MongoDB
docker ps | grep mongo
mongosh --eval "db.version()"

Tables/Collections Exist:

-- PostgreSQL
SELECT table_name FROM information_schema.tables
WHERE table_schema = 'public';

-- Should match spec requirements

CRUD Operations:

-- Insert
INSERT INTO prds (title, description) VALUES ('Test', 'Test desc');

-- Query
SELECT * FROM prds WHERE title = 'Test';

-- Update
UPDATE prds SET description = 'Updated' WHERE title = 'Test';

-- Delete
DELETE FROM prds WHERE title = 'Test';

Constraints Enforced:

-- Test NOT NULL
INSERT INTO prds (description) VALUES ('No title');
-- Expect: Error

-- Test UNIQUE
INSERT INTO prds (title) VALUES ('Duplicate');
INSERT INTO prds (title) VALUES ('Duplicate');
-- Expect: Error on second insert

Integration with Backend:
- After backend POST, verify database has record
- After backend DELETE, verify database record removed
- Transactions committed correctly

Mobile Verification (mobile_verifier.py)

For: React Native, Flutter, native iOS/Android apps

Checks:

Project Structure:
- React Native project initialized
- iOS and Android directories present
- package.json has react-native dependency

Build Verification:

# React Native
npm install
npx react-native run-ios --simulator="iPhone 15"
# App builds and launches on simulator

Simulator Testing (xc-mcp):

# Use xc-mcp tools
from xc_mcp import simctl_boot, idb_launch, idb_ui_tap

# Boot simulator
simctl_boot(deviceId="iPhone-15")

# Launch app
idb_launch(bundleId="com.example.app")

# Test UI interaction
idb_ui_tap(x=100, y=200)

# Verify: App responds to interaction

Platform-Specific Features:
- Native components used (not just web views)
- Platform APIs integrated (camera, location if specified)
- Navigation works (React Navigation or similar)
- Gestures work (swipe, pinch if specified)
NO MOCKS Compliance:
- Scan test files for: jest.mock('react-native')
- Verify xc-mcp used for iOS testing
- Verify real simulator (not mocked RN components)

DevOps Verification (devops_verifier.py)

For: Docker, Kubernetes, CI/CD configurations

Checks:

Docker Configuration:

# Dockerfile exists
test -f Dockerfile

# Can build image
docker build -t app-test .

# Can run container
docker run -d -p 3000:3000 app-test

# Container healthy
curl http://localhost:3000/health

docker-compose:

# docker-compose.yml exists
test -f docker-compose.yml

# Can start all services
docker-compose up -d

# All services healthy
docker-compose ps | grep "Up"

Environment Configuration:
- .env.example exists
- All required variables documented
- No secrets in code (only in .env)

Complete Verification Workflow

Step 1: Execute Shannon Command

from claude_agent_sdk import query, ClaudeAgentOptions

# Load Shannon plugin
options = ClaudeAgentOptions(
    plugins=[{"type": "local", "path": "./shannon-plugin"}]
)

# Execute Shannon build
print("Executing Shannon build...")

execution_trace = []
async for msg in query(prompt="/shannon:wave 1", options=options):
    execution_trace.append(msg)

    if msg.type == 'tool_call':
        print(f"  Tool: {msg.tool_name}")
    elif msg.type == 'assistant':
        print(".", end="", flush=True)

print(f"\nBuild complete. Captured {len(execution_trace)} messages")

Step 2: Invoke Verification Skill

# Verify the build
print("\nInvoking shannon-execution-verifier...")

verification_prompt = f"""
Skill("shannon-execution-verifier")

Scenario: prd_creator (or claude_code_expo, repo_nexus, shannon_cli)
Execution trace: {len(execution_trace)} messages captured
Verification tier: comprehensive

Perform three-layer verification:
1. Flow Verification - Analyze execution trace
2. Artifact Verification - Inspect files and Serena memories
3. Functional Verification - Test runtime functionality

Domains to verify: Frontend, Backend, Database (based on scenario)

Report comprehensive findings with pass/fail for each layer.
"""

verification_result = await query(prompt=verification_prompt, options=options)

print(verification_result)

Step 3: Verification Skill Executes

The skill performs:

3.1 Flow Verification:

# Load expected flow
expected = load_yaml('flow-specs/sh_wave_flow.yaml')

# Analyze trace
from inspection_lib.trace_analyzer import TraceAnalyzer

analyzer = TraceAnalyzer(execution_trace)

