# Send Forge to your agent
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
## Fast path
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
## Suggested prompts
### New install

```text
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Then review README.md for any prerequisites, environment setup, or post-install checks. Tell me what you changed and call out any manual steps you could not complete.
```
### Upgrade existing

```text
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Then review README.md for any prerequisites, environment setup, or post-install checks. Summarize what changed and any follow-up checks I should run.
```
## Machine-readable fields
```json
{
  "schemaVersion": "1.0",
  "item": {
    "slug": "forge",
    "name": "Forge",
    "source": "tencent",
    "type": "skill",
    "category": "开发工具",
    "sourceUrl": "https://clawhub.ai/ikennaokpala/forge",
    "canonicalUrl": "https://clawhub.ai/ikennaokpala/forge",
    "targetPlatform": "OpenClaw"
  },
  "install": {
    "downloadUrl": "/downloads/forge",
    "sourceDownloadUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=forge",
    "sourcePlatform": "tencent",
    "targetPlatform": "OpenClaw",
    "packageFormat": "ZIP package",
    "primaryDoc": "SKILL.md",
    "includedAssets": [
      "CHANGELOG.md",
      "README.md",
      "SKILL.md"
    ],
    "downloadMode": "redirect",
    "sourceHealth": {
      "source": "tencent",
      "slug": "forge",
      "status": "healthy",
      "reason": "direct_download_ok",
      "recommendedAction": "download",
      "checkedAt": "2026-05-03T10:30:58.010Z",
      "expiresAt": "2026-05-10T10:30:58.010Z",
      "httpStatus": 200,
      "finalUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=forge",
      "contentType": "application/zip",
      "probeMethod": "head",
      "details": {
        "probeUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=forge",
        "contentDisposition": "attachment; filename=\"forge-1.0.0.zip\"",
        "redirectLocation": null,
        "bodySnippet": null,
        "slug": "forge"
      },
      "scope": "item",
      "summary": "Item download looks usable.",
      "detail": "Yavira can redirect you to the upstream package for this item.",
      "primaryActionLabel": "Download for OpenClaw",
      "primaryActionHref": "/downloads/forge"
    },
    "validation": {
      "installChecklist": [
        "Use the Yavira download entry.",
        "Review SKILL.md after the package is downloaded.",
        "Confirm the extracted package contains the expected setup assets."
      ],
      "postInstallChecks": [
        "Confirm the extracted package includes the expected docs or setup files.",
        "Validate the skill or prompts are available in your target agent workspace.",
        "Capture any manual follow-up steps the agent could not complete."
      ]
    }
  },
  "links": {
    "detailUrl": "https://openagent3.xyz/skills/forge",
    "downloadUrl": "https://openagent3.xyz/downloads/forge",
    "agentUrl": "https://openagent3.xyz/skills/forge/agent",
    "manifestUrl": "https://openagent3.xyz/skills/forge/agent.json",
    "briefUrl": "https://openagent3.xyz/skills/forge/agent.md"
  }
}
```
## Documentation

### Forge — Autonomous Quality Engineering Swarm

Quality forged in, not bolted on.

Forge is a self-learning, autonomous quality engineering swarm that unifies three approaches into one:

PillarSourceWhat It DoesBuildDDD+ADR+TDD methodologyStructured development with quality gates, defect prediction, confidence-tiered fixesVerifyBDD/Gherkin behavioral specsContinuous behavioral verification — the PRODUCT works, not just the CODEHealAutonomous E2E fix loopTest → Analyze → Fix → Commit → Learn → Repeat

"DONE DONE" means: the code compiles AND the product behaves as specified. Every Gherkin scenario passes. Every quality gate clears. Every dependency graph is satisfied.

### ARCHITECTURE ADAPTABILITY

Forge adapts to any project architecture. Before first run, it discovers your project structure:

### Supported Architectures

ArchitectureHow Forge AdaptsMonolithSingle backend process, all contexts in one codebase. Forge runs all tests against one server.Modular MonolithSingle deployment with bounded contexts as modules. Forge discovers modules and tests each context independently.MicroservicesMultiple services. Forge discovers service endpoints, tests each service, validates inter-service contracts.MonorepoMultiple apps/packages in one repo. Forge detects workspace structure (Turborepo, Nx, Lerna, Melos, Cargo workspace).Mobile + BackendFrontend app with backend API. Forge starts backend, then runs E2E tests against it.Full-Stack MonolithFrontend and backend in same deployment. Forge tests through the UI layer against real backend.

### Project Discovery

On first invocation, Forge analyzes the project to build a context map:

# Forge automatically discovers:
# 1. Backend technology (Rust/Cargo, Node/npm, Python/pip, Go, Java/Maven/Gradle, .NET)
# 2. Frontend technology (Flutter, React, Next.js, Vue, Angular, SwiftUI, Kotlin/Compose)
# 3. Test framework (integration_test, Jest, Pytest, Go test, JUnit, xUnit)
# 4. Project structure (monorepo layout, service boundaries, module boundaries)
# 5. API protocol (REST, GraphQL, gRPC, WebSocket)
# 6. Build system (Make, npm scripts, Gradle tasks, Cargo features)

Forge stores the discovered project map:

{
  "architecture": "mobile-backend",
  "backend": {
    "technology": "rust",
    "buildCommand": "cargo build --release --features test-endpoints",
    "runCommand": "cargo run --release --features test-endpoints",
    "healthEndpoint": "/health",
    "port": 8080,
    "migrationCommand": "cargo sqlx migrate run"
  },
  "frontend": {
    "technology": "flutter",
    "testCommand": "flutter drive --driver=test_driver/integration_test.dart --target={target}",
    "testDir": "integration_test/e2e/",
    "specDir": "integration_test/e2e/specs/"
  },
  "contexts": ["identity", "rides", "payments", "..."],
  "testDataSeeding": {
    "method": "api",
    "endpoint": "/api/v1/test/seed",
    "authHeader": "X-Test-Key"
  }
}

### Configuration Override

Projects can provide a forge.config.yaml at the repo root to override auto-discovery:

# forge.config.yaml (optional — Forge auto-discovers if absent)
architecture: microservices
backend:
  services:
    - name: auth-service
      port: 8081
      healthEndpoint: /health
      buildCommand: npm run build
      runCommand: npm start
    - name: payment-service
      port: 8082
      healthEndpoint: /health
      buildCommand: npm run build
      runCommand: npm start
frontend:
  technology: react
  testCommand: npx cypress run --spec {target}
  testDir: cypress/e2e/
  specDir: cypress/e2e/specs/
contexts:
  - name: identity
    testFile: auth.cy.ts
    specFile: identity.feature
  - name: payments
    testFile: payments.cy.ts
    specFile: payments.feature
dependencies:
  identity:
    blocks: [payments, orders]
  payments:
    depends_on: [identity]
    blocks: [orders]

### CRITICAL: NO MOCKING OR STUBBING ALLOWED

ABSOLUTE RULE: This skill NEVER uses mocking or stubbing of the backend API.