# Check skill invocations
assert analyzer.skill_invoked('wave-orchestration')
assert analyzer.skill_chain_correct(['spec-analysis', 'mcp-discovery', 'phase-planning'])

# Check agent spawning
agents_spawned = analyzer.extract_agent_spawns()
assert agents_spawned == ['FRONTEND', 'BACKEND', 'DATABASE_ARCHITECT']
assert analyzer.spawned_in_parallel(agents_spawned)

# Check memory operations
assert analyzer.memory_written('wave_1_complete')

# Report
print("✅ Flow Verification: PASSED (100%)")

3.2 Artifact Verification:

# Load scenario
scenario = load_yaml('scenarios/prd_creator.yaml')

# Inspect file system
from inspection_lib.file_inspector import FileInspector

inspector = FileInspector(scenario['expected_artifacts'])

# Check frontend files
frontend_files = inspector.check_files(domain='frontend')
print(f"Frontend: {frontend_files.found}/{frontend_files.expected} files")

# Check backend files
backend_files = inspector.check_files(domain='backend')
print(f"Backend: {backend_files.found}/{backend_files.expected} files")

# Inspect Serena memories
from inspection_lib.memory_inspector import MemoryInspector

memory_inspector = MemoryInspector()

checkpoint = memory_inspector.read('wave_1_complete')
assert checkpoint['agent_results']['FRONTEND']['status'] == 'complete'
assert checkpoint['agent_results']['BACKEND']['status'] == 'complete'

# Report
print("✅ Artifact Verification: PASSED (100%)")

3.3 Functional Verification:

# Start services
from inspection_lib.runtime_inspector import RuntimeInspector

runtime = RuntimeInspector()

# Frontend
frontend = runtime.start_service('npm run dev', port=5173, health_path='/')
assert frontend.started
assert frontend.healthy

# Backend
backend = runtime.start_service('uvicorn main:app --port 8000', port=8000)
assert backend.started
assert backend.healthy

# Verify frontend with Playwright
from domain_verifiers.frontend_verifier import FrontendVerifier

frontend_verifier = FrontendVerifier('http://localhost:5173')

# Test UI renders
assert frontend_verifier.page_loads()
assert frontend_verifier.title_correct('PRD Creator')

# Test form interaction
frontend_verifier.fill_form({'title': 'Test PRD', 'description': 'Test'})
frontend_verifier.click_submit()
assert frontend_verifier.success_message_visible()

# Verify backend with curl (NO TestClient)
from domain_verifiers.backend_verifier import BackendVerifier

backend_verifier = BackendVerifier('http://localhost:8000')

# Test CRUD operations
create_response = backend_verifier.curl_post('/api/prds', {'title': 'Test'})
assert create_response.status == 201
prd_id = create_response.json['id']

get_response = backend_verifier.curl_get(f'/api/prds/{prd_id}')
assert get_response.status == 200

# Verify database
from domain_verifiers.database_verifier import DatabaseVerifier

db_verifier = DatabaseVerifier('postgresql://localhost:5432/prd_creator')

# Check record exists
assert db_verifier.query("SELECT * FROM prds WHERE id = %s", [prd_id])

# Verify integration (end-to-end loop)
from inspection_lib.integration_tester import IntegrationTester

integration = IntegrationTester()

# Complete flow: UI → API → Database → UI
result = integration.test_complete_flow(
    action='create_prd',
    frontend_url='http://localhost:5173',
    backend_url='http://localhost:8000',
    database=db_verifier.connection
)

assert result.ui_to_api_works
assert result.api_to_database_works
assert result.database_to_ui_works

# Report
print("✅ Functional Verification: PASSED (98%)")
print("   Missing: Custom 404 page (minor gap)")

Scenario Specifications

Scenario Structure (YAML)

Each scenario defines complete verification requirements:

# scenarios/prd_creator.yaml

scenario_name: PRD Creator Web Application
spec_file: docs/ref/prd-creator-spec.md
complexity_expected: 0.40-0.50
domains_expected:
  Frontend: 30-40
  Backend: 30-40
  Database: 15-25
  DevOps: 5-15

expected_flow:
  skills:
    - spec-analysis
    - mcp-discovery
    - phase-planning
    - wave-orchestration
  agents:
    - FRONTEND
    - BACKEND
    - DATABASE_ARCHITECT
    - TEST_GUARDIAN
  mcps_used:
    - serena (mandatory)
    - puppeteer (frontend testing)
    - context7 (backend patterns)

expected_artifacts:
  frontend:
    directory: src/
    files:
      - src/components/PRDForm.tsx
      - src/components/PRDList.tsx
      - src/components/PRDDetail.tsx
      - src/App.tsx
      - src/main.tsx
      - package.json
      - vite.config.ts or webpack.config.js
    dependencies:
      - react
      - react-dom
      - axios or fetch
    build_command: npm run build
    dev_command: npm run dev
    dev_port: 5173 or 3000

  backend:
    directory: ./ or backend/
    files:
      - main.py
      - routers/prds.py
      - models/prd.py
      - database.py
      - requirements.txt
    dependencies:
      - fastapi
      - uvicorn
      - sqlalchemy or psycopg2
    start_command: uvicorn main:app --port 8000
    api_port: 8000
    endpoints:
      - GET /api/prds (list)
      - GET /api/prds/{id} (retrieve)
      - POST /api/prds (create)
      - PUT /api/prds/{id} (update)
      - DELETE /api/prds/{id} (delete)

  database:
    type: postgresql
    schema_file: prisma/schema.prisma or migrations/*.sql
    tables:
      - prds:
          columns: [id, title, description, author, created_at, updated_at]
          constraints: [id PRIMARY KEY, title NOT NULL]
      - users:
          columns: [id, email, password_hash, created_at]
          constraints: [id PRIMARY KEY, email UNIQUE]
    container_command: docker-compose up -d postgres
    connection: postgresql://localhost:5432/prd_creator

  testing:
    framework: playwright
    test_files:
      - tests/functional/prd-crud.spec.ts
      - tests/functional/prd-validation.spec.ts
    no_mocks_required: true
    real_browser_required: true

verification_depth: comprehensive

runtime_verification:
  - name: Frontend dev server
    command: npm run dev
    port: 5173
    health_check: curl http://localhost:5173

  - name: Backend API server
    command: uvicorn main:app --port 8000
    port: 8000
    health_check: curl http://localhost:8000/docs

  - name: Database
    command: docker-compose up -d postgres
    port: 5432
    health_check: psql -c "SELECT 1"

functional_tests:
  - test: Create PRD via API
    method: POST
    url: http://localhost:8000/api/prds
    body: '{"title": "Test PRD", "description": "Functional test", "author": "Tester"}'
    expect_status: 201
    expect_response_contains: id
    verify_database: SELECT * FROM prds WHERE title = 'Test PRD'

  - test: Create PRD via UI
    method: playwright
    url: http://localhost:5173
    actions:
      - fill: input[name="title"] value: "UI Test PRD"
      - fill: textarea[name="description"] value: "Created via UI"
      - click: button[type="submit"]
      - wait_for: .success-message
    verify_database: SELECT * FROM prds WHERE title = 'UI Test PRD'

  - test: Validation enforcement
    method: POST
    url: http://localhost:8000/api/prds
    body: '{"title": "AB"}'  # Too short
    expect_status: 400 or 422
    expect_response_contains: error or detail

integration_tests:
  - name: Complete CRUD loop via UI
    steps:
      - Create PRD via UI form
      - Verify appears in list (frontend)
      - Verify API returns it (backend)
      - Verify database has it (database)
      - Update via UI
      - Verify update propagates (all layers)
      - Delete via UI
      - Verify deletion propagates (all layers)

cross_platform_tests:
  - viewport: mobile (375x667)
    verify: Responsive layout, mobile navigation
  - viewport: tablet (768x1024)
    verify: Intermediate layout
  - viewport: desktop (1920x1080)
    verify: Full layout, all features visible
  - browsers: [chromium, firefox, webkit]
    verify: Cross-browser compatibility

This YAML drives the entire verification process.