ALL tests run against the REAL backend API
NO mocking frameworks for API calls (no mockito, wiremock, MockClient, nock, msw, httpretty, etc.)
NO stubbed responses or fake data from API endpoints
The backend MUST be running and healthy before any tests execute
Test data is seeded through REAL API calls, not mocked state

Why No Mocking:

Mocks hide real integration bugs
Mocks create false confidence
Mocks don't test the actual data flow
Real API tests catch serialization, validation, and timing issues

### PHASE 0: BACKEND SETUP (MANDATORY FIRST STEP)

BEFORE ANY TESTING, the backend MUST be built, compiled, and running.

This is the FIRST thing the skill does — no exceptions.

### Step 1: Check and Start Backend

# 1. Read project config or auto-discover backend settings
# 2. Check if backend is already running
curl -s http://localhost:${BACKEND_PORT}/${HEALTH_ENDPOINT} || {
  echo "Backend not running. Starting..."

  # 3. Navigate to backend directory
  cd ${BACKEND_DIR}

  # 4. Ensure environment is configured
  cp .env.example .env 2>/dev/null || true

  # 5. Build the backend
  ${BUILD_COMMAND}

  # 6. Run database migrations (if applicable)
  ${MIGRATION_COMMAND}

  # 7. Start backend (background)
  nohup ${RUN_COMMAND} > backend.log 2>&1 &
  echo $! > backend.pid

  # 8. Wait for backend to be healthy (up to 60 seconds)
  for i in {1..60}; do
    if curl -s http://localhost:${BACKEND_PORT}/${HEALTH_ENDPOINT} | grep -q "ok\\|healthy\\|UP"; then
      echo "Backend healthy on port ${BACKEND_PORT}"
      break
    fi
    sleep 1
  done
}

### Step 2: Verify Backend Health

# Verify critical endpoints are responding
curl -s http://localhost:${BACKEND_PORT}/${HEALTH_ENDPOINT} | jq .

# Verify test fixtures endpoint (for seeding)
curl -s -H "${TEST_AUTH_HEADER}" http://localhost:${BACKEND_PORT}/${TEST_STATUS_ENDPOINT} | jq .

### Step 3: Contract Validation

# Verify API spec matches running API (if OpenAPI/Swagger available)
curl -s http://localhost:${BACKEND_PORT}/${OPENAPI_ENDPOINT} > /tmp/live-spec.json

# Store contract snapshot for regression detection
npx @claude-flow/cli@latest memory store \\
  --key "contract-snapshot-$(date +%s)" \\
  --value "$(cat /tmp/live-spec.json | head -c 5000)" \\
  --namespace forge-contracts

### Step 4: Seed Test Data (Real API Calls)

# Seed test data through REAL API — adapt to your project's seeding endpoint
curl -X POST http://localhost:${BACKEND_PORT}/${SEED_ENDPOINT} \\
  -H "Content-Type: application/json" \\
  -H "${TEST_AUTH_HEADER}" \\
  -d '${SEED_PAYLOAD}'

### PHASE 1: BEHAVIORAL SPECIFICATION & ARCHITECTURE RECORDS

Before testing, verify Gherkin specs and architecture decision records exist for the target bounded context.

Behavioral specifications define WHAT the product does from the user's perspective. Every test traces back to a Gherkin scenario. If tests pass but specs fail, the product is broken.

### Spec Location

Gherkin specs are stored alongside tests:

${SPEC_DIR}/
├── [context-a].feature
├── [context-b].feature
├── [context-c].feature
└── ...

The exact location depends on your project's test structure. Forge auto-discovers this from the project map.

### Spec-to-Test Mapping

Each Gherkin Scenario maps to exactly one test function. The mapping is tracked:

Feature: [Context Name]
  As a [user role]
  I want to [action]
  So that [outcome]

  Scenario: [Descriptive scenario name]
    Given [precondition]
    When [action]
    Then [expected result]
    And [additional verification]

### Missing Spec Generation

If specs are missing for a target context, the Specification Verifier agent creates them:

Read the screen/component/route implementation files for the context
Extract all user-visible features, interactions, and states
Generate Gherkin scenarios covering every cyclomatic path
Write to ${SPEC_DIR}/[context].feature
Map each scenario to its corresponding test function

### Agent-Optimized ADR Generation

When Forge discovers a bounded context without an Architecture Decision Record, the Specification Verifier generates one. ADRs follow an agent-optimized format designed for machine consumption:

# ADR-NNN: [Context] Architecture Decision

## Status
Proposed | Accepted | Deprecated | Superseded by ADR-XXX

## MUST
- [Explicit required behaviors with contract references]
- [Link to OpenAPI spec: /api/v1/[context]/openapi.json]
- [Required integration patterns]

## MUST NOT
- [Explicit forbidden patterns]
- [Anti-patterns to avoid]
- [Coupling violations]

## Verification
- Command: [command to verify this decision holds]
- Expected: [expected output or exit code]

## Dependencies
- Depends on: [list of upstream contexts with ADR links]
- Blocks: [list of downstream contexts with ADR links]

ADR Storage:

ADRs are stored in docs/decisions/ or the project-configured ADR directory
Each bounded context has exactly one ADR
ADRs are updated when contracts change or new dependencies are discovered
The Specification Verifier agent includes ADR generation in its workflow

### Contract Validation

Before running tests, verify API response schemas match expected DTOs:

# For each endpoint the context uses:
# 1. Make a real API call
# 2. Compare response structure against expected DTO/schema
# 3. Flag any mismatches as contract violations

Contract violations are treated as Gate 7 failures and must be resolved before functional testing proceeds.

### Shared Types Validation

For bounded contexts that share dependencies, validate type consistency across context boundaries:

Identify shared DTOs/models — For each context, extract types used in API requests and responses
Cross-reference types — Compare DTOs between contexts that share dependencies (from the dependency graph)
Flag type mismatches — e.g., context A expects userId: string but context B sends userId: number
Validate value objects — Ensure value objects (email, money, address) follow consistent patterns across contexts
Report violations — Flag as pre-Gate warnings with specific file locations and expected vs actual types

{
  "sharedTypeViolation": {
    "type": "UserId",
    "contextA": { "name": "payments", "file": "types/payment.ts", "definition": "string" },
    "contextB": { "name": "orders", "file": "types/order.ts", "definition": "number" },
    "severity": "error"
  }
}

### Cross-Cutting Foundation Validation

Verify cross-cutting concerns are consistent across all bounded contexts:

Auth patterns — Same header format (Authorization: Bearer <token>), same token validation approach across all endpoints
Error response format — All API endpoints return errors in the project's standard format (consistent structure, error codes, HTTP status codes)
Logging patterns — Consistent log levels, structured format, and correlation IDs across contexts
Pagination format — Consistent pagination parameters and response format across collection endpoints

Cross-cutting violations are reported as warnings before Gate evaluation begins.

### Dependency Graph

Bounded contexts have dependencies. When a fix touches context X, all contexts that depend on X must be re-tested.