Verification Report Format

═══════════════════════════════════════════════════════════════
SHANNON BUILD VERIFICATION REPORT
═══════════════════════════════════════════════════════════════

Scenario: PRD Creator Web Application
Spec: docs/ref/prd-creator-spec.md (18KB)
Command: /shannon:wave 1 + /shannon:wave 2
Duration: 45 minutes
Cost: $67.50
Shannon Version: 4.1.0

───────────────────────────────────────────────────────────────
LAYER 1: FLOW VERIFICATION
───────────────────────────────────────────────────────────────

✅ PASSED (100%)

Skills Invoked: 5/5 expected
├─ ✅ spec-analysis (invoked at message 12)
├─ ✅ mcp-discovery (chained at message 45)
├─ ✅ phase-planning (chained at message 67)
├─ ✅ wave-orchestration (invoked at message 89)
└─ ✅ context-preservation (wave checkpoint at message 234)

Agents Spawned: 3/3 in parallel ✅
├─ FRONTEND (Wave 1, message 95)
├─ BACKEND (Wave 1, message 95)
└─ DATABASE_ARCHITECT (Wave 1, message 95)

Parallel Execution: VERIFIED ✅
└─ All 3 agents spawned in single message (true parallelism)

MCP Usage: 4/4 expected
├─ ✅ serena: 8 write_memory calls
├─ ✅ puppeteer: Used in TEST_GUARDIAN
├─ ✅ context7: Used in BACKEND agent
└─ ✅ sequential-thinking: 250 thoughts for deep analysis

Serena Persistence: ✅
├─ spec_analysis_20251109_140532
├─ phase_plan_prd_creator
├─ wave_1_complete
└─ wave_2_complete

───────────────────────────────────────────────────────────────
LAYER 2: ARTIFACT VERIFICATION
───────────────────────────────────────────────────────────────

✅ PASSED (100%)

Frontend Artifacts: 18/18 files ✅
├─ src/components/PRDForm.tsx
├─ src/components/PRDList.tsx
├─ src/components/PRDDetail.tsx
├─ src/components/PRDFilters.tsx
├─ src/App.tsx
├─ src/main.tsx
├─ src/api/client.ts
├─ package.json (react, react-dom, vite, axios)
└─ ... (10 more files)

Backend Artifacts: 12/12 files ✅
├─ main.py
├─ routers/prds.py
├─ routers/users.py
├─ models/prd.py
├─ models/user.py
├─ database.py
├─ requirements.txt (fastapi, uvicorn, sqlalchemy, psycopg2)
└─ ... (5 more files)

Database Artifacts: 4/4 files ✅
├─ prisma/schema.prisma
├─ prisma/migrations/001_init.sql
├─ docker-compose.yml (postgres service)
└─ .env.example (database config)

Test Artifacts: 8/8 files ✅
├─ tests/functional/prd-crud.spec.ts (Playwright)
├─ tests/functional/prd-validation.spec.ts (Playwright)
├─ tests/api/test_prds_api.sh (curl functional tests)
├─ playwright.config.ts
└─ ... (4 more)

NO MOCKS Scan: ✅ PASSED
└─ Zero mock patterns detected (jest.mock, @mock, TestClient, sinon.stub)

Git Commits: 2 commits ✅
├─ "feat: implement PRD Creator frontend (Wave 1)"
└─ "feat: implement backend and database (Wave 2)"

Serena Checkpoints: 4/4 ✅
├─ spec_analysis_20251109_140532
├─ phase_plan_prd_creator
├─ wave_1_complete
└─ wave_2_complete

───────────────────────────────────────────────────────────────
LAYER 3: FUNCTIONAL VERIFICATION
───────────────────────────────────────────────────────────────

✅ PASSED (97%)

Frontend Runtime: ✅ PASSED
├─ npm install: Success (142 packages)
├─ npm run build: Success (dist/ created)
├─ npm run dev: Started on :5173
├─ Health check: HTTP 200
└─ No console errors

Playwright UI Testing: ✅ PASSED
├─ Page loads: ✅ (http://localhost:5173)
├─ Title correct: ✅ "PRD Creator"
├─ Form renders: ✅
├─ Can fill fields: ✅
├─ Submit works: ✅
├─ Success message: ✅
└─ PRD appears in list: ✅

Backend Runtime: ✅ PASSED
├─ pip install: Success
├─ uvicorn main:app: Started on :8000
├─ OpenAPI docs: ✅ http://localhost:8000/docs
└─ No startup errors

API Functional Tests (curl): ✅ PASSED (5/5 endpoints)
├─ POST /api/prds: 201 Created ✅
├─ GET /api/prds: 200 OK, returns array ✅
├─ GET /api/prds/{id}: 200 OK, returns object ✅
├─ PUT /api/prds/{id}: 200 OK ✅
└─ DELETE /api/prds/{id}: 204 No Content ✅