# Context Dependency Map — define in forge.config.yaml or auto-discover
# Example for a typical application:
#
# authentication:
#   depends_on: []
#   blocks: [orders, payments, profile, messaging]
#
# payments:
#   depends_on: [authentication]
#   blocks: [orders, subscriptions]
#
# orders:
#   depends_on: [authentication, payments]
#   blocks: [reviews, notifications]

### Cascade Re-Testing

When Bug Fixer modifies a file in context X:

Identify which context X belongs to
Look up all contexts in blocks list for X
After X's tests pass, automatically re-run tests for blocked contexts
If a cascade failure occurs, trace it back to the original fix

### PHASE 3: SWARM INITIALIZATION

# Initialize anti-drift swarm for Forge
npx @claude-flow/cli@latest swarm init --topology hierarchical --max-agents 10 --strategy specialized

# Load previous fix patterns from memory
npx @claude-flow/cli@latest memory search --query "forge fix patterns" --namespace forge-patterns

# Check current coverage and gate status
npx @claude-flow/cli@latest memory retrieve --key "forge-coverage-status" --namespace forge-state

# Load confidence tiers
npx @claude-flow/cli@latest memory search --query "confidence tier" --namespace forge-patterns

# Check defect predictions for target context
npx @claude-flow/cli@latest memory search --query "defect prediction" --namespace forge-predictions

### MODEL ROUTING

Forge routes each agent to the appropriate model tier based on task complexity, optimizing for cost without sacrificing quality:

AgentModelRationaleSpecification VerifiersonnetReads code + generates Gherkin — moderate reasoningTest RunnerhaikuStructured execution, output parsing — low reasoningFailure AnalyzersonnetRoot cause analysis — moderate reasoningBug FixeropusFirst-principles code fixes — high reasoningQuality Gate EnforcerhaikuThreshold comparison — low reasoningAccessibility AuditorsonnetCode analysis + WCAG rules — moderate reasoningAuto-CommitterhaikuGit operations, message formatting — low reasoningLearning OptimizersonnetPattern analysis, prediction — moderate reasoning

Projects can override model assignments in forge.config.yaml:

# forge.config.yaml — Model routing overrides (optional)
model_routing:
  spec-verifier: sonnet
  test-runner: haiku
  failure-analyzer: sonnet
  bug-fixer: opus
  gate-enforcer: haiku
  accessibility-auditor: sonnet
  auto-committer: haiku
  learning-optimizer: sonnet

When no override is specified, the defaults above are used. This routing reduces token cost by ~60% compared to running all agents on the highest-tier model.

### PHASE 4: SPAWN AUTONOMOUS AGENTS

Claude Code MUST spawn these 8 agents in a SINGLE message with run_in_background: true:

// Agent 1: Specification Verifier
Task({
  model: "sonnet",
  prompt: \`You are the Specification Verifier agent. Your mission:

    1. VERIFY backend is running: curl -sf http://localhost:${BACKEND_PORT}/${HEALTH_ENDPOINT}
    2. Check if Gherkin specs exist for the target bounded context:
       - Look in the project's spec directory
    3. If specs are MISSING:
       - Read the screen/component/route implementation files for the context
       - Extract all user-visible features, interactions, states
       - Generate Gherkin feature files with scenarios for every cyclomatic path
       - Write specs to the correct location
    4. If specs EXIST:
       - Read current implementations
       - Compare against existing scenarios
       - Flag scenarios that no longer match implementation (stale specs)
       - Generate new scenarios for uncovered features
    5. Create spec-to-test mapping:
       - Each Scenario name → test function name
       - Store mapping in memory for Test Runner
    6. Store results:
       npx @claude-flow/cli@latest memory store --key "specs-[context]-[timestamp]" \\
         --value "[spec status JSON]" --namespace forge-specs

    CONSTRAINTS:
    - NEVER generate specs for code you haven't read
    - NEVER assume UI elements exist without checking implementation
    - NEVER create scenarios that duplicate existing coverage
    - NEVER modify existing test files — only spec files

    ACCEPTANCE:
    - Every implementation file has at least one Gherkin scenario
    - Spec-to-test mapping has zero unmapped entries
    - All generated scenarios follow Given/When/Then format
    - Results stored in forge-specs namespace

    Output: List of all Gherkin scenarios with their mapped test functions, and any gaps found.\`,
  subagent_type: "researcher",
  description: "Spec Verification",
  run_in_background: true
})

// Agent 2: Test Runner
Task({
  model: "haiku",
  prompt: \`You are the Test Runner agent. Your mission:

    1. VERIFY backend is running
    2. Check defect predictions from memory:
       npx @claude-flow/cli@latest memory search --query "defect prediction [context]" --namespace forge-predictions
       - Run predicted-to-fail tests FIRST for faster convergence
    3. Run the E2E test suite for the specified context using the project's test command
    4. Capture ALL test output including stack traces
    5. Parse failures into structured format:
       {testId, gherkinScenario, error, stackTrace, file, line, context}
    6. Map each failure to its Gherkin scenario (from spec-to-test mapping)
    7. Store results in memory for other agents:
       npx @claude-flow/cli@latest memory store \\
         --key "test-run-[timestamp]" \\
         --value "[parsed results JSON]" \\
         --namespace forge-results

    CONSTRAINTS:
    - NEVER skip failing tests
    - NEVER modify test code or source code
    - NEVER mock API calls or stub responses
    - NEVER continue if backend health check fails

    ACCEPTANCE:
    - All test results stored in memory with structured format
    - Zero unparsed failures — every failure has testId, error, stackTrace, file, line
    - Predicted-to-fail tests executed first
    - Results include Gherkin scenario mapping for every test\`,
  subagent_type: "tester",
  description: "Test Runner",
  run_in_background: true
})

// Agent 3: Failure Analyzer
Task({
  model: "sonnet",
  prompt: \`You are the Failure Analyzer agent. Your mission:

    1. Monitor memory for new test results from Test Runner
    2. For each failure, analyze:
       - Root cause category: element-not-found, assertion-failed, timeout,
         api-mismatch, navigation-error, state-error, contract-violation
       - Affected file and line number
       - Which Gherkin scenario is violated
       - Impact on dependent contexts (check dependency graph)
    3. Search memory for matching fix patterns with confidence tiers:
       npx @claude-flow/cli@latest memory search \\
         --query "[error pattern]" --namespace forge-patterns
    4. If pattern found with confidence >= 0.85 (Gold+):
       - Recommend auto-apply
       - Include pattern key and success rate
    5. If pattern found with confidence >= 0.75 (Silver):
       - Suggest fix but flag for review
    6. If no matching pattern:
       - Perform root cause analysis from first principles
       - Generate fix hypothesis
    7. Store analysis in memory for Bug Fixer:
       npx @claude-flow/cli@latest memory store \\
         --key "analysis-[testId]-[timestamp]" \\
         --value "[analysis JSON]" \\
         --namespace forge-results

    CONSTRAINTS:
    - NEVER assume root cause without stack trace evidence
    - NEVER recommend fixes for passing tests
    - NEVER skip dependency graph impact analysis
    - NEVER override confidence tier thresholds

    ACCEPTANCE:
    - Every failure has a root cause category and affected file
    - Zero unanalyzed failures
    - Dependency impact documented for every failure
    - Pattern search executed for every error type\`,
  subagent_type: "researcher",
  description: "Failure Analyzer",
  run_in_background: true
})

// Agent 4: Bug Fixer
Task({
  model: "opus",
  prompt: \`You are the Bug Fixer agent. Your mission:

    1. Retrieve failure analysis from memory
    2. For each failure, apply fix using confidence-tiered approach:

       PLATINUM (>= 0.95 confidence):
       - Auto-apply the stored fix pattern immediately
       - No review needed

       GOLD (>= 0.85 confidence):
       - Auto-apply the stored fix pattern
       - Flag in commit message for awareness

       SILVER (>= 0.75 confidence):
       - Read the failing test file and source file
       - Apply suggested fix with extra verification
       - Run targeted test before proceeding

       BRONZE or NO PATTERN:
       - Read the failing test file
       - Read the source file causing the failure
       - Implement fix from first principles
       - Use defensive patterns appropriate to the test framework

    3. After fixing, identify affected context:
       - Check dependency graph for cascade impacts
       - Flag dependent contexts for re-testing

    4. Store the fix pattern with initial confidence:
       npx @claude-flow/cli@latest memory store \\
         --key "fix-[error-type]-[hash]" \\
         --value '{"pattern":"[fix]","confidence":0.75,"tier":"silver","applied":1,"successes":0}' \\
         --namespace forge-patterns

    5. Signal Test Runner to re-run affected tests
    6. Signal Quality Gate Enforcer to check all 7 gates

    CONSTRAINTS:
    - NEVER change test assertions to make tests pass
    - NEVER modify Gherkin specs to match broken behavior
    - NEVER introduce new dependencies without flagging
    - NEVER apply fixes without reading both test file and source file

    ACCEPTANCE:
    - Every applied fix has a targeted test re-run result
    - Zero fixes without verification
    - Fix pattern stored with initial confidence score
    - Cascade impacts identified and flagged for re-testing\`,
  subagent_type: "coder",
  description: "Bug Fixer",
  run_in_background: true
})

// Agent 5: Quality Gate Enforcer
Task({
  model: "haiku",
  prompt: \`You are the Quality Gate Enforcer agent. Your mission:

    After each fix cycle, evaluate ALL 7 quality gates:

    GATE 1 — FUNCTIONAL (100% required):
    - All tests in the target context pass
    - No regressions in previously passing tests

    GATE 2 — BEHAVIORAL (100% of targeted scenarios):
    - Every Gherkin scenario that was targeted has a passing test
    - Spec-to-test mapping is complete (no unmapped scenarios)

    GATE 3 — COVERAGE (>=85% overall, >=95% critical paths):
    - Calculate path coverage for the context
    - Critical paths: authentication, payment, core workflows
    - Non-critical paths: preferences, history, settings

    GATE 4 — SECURITY (0 critical/high violations):
    - No hardcoded API keys, tokens, or secrets in test files
    - No hardcoded test credentials (use env vars or test fixtures)
    - Secure storage patterns used (no plaintext sensitive data)
    - No SQL injection vectors in dynamic queries
    - No XSS vectors in rendered output
    - No path traversal in file operations
    - Dependencies have no known critical CVEs (when lockfile available)
    - When AQE available: delegate to security-scanner for full SAST analysis

    GATE 5 — ACCESSIBILITY (WCAG AA):
    - All interactive elements have accessible labels
    - Touch/click targets meet minimum size requirements
    - Color contrast meets WCAG AA ratios
    - Screen reader navigation order is logical

    GATE 6 — RESILIENCE (tested for target context):
    - Offline/disconnected state handled gracefully
    - Timeout handling shows user-friendly message
    - Error states show retry option
    - Server errors show generic error, not stack trace

    GATE 7 — CONTRACT (0 mismatches):
    - API responses match expected schemas
    - No unexpected null fields
    - Enum values match expected set
    - Pagination format is consistent

    For each gate:
    - Status: PASS / FAIL / SKIP (with reason)
    - Details: what passed, what failed
    - Blocking: whether this gate blocks the commit

    Store gate results:
    npx @claude-flow/cli@latest memory store \\
      --key "gates-[context]-[timestamp]" \\
      --value "[gate results JSON]" \\
      --namespace forge-state

    ONLY signal Auto-Committer when ALL 7 GATES PASS.

    CONSTRAINTS:
    - NEVER approve a commit with ANY blocking gate failure
    - NEVER lower thresholds below defined minimums
    - NEVER skip gate evaluation — all 7 gates must be assessed
    - NEVER mark a gate as PASS without evidence

    ACCEPTANCE:
    - Gate results stored in memory with PASS/FAIL/SKIP for all 7 gates
    - Every FAIL includes specific details of what failed
    - Every SKIP includes reason for skipping
    - Auto-Committer only signaled when all blocking gates pass\`,
  subagent_type: "reviewer",
  description: "Quality Gate Enforcer",
  run_in_background: true
})

// Agent 6: Accessibility Auditor
Task({
  model: "sonnet",
  prompt: \`You are the Accessibility Auditor agent. Your mission:

    1. For each screen/page/component in the target context, audit:

    LABELS:
    - Every interactive element has an accessible label/aria-label/Semantics label
    - Labels are descriptive (not "button1" but "Submit payment")
    - Images have alt text or semantic labels

    TOUCH/CLICK TARGETS:
    - All interactive elements meet minimum size (48x48dp mobile, 44x44px web)
    - Flag any undersized targets

    CONTRAST:
    - Text on colored backgrounds meets WCAG AA ratio (4.5:1 normal, 3:1 large)
    - Flag low-contrast combinations

    SCREEN READER:
    - Accessibility tree has logical reading order
    - No duplicate or misleading labels
    - Form fields have associated labels

    FOCUS/TAB ORDER:
    - Focus order follows visual layout
    - Focus trap in modals/dialogs
    - Focus returns to trigger after dialog closes

    2. Generate findings as:
       {severity: "critical"|"warning"|"info", element, file, line, issue, fix}

    3. Store audit results:
       npx @claude-flow/cli@latest memory store \\
         --key "a11y-[context]-[timestamp]" \\
         --value "[audit JSON]" \\
         --namespace forge-state

    CONSTRAINTS:
    - NEVER skip interactive elements during audit
    - NEVER report false positives for decorative images
    - NEVER ignore focus/tab order analysis
    - NEVER apply fixes — only report findings for Bug Fixer

    ACCEPTANCE:
    - Every interactive element audited
    - Findings stored with severity, element, file, line, issue, fix
    - Zero unaudited interactive elements in target context
    - WCAG AA compliance level assessed for every screen\`,
  subagent_type: "analyst",
  description: "Accessibility Auditor",
  run_in_background: true
})