API Validation Tests: ✅ PASSED
├─ Invalid title (too short): 400 Bad Request ✅
├─ Missing required field: 422 Unprocessable Entity ✅
└─ Validation errors include field names ✅

Database Runtime: ✅ PASSED
├─ docker-compose up: postgres running
├─ psql connection: Success
├─ Tables exist: prds, users ✅
└─ Schema matches spec: ✅

Database Functional Tests: ✅ PASSED
├─ INSERT works: ✅
├─ SELECT works: ✅
├─ UPDATE works: ✅
├─ DELETE works: ✅
├─ NOT NULL enforced: ✅
└─ UNIQUE enforced: ✅

Integration Tests: ✅ PASSED (4/4)
├─ Frontend → Backend: API calls work, CORS configured ✅
├─ Backend → Database: ORM queries work, transactions commit ✅
├─ Database → Backend → Frontend: Query → API → UI display ✅
└─ Complete CRUD loop: Create → Read → Update → Delete all work ✅

NO MOCKS Compliance: ✅ PASSED (100%)
├─ Playwright tests: Real Chromium browser ✅
├─ API tests: Real HTTP via curl ✅
├─ Database tests: Real PostgreSQL ✅
└─ Zero mocks detected: ✅

Cross-Platform Verification: ✅ PASSED
├─ Mobile (375x667): ✅ Responsive, all features accessible
├─ Desktop (1920x1080): ✅ Full layout, optimal UX
├─ Chromium: ✅ Works
├─ Firefox: ✅ Works
└─ WebKit: ⚠️ Minor CSS issue (acceptable)

───────────────────────────────────────────────────────────────
OVERALL VERDICT
───────────────────────────────────────────────────────────────

✅ PASSED (97.3%)

Shannon successfully built production-ready PRD Creator application.

Summary:
- Flow Verification: 100% (all logic paths correct)
- Artifact Verification: 100% (all outputs present and correct)
- Functional Verification: 97% (minor WebKit CSS gap)

Gaps Found:
- Custom 404 error page missing (minor)
- WebKit CSS rendering issue (border-radius in one component)

Recommendations:
- Add custom 404 component
- Test WebKit-specific CSS

Deployment Readiness: ✅ PRODUCTION READY (with minor fixes)

═══════════════════════════════════════════════════════════════
VERIFICATION COMPLETE
═══════════════════════════════════════════════════════════════

Integration with Claude Agents SDK

Test Script Pattern

#!/usr/bin/env python3
"""
Shannon v5.0 Verification - PRD Creator Complete Build

Builds complete PRD Creator application via Shannon,
then verifies functionality using shannon-execution-verifier skill.

Usage: python test_prd_creator_complete.py
"""

import asyncio
import sys
from pathlib import Path
from claude_agent_sdk import query, ClaudeAgentOptions

async def main():
    print("=" * 80)
    print("SHANNON V5.0 - PRD CREATOR COMPLETE BUILD VERIFICATION")
    print("=" * 80)

    # Load Shannon plugin
    options = ClaudeAgentOptions(
        plugins=[{"type": "local", "path": "./shannon-plugin"}],
        model="claude-sonnet-4-5"
    )

    # Phase 1: Let Shannon build the application
    print("\nPhase 1: Shannon building PRD Creator...")
    print("This will take 30-60 minutes...")
    print()

    build_trace = []

    async for msg in query(
        prompt="""
        Build the PRD Creator application from specification.

        /shannon:spec @docs/ref/prd-creator-spec.md

        Then execute all waves to build complete application.
        """,
        options=options
    ):
        build_trace.append(msg)

        if msg.type == 'tool_call':
            print(f"  [{len(build_trace):4d}] Tool: {msg.tool_name}")
        elif msg.type == 'assistant' and msg.content:
            print(".", end="", flush=True)

    print(f"\n\nBuild complete. Captured {len(build_trace)} messages")

    # Phase 2: Comprehensive verification
    print("\nPhase 2: Verifying build with shannon-execution-verifier...")
    print()

    verification_report = []

    async for msg in query(
        prompt="""
        Skill("shannon-execution-verifier")

        Scenario: prd_creator
        Verification tier: comprehensive

        Perform three-layer verification:
        1. Flow Verification (execution trace analysis)
        2. Artifact Verification (files, memories, git)
        3. Functional Verification (runtime, curl, Playwright, integration)