// Agent 7: Auto-Committer
Task({
  model: "haiku",
  prompt: \`You are the Auto-Committer agent. Your mission:

    1. Monitor for successful fixes where ALL 7 QUALITY GATES PASS
    2. For each successful fix:
       - Stage only the fixed files (never git add -A)
       - Create detailed commit message:

         fix(forge): Fix [TEST_ID] - [brief description]

         Behavioral Spec: [Gherkin scenario name]
         Root Cause: [what caused the failure]
         - [specific issue 1]
         - [specific issue 2]

         Fix Applied:
         - [change 1]
         - [change 2]

         Quality Gates:
         - Functional: PASS
         - Behavioral: PASS
         - Coverage: [X]%
         - Security: PASS
         - Accessibility: PASS
         - Resilience: PASS
         - Contract: PASS

         Confidence Tier: [platinum|gold|silver|bronze]
         Pattern Stored: fix-[error-type]-[hash]

       - Commit with the message above
    3. Update coverage report with new passing paths
    4. Store commit hash in memory for rollback capability:
       npx @claude-flow/cli@latest memory store \\
         --key "commit-[hash]" \\
         --value "[commit details JSON]" \\
         --namespace forge-commits
    5. Store last known good commit:
       npx @claude-flow/cli@latest memory store \\
         --key "last-green-commit" \\
         --value "[hash]" \\
         --namespace forge-state

    CONSTRAINTS:
    - NEVER use git add -A or git add .
    - NEVER commit without all 7 gates passing
    - NEVER amend previous commits
    - NEVER push to remote — only local commits

    ACCEPTANCE:
    - Commit message includes Behavioral Spec, Root Cause, Fix Applied, all 7 gate statuses
    - Only fixed files are staged (no unrelated files)
    - Commit hash stored in forge-commits namespace
    - Last green commit updated in forge-state namespace\`,
  subagent_type: "reviewer",
  description: "Auto-Committer",
  run_in_background: true
})

// Agent 8: Learning Optimizer
Task({
  model: "sonnet",
  prompt: \`You are the Learning Optimizer agent. Your mission:

    1. After each test cycle, analyze patterns:
       - Which error types fail most often?
       - Which fix patterns have highest success rate?
       - What new defensive patterns should be added?
       - Which Gherkin scenarios are most fragile?

    2. UPDATE CONFIDENCE TIERS:
       For each fix pattern applied this cycle:
       - If fix succeeded: confidence += 0.05 (cap at 1.0)
         - If confidence crosses 0.95: promote to Platinum
         - If confidence crosses 0.85: promote to Gold
       - If fix failed: confidence -= 0.10 (floor at 0.0)
         - If confidence drops below 0.70: demote to Bronze (learning-only)
       Store updated pattern:
       npx @claude-flow/cli@latest memory store \\
         --key "fix-[error-type]-[hash]" \\
         --value "[updated pattern JSON]" \\
         --namespace forge-patterns

    3. DEFECT PREDICTION:
       Analyze which contexts/files are likely to fail next:
       - Files changed since last green run
       - Historical failure rate per context
       - Complexity of recent changes
       Store prediction:
       npx @claude-flow/cli@latest memory store \\
         --key "prediction-[date]" \\
         --value "[prediction JSON]" \\
         --namespace forge-predictions

    4. Train neural patterns on successful fixes:
       npx @claude-flow/cli@latest hooks post-task \\
         --task-id "forge-cycle" --success true --store-results true

    5. Update coverage status:
       npx @claude-flow/cli@latest memory store \\
         --key "forge-coverage-status" \\
         --value "[updated coverage JSON]" \\
         --namespace forge-state

    6. Generate recommendations for test improvements
    7. Export learning metrics:
       npx @claude-flow/cli@latest neural train --pattern-type forge-fixes --epochs 5

    CONSTRAINTS:
    - NEVER promote a pattern that failed in the current cycle
    - NEVER delete patterns — only demote below Bronze threshold
    - NEVER override confidence scores without evidence from test results
    - NEVER generate predictions without historical data

    ACCEPTANCE:
    - All applied patterns have updated confidence scores
    - Prediction stored for next run with context-level probabilities
    - Coverage status updated in forge-state namespace
    - Zero patterns promoted without success evidence\`,
  subagent_type: "researcher",
  description: "Learning Optimizer",
  run_in_background: true
})

### PHASE 5: QUALITY GATES

7 gates evaluated after each fix cycle. ALL must pass before a commit is created.

GateCheckThresholdBlocking1. FunctionalAll tests pass100% pass rateYES2. BehavioralGherkin scenarios satisfied100% of targeted scenariosYES3. CoveragePath coverage>=85% overall, >=95% criticalYES (critical only)4. SecurityNo hardcoded secrets, secure storage, SAST checks0 critical/high violationsYES5. AccessibilityAccessible labels, target sizes, contrastWCAG AAWarning only6. ResilienceOffline handling, timeout handling, error statesTested for target contextWarning only7. ContractAPI response matches expected schema0 mismatchesYES

### Gate Failure Categories

When gates fail, failures are categorized for targeted re-runs:

Functional failures → Re-run Bug Fixer on failing tests
Behavioral failures → Check spec-to-test mapping, may need new tests
Coverage failures → Generate additional test paths
Security failures → Fix hardcoded values, update storage patterns
Accessibility failures → Add accessible labels, fix target sizes
Resilience failures → Add offline/error state handling
Contract failures → Update DTOs or flag API regression

### AUTONOMOUS EXECUTION LOOP

┌────────────────────────────────────────────────────────────────────────┐
│                      FORGE AUTONOMOUS LOOP                             │
├────────────────────────────────────────────────────────────────────────┤
│                                                                        │
│  ┌──────────┐    ┌──────────┐    ┌──────────┐    ┌──────────┐        │
│  │ Specify  │───▶│   Test   │───▶│ Analyze  │───▶│   Fix    │        │
│  │ (Gherkin)│    │ (Run)    │    │ (Root    │    │ (Tiered) │        │
│  └──────────┘    └──────────┘    │  Cause)  │    └──────────┘        │
│       ▲                          └──────────┘         │               │
│       │                                               ▼               │
│  ┌──────────┐    ┌──────────┐    ┌──────────┐    ┌──────────┐        │
│  │  Learn   │◀───│  Commit  │◀───│  Gate    │◀───│  Audit   │        │
│  │ (Update  │    │ (Auto)   │    │ (7 Gates)│    │ (A11y)   │        │
│  │  Tiers)  │    └──────────┘    └──────────┘    └──────────┘        │
│  └──────────┘                                                         │
│       │                                                                │
│       └───────────────── REPEAT ──────────────────────────────────────│
│                                                                        │
│  Loop continues until: ALL 7 GATES PASS or MAX_ITERATIONS (10)        │
│  Gate failures are categorized for targeted re-runs (not full re-run) │
└────────────────────────────────────────────────────────────────────────┘

### REAL-TIME PROGRESS REPORTING

Each agent emits structured progress events during execution for observability:

{"agent": "spec-verifier", "event": "spec_generated", "context": "payments", "scenarios": 12}
{"agent": "test-runner", "event": "test_started", "context": "payments", "test": "user_can_pay"}
{"agent": "test-runner", "event": "test_completed", "context": "payments", "passed": 10, "failed": 2}
{"agent": "failure-analyzer", "event": "root_cause_found", "test": "user_can_pay", "cause": "timeout"}
{"agent": "bug-fixer", "event": "fix_applied", "file": "payments.ts", "confidence": 0.92}
{"agent": "gate-enforcer", "event": "gate_evaluated", "gate": "functional", "status": "PASS"}
{"agent": "auto-committer", "event": "committed", "hash": "abc123", "tests_fixed": 2}
{"agent": "learning-optimizer", "event": "pattern_updated", "pattern": "fix-timeout-xyz", "tier": "gold"}

Progress File:

Events are appended to .forge/progress.jsonl (one JSON object per line)
File is created at the start of each Forge run and truncated
Tools can tail this file for real-time monitoring: tail -f .forge/progress.jsonl

Integration with Agentic QE AG-UI:

When the AQE AG-UI protocol is available, events stream directly to the user interface
Users see live progress: which gate is being evaluated, which test is running, which fix is being applied
When running in Claude Code without AG-UI, progress is visible through agent output files

### CONFIDENCE TIERS FOR FIX PATTERNS

Every fix pattern is tracked with a confidence score that evolves over time:

{
  "key": "fix-element-not-found-abc123",
  "pattern": {
    "error": "Element not found / No element",
    "fix": "Ensure element is rendered and visible before interaction",
    "files_affected": ["*_test.*"],
    "context": "any"
  },
  "tier": "gold",
  "confidence": 0.92,
  "auto_apply": true,
  "applied_count": 47,
  "success_count": 43,
  "success_rate": 0.915,
  "last_applied": "2026-02-06T14:30:00Z",
  "last_failed": "2026-02-01T09:15:00Z"
}

### Tier Thresholds

TierConfidenceAuto-ApplyBehaviorPlatinum>= 0.95YesApply immediately without reviewGold>= 0.85YesApply and flag in commit messageSilver>= 0.75NoSuggest to Bug Fixer, don't auto-applyBronze>= 0.70NoStore for learning only, never auto-applyExpired< 0.70NoPattern demoted, needs revalidation

### Confidence Updates

After each application:

Success: confidence += 0.05 (capped at 1.0)
Failure: confidence -= 0.10 (floored at 0.0)
Tier promotion when crossing threshold upward
Tier demotion when crossing threshold downward

### DEFECT PREDICTION

Before running tests, the Learning Optimizer analyzes historical data to predict which tests are most likely to fail:

### Input Signals

Files changed since last green run (git diff against last-green-commit)
Historical failure rates per bounded context (from forge-results namespace)
Fix pattern freshness — recently applied fixes are more likely to regress
Complexity metrics — contexts with more cyclomatic paths fail more often
Dependency chain length — deeper dependency chains have higher failure rates

### Prediction Output

{
  "date": "2026-02-07",
  "predictions": [
    { "context": "payments", "probability": 0.73, "reason": "3 files changed in payment module" },
    { "context": "orders", "probability": 0.45, "reason": "depends on payments (changed)" },
    { "context": "identity", "probability": 0.12, "reason": "no changes, stable history" }
  ],
  "recommended_order": ["payments", "orders", "identity"]
}

Tests are executed in descending probability order — predicted-to-fail tests run FIRST for faster convergence.

### General UI Element Edge Cases

For EVERY interactive element, test:

Interaction States

Single interaction → expected action
Repeated rapid interaction → no duplicate action
Long press / right-click → context menu if applicable
Disabled state → no action, visual feedback



Input Field States

Empty → placeholder visible
Focus → visual focus indicator
Valid input → no error
Invalid input → error message
Max length reached → prevents further input
Paste → validates pasted content
Clear → resets to empty



Async Operation States

Before load → loading indicator
During load → spinner, disabled submit
Success → data displayed, spinner gone
Error → error message, retry option
Timeout → timeout message, retry option



Navigation Edge Cases

Back navigation → previous screen or exit confirmation
Deep link → correct screen with params
Invalid deep link → fallback/error screen
Browser forward/back (web) → correct state



Scroll Edge Cases

Overscroll → appropriate feedback
Scroll to hidden content → content becomes visible
Keyboard appears → scroll to focused field

### Network Edge Cases

No internet → offline indicator, cached data if available
Slow connection → loading states persist, timeout handling
Connection restored → auto-retry pending operations
Server error 500 → generic error message
Auth error 401 → redirect to login
Permission error 403 → permission denied message
Not found 404 → "not found" message

### Chaos Testing (Resilience)

For each target context, inject controlled failures:

Timeout injection → API calls take >10s → verify timeout UI
Partial response → API returns incomplete data → verify graceful degradation
Rate limiting → API returns 429 → verify retry-after behavior
Concurrent mutations → Multiple clients modify same resource → verify conflict handling
Session expiry → Token expires mid-flow → verify re-auth prompt

### Visual Regression Testing

For UI-heavy projects, Forge captures and compares screenshots to detect unintended visual changes:

Before fix — Capture baseline screenshots of all screens in the target context
After fix — Capture new screenshots of the same screens
Compare — Pixel-by-pixel comparison with configurable threshold (default: 0.1% diff tolerance)
Report — Flag visual regressions as Gate 5 (Accessibility) warnings
Store — Save screenshot diffs in memory for review

Screenshot Capture by Platform:

PlatformMethodWeb (Playwright)page.screenshot({ fullPage: true })Web (Cypress)cy.screenshot()Flutterawait tester.binding.setSurfaceSize(size); await expectLater(find.byType(App), matchesGoldenFile('name.png'))Mobile (native)Platform-specific screenshot capture

Configuration:

# forge.config.yaml — Visual regression settings (optional)
visual_regression:
  enabled: true
  threshold: 0.001  # 0.1% pixel diff tolerance
  screenshot_dir: .forge/screenshots
  full_page: true

When Agentic QE is available, delegate to the visual-tester agent for parallel viewport comparison across multiple screen sizes.