        Verify across all domains: Frontend, Backend, Database, Testing

        Generate comprehensive report with pass/fail for each layer.
        """,
        options=options
    ):
        verification_report.append(msg)

        if msg.type == 'assistant':
            print(msg.content)

    # Exit code based on verification result
    # Parse final message for overall pass/fail
    final_message = verification_report[-1].content if verification_report else ""

    if "PASSED" in final_message and "OVERALL" in final_message:
        print("\n✅ PRD Creator verification: PASSED")
        return 0
    else:
        print("\n❌ PRD Creator verification: FAILED")
        return 1

if __name__ == '__main__':
    sys.exit(asyncio.run(main()))

Autonomous Execution Plan

User approved: "You may begin and keep executing. You don't necessarily need to check in."

Execution Sequence:

Step 1: Create shannon-execution-verifier skill (NOW)

Write SKILL.md (this document)
Create all supporting files (verifiers, inspectors, scenarios)
Test skill loads correctly

Step 2: Create test infrastructure (tests/ directory)

tests/requirements.txt (claude-agent-sdk)
tests/verify_prd_creator.py
tests/verify_claude_code_expo.py
tests/verify_repo_nexus.py
tests/verify_shannon_cli.py

Step 3: Execute Tier 1 - Analysis Verification

Run /shannon:spec on all 4 specifications
Verify execution flows
Document results to Serena

Step 4: Execute Tier 2 - Build PRD Creator

Run /shannon:wave to build complete application
Verify with shannon-execution-verifier
Document results to Serena
Fix any bugs found
Retest until passing

Step 5: Execute Tier 2 - Build Claude Code Expo

Build mobile application
Verify iOS Simulator functionality
Document results
Fix bugs, retest

Step 6: Execute Tier 2 - Build Repo Nexus

Build full-stack iOS application
Verify all integrations
Document results
Fix bugs, retest

Step 7: Execute Tier 2 - Build Shannon CLI (Meta-circular)

Build standalone CLI
Verify Shannon patterns implemented
Meta-circular validation
Document results
Fix bugs, retest

Step 8: Final documentation and release

Comprehensive findings report
Update v5 plan with results
README updates
Commit to feature branch
Prepare PR

Memory Tracking

All progress tracked in Serena:

SHANNON_V5_COMPREHENSIVE_VERIFICATION_PLAN (this document)
SHANNON_V5_TIER1_RESULTS (analysis verification results)
SHANNON_V5_PRD_CREATOR_BUILD (PRD Creator build & verification)
SHANNON_V5_MOBILE_BUILD (Claude Code Expo verification)
SHANNON_V5_FULLSTACK_BUILD (Repo Nexus verification)
SHANNON_V5_CLI_BUILD (Shannon CLI meta-circular)
SHANNON_V5_FINAL_SYNTHESIS (complete results and findings)

Success Criteria

Shannon v5.0 is complete when:

✅ ALL 4 applications built and functional
✅ All three verification layers pass (Flow, Artifacts, Functional)
✅ NO MOCKS compliance: 100%
✅ Cross-platform verification: >= 95%
✅ Integration tests: 100%
✅ Meta-circular test passes (Shannon CLI)
✅ Comprehensive documentation complete

READY FOR AUTONOMOUS EXECUTION

shannon-execution-verifier

$ Installer

allowed-tools: All

Shannon Execution Verifier - Comprehensive Build Validation

Purpose

When to Use

The Three-Layer Verification Model

Layer 1: Flow Verification (Execution Trace Analysis)

Layer 2: Artifact Verification (Physical Output Inspection)

Layer 3: Functional Verification (Runtime Testing)

Domain-Specific Verification

Frontend Verification (frontend_verifier.py)

Backend Verification (backend_verifier.py)

Database Verification (database_verifier.py)

Mobile Verification (mobile_verifier.py)

DevOps Verification (devops_verifier.py)

Complete Verification Workflow

Step 1: Execute Shannon Command

Step 2: Invoke Verification Skill

Step 3: Verification Skill Executes

Scenario Specifications

Scenario Structure (YAML)

Verification Report Format

Integration with Claude Agents SDK

Test Script Pattern

Autonomous Execution Plan

Execution Sequence:

Memory Tracking

Success Criteria

Repository

Actions

Related Skills