### INVOCATION MODES

# Full autonomous run — all contexts, all gates
/forge --autonomous --all

# Single context autonomous
/forge --autonomous --context [context-name]

# Behavioral verification only (no fixes)
/forge --verify-only
/forge --verify-only --context [context-name]

# Fix-only mode (fix failures, don't generate new tests)
/forge --fix-only --context [context-name]

# Learn mode (analyze patterns, update confidence tiers)
/forge --learn

# Add coverage for new screens/pages/components
/forge --add-coverage --screens [name1],[name2]

# Generate Gherkin specs for a context
/forge --spec-gen --context [context-name]
/forge --spec-gen --all

# Run quality gates without test execution
/forge --gates-only
/forge --gates-only --context [context-name]

# Defect prediction only
/forge --predict
/forge --predict --context [context-name]

# Chaos/resilience testing for a context
/forge --chaos --context [context-name]
/forge --chaos --all

### MEMORY NAMESPACES

NamespacePurposeKey Patternforge-patternsFix patterns with confidence tiersfix-[error-type]-[hash]forge-resultsTest run resultstest-run-[timestamp]forge-stateCoverage + gate statusforge-coverage-status, gates-[context]-[ts], last-green-commitforge-commitsCommit historycommit-[hash]forge-screensImplemented screens/pagesscreen-[name]forge-specsGherkin specificationsspecs-[context]-[timestamp]forge-contractsAPI contract snapshotscontract-snapshot-[timestamp]forge-predictionsDefect prediction historyprediction-[date]

### OPTIONAL: AGENTIC QE INTEGRATION

Forge can optionally integrate with the Agentic QE framework via MCP for enhanced capabilities. All AQE features are additive — Forge works identically without AQE.

### Detection

On startup, Forge checks for AQE availability:

# Check if agentic-qe MCP server is registered
claude mcp list | grep -q "aqe" && echo "AQE available" || echo "AQE not available — using defaults"

### Enhanced Capabilities When AQE Is Available

Forge ComponentWithout AQE (Default)With AQEPattern Storageclaude-flow memory (forge-patterns namespace)ReasoningBank — HNSW vector-indexed, 150x faster pattern search, experience replayDefect PredictionHistorical failure rates + file changesdefect-intelligence domain — root-cause-analyzer + defect-predictor agentsSecurity ScanningGate 4 static checks (secrets, injection vectors)security-compliance domain — full SAST/DAST via security-scanner agentAccessibility AuditForge Accessibility Auditor agentvisual-accessibility domain — visual-tester + accessibility-auditor agentsContract TestingGate 7 schema validationcontract-testing domain — contract-validator + graphql-tester agentsProgress Reporting.forge/progress.jsonl fileAG-UI streaming protocol for real-time UI updates

### Fallback Behavior

When AQE is NOT available, Forge falls back to its built-in behavior for every capability. No configuration is required — the skill auto-detects and adapts.

### Configuration

# forge.config.yaml — AQE integration settings (optional)
integrations:
  agentic-qe:
    enabled: true  # auto-detected if not specified
    domains:
      - defect-intelligence
      - security-compliance
      - visual-accessibility
      - contract-testing
    reasoning_bank:
      enabled: true  # replaces claude-flow memory for forge-patterns namespace
    ag_ui:
      enabled: true  # stream progress events to AG-UI protocol

### AQE Agent Delegation Map

When AQE is enabled, Forge delegates specific subtasks to specialized AQE agents:

Forge AgentAQE DomainAQE Agents UsedSpecification Verifierrequirements-validationbdd-generator, requirements-validatorFailure Analyzerdefect-intelligenceroot-cause-analyzer, defect-predictorQuality Gate Enforcer (Gate 4)security-compliancesecurity-scanner, security-auditorAccessibility Auditorvisual-accessibilityvisual-tester, accessibility-auditorQuality Gate Enforcer (Gate 7)contract-testingcontract-validator, graphql-testerLearning Optimizerlearning-optimizationlearning-coordinator, pattern-learner

Forge agents that have no AQE equivalent (Test Runner, Bug Fixer, Auto-Committer) continue to run as built-in agents regardless of AQE availability.

### DEFENSIVE TEST PATTERNS

The Bug Fixer agent uses defensive patterns appropriate to the project's test framework. Examples:

### Flutter: Safe Tap

Future<bool> safeTap(WidgetTester tester, Finder finder) async {
  await tester.pumpAndSettle();
  final elements = finder.evaluate();
  if (elements.isNotEmpty) {
    await tester.tap(finder.first, warnIfMissed: false);
    await tester.pumpAndSettle();
    return true;
  }
  debugPrint('Widget not found: ${finder.description}');
  return false;
}

### Flutter: Safe Text Entry

Future<bool> safeEnterText(WidgetTester tester, Finder finder, String text) async {
  await tester.pumpAndSettle();
  final elements = finder.evaluate();
  if (elements.isNotEmpty) {
    await tester.enterText(finder.first, text);
    await tester.pumpAndSettle();
    return true;
  }
  return false;
}

### Flutter: Visual Observation Delay

Future<void> visualDelay(WidgetTester tester, {String? label}) async {
  if (label != null) debugPrint('Observing: $label');
  await tester.pump(const Duration(milliseconds: 2500));
}

### Flutter: Scroll Until Visible

Future<bool> scrollUntilVisible(
  WidgetTester tester,
  Finder finder,
  Finder scrollable,
) async {
  for (int i = 0; i < 10; i++) {
    await tester.pumpAndSettle();
    if (finder.evaluate().isNotEmpty) return true;
    await tester.drag(scrollable, const Offset(0, -300));
    await tester.pumpAndSettle();
  }
  return false;
}

### Flutter: Wait For API Response

Future<void> waitForApiResponse(WidgetTester tester, {int maxWaitMs = 5000}) async {
  final startTime = DateTime.now();
  while (DateTime.now().difference(startTime).inMilliseconds < maxWaitMs) {
    await tester.pump(const Duration(milliseconds: 100));
    if (find.byType(CircularProgressIndicator).evaluate().isEmpty) break;
  }
  await tester.pumpAndSettle();
}

### Cypress / Playwright: Safe Click

async function safeClick(selector, options = { timeout: 5000 }) {
  try {
    await page.waitForSelector(selector, { state: 'visible', timeout: options.timeout });
    await page.click(selector);
    return true;
  } catch (e) {
    console.warn(\`Element not found: ${selector}\`);
    return false;
  }
}

### Cypress / Playwright: Wait For API

async function waitForApi(urlPattern, options = { timeout: 10000 }) {
  return page.waitForResponse(
    response => response.url().includes(urlPattern) && response.status() === 200,
    { timeout: options.timeout }
  );
}

### Pattern: Element Not Found

{
  "error": "Element not found / No element / Bad state: No element",
  "cause": "Element not rendered, wrong selector, or not in viewport",
  "tier": "platinum",
  "confidence": 0.97,
  "fixes": [
    "Wait for element to be rendered before interaction",
    "Use safe interaction helpers instead of direct calls",
    "Verify selector matches actual element",
    "Scroll element into view before interaction"
  ]
}

### Pattern: Timeout

{
  "error": "Timeout / pumpAndSettle timed out / waiting for selector",
  "cause": "Infinite animation, continuous rebuild, or slow API",
  "tier": "gold",
  "confidence": 0.89,
  "fixes": [
    "Use fixed-duration wait instead of settle/idle wait",
    "Dispose animation controllers in tearDown",
    "Check for infinite re-render loops",
    "Increase timeout for slow API calls"
  ]
}

### Pattern: Assertion Failed

{
  "error": "Expected: X, Actual: Y / AssertionError",
  "cause": "State not updated or wrong expectation",
  "tier": "silver",
  "confidence": 0.78,
  "fixes": [
    "Add delay before assertion for async state updates",
    "Verify test data seeding completed",
    "Check async operation completion before asserting"
  ]
}

### Pattern: API Response Mismatch

{
  "error": "Type error / null value / schema mismatch",
  "cause": "Backend response format changed",
  "tier": "gold",
  "confidence": 0.86,
  "fixes": [
    "Update model/DTO to match current API response",
    "Add null safety handling",
    "Check API version compatibility"
  ]
}

### COVERAGE TRACKING

The Learning Optimizer maintains coverage status per context:

{
  "lastRun": "2026-02-07T11:00:00Z",
  "backendStatus": {
    "healthy": true,
    "port": 8080
  },
  "gateStatus": {
    "functional": "PASS",
    "behavioral": "PASS",
    "coverage": "PASS",
    "security": "PASS",
    "accessibility": "WARNING",
    "resilience": "PASS",
    "contract": "PASS"
  },
  "contexts": {
    "[context-a]": { "total": 68, "passing": 68, "failing": 0, "behavioralCoverage": 100 },
    "[context-b]": { "total": 72, "passing": 70, "failing": 2, "behavioralCoverage": 97 }
  },
  "totalPaths": 0,
  "passingPaths": 0,
  "coveragePercent": 0,
  "confidenceTiers": {
    "platinum": 0,
    "gold": 0,
    "silver": 0,
    "bronze": 0,
    "expired": 0
  }
}

### AUTO-COMMIT MESSAGE FORMAT

fix(forge): Fix [TEST_ID] - [brief description]

Behavioral Spec: [Gherkin scenario name]
Root Cause: [what caused the failure]
- [specific issue 1]
- [specific issue 2]

Fix Applied:
- [change 1]
- [change 2]

Quality Gates:
- Functional: PASS
- Behavioral: PASS
- Coverage: [X]%
- Security: PASS
- Accessibility: PASS/WARNING
- Resilience: PASS
- Contract: PASS

Test Verification:
- Test now passes after fix
- No regression in related tests
- Dependent contexts re-tested: [list]

Confidence Tier: [platinum|gold|silver|bronze]
Pattern Stored: fix-[error-type]-[hash]

### Rollback Capability

If a fix introduces regressions:

# Retrieve last known good commit
npx @claude-flow/cli@latest memory retrieve --key "last-green-commit" --namespace forge-state

# Rollback to that commit
git revert [bad-commit-hash]

# Store rollback event for learning (prevents pattern from being re-applied)
npx @claude-flow/cli@latest memory store \\
  --key "rollback-[timestamp]" \\
  --value '{"commit":"[hash]","reason":"[reason]","pattern":"[pattern-key]"}' \\
  --namespace forge-patterns

# Demote the fix pattern confidence (-0.10)
# Learning Optimizer will handle this automatically

### Fix Conflict Protocol

When Bug Fixer's fix causes a cascade regression (tests in dependent contexts fail):

Halt — Stop the fix loop for the affected context
Re-analyze — Failure Analyzer examines both the original failure AND the cascade failure
Categorize — Compare root cause categories:

Different root cause → The fix is kept; the cascade failure is treated as a new, independent failure in the next loop iteration
Same root cause → The fix is reverted and the pattern is demoted (-0.10 confidence)


Revert limit — Maximum 2 revert cycles per test before escalating to user review
Escalation — If 2 reverts occur for the same test, Forge pauses and reports:
ESCALATION: Test [testId] has regressed 2x after fix attempts.
Original failure: [description]
Cascade failure: [description]
Attempted fixes: [list]
Recommendation: Manual review required.

### Agent Disagreement Resolution

When two agents disagree (e.g., Bug Fixer wants to change a file that Spec Verifier says shouldn't change):

Quality Gate Enforcer acts as arbiter — It evaluates both proposed states
The change that results in more gates passing wins
Tie-breaking order:

Fewer files changed (prefer minimal diff)
Higher confidence tier (prefer proven patterns)
Bug Fixer defers to Spec Verifier (specs are source of truth)

### POST-EXECUTION LEARNING

After each autonomous run, the skill triggers comprehensive learning:

# Train on successful patterns
npx @claude-flow/cli@latest hooks post-task --task-id "forge-run" --success true --store-results true

# Update neural patterns
npx @claude-flow/cli@latest neural train --pattern-type forge-fixes --epochs 5

# Update defect predictions
npx @claude-flow/cli@latest memory store \\
  --key "prediction-$(date +%Y-%m-%d)" \\
  --value "[prediction JSON from Learning Optimizer]" \\
  --namespace forge-predictions

# Export metrics
npx @claude-flow/cli@latest hooks metrics --format json

### PROJECT-SPECIFIC EXTENSIONS

Forge can be extended per-project by creating a forge.contexts.yaml file alongside the skill:

# forge.contexts.yaml — Project-specific bounded contexts and screens
contexts:
  - name: identity
    testFile: click_through_identity_full_test.dart
    specFile: identity.feature
    paths: 68
    subdomains: [Auth, Profiles, Verification]
    screens:
      - name: Identity Verification
        file: lib/screens/compliance/identity_verification_screen.dart
        route: /verification
        cyclomaticPaths:
          - All verifications incomplete -> show progress 0%
          - Email only verified -> show 25%
          - All verified -> show 100% + celebration state

  - name: payments
    testFile: click_through_payments_test.dart
    specFile: payments.feature
    paths: 89
    subdomains: [Wallet, Cards, Transactions]

dependencies:
  identity:
    blocks: [rides, payments, driver]
  payments:
    depends_on: [identity]
    blocks: [rides, subscriptions]

This separates the generic Forge engine from project-specific configuration, making Forge reusable across any codebase.

### QUICK REFERENCE CHECKLIST

Before running Forge:

Backend built and running
 Health check passes
 Test data seeded via real API calls
 No mocking or stubbing in test code
 Gherkin specs exist for target context (or will be generated)
 All new screens/pages have test coverage
 Edge cases documented and tested

After Forge completes:

Gate 1 (Functional): All tests pass
 Gate 2 (Behavioral): All targeted Gherkin scenarios satisfied
 Gate 3 (Coverage): >=85% overall, >=95% critical paths
 Gate 4 (Security): No hardcoded secrets, no injection vectors, no critical CVEs
 Gate 5 (Accessibility): WCAG AA compliance checked
 Gate 6 (Resilience): Offline/timeout/error states tested
 Gate 7 (Contract): API responses match expected schemas
 Confidence tiers updated for all applied fix patterns
 Defect predictions updated for next run
 All fixes committed with detailed messages
## Trust
- Source: tencent
- Verification: Indexed source record
- Publisher: ikennaokpala
- Version: 1.0.0
## Source health
- Status: healthy
- Item download looks usable.
- Yavira can redirect you to the upstream package for this item.
- Health scope: item
- Reason: direct_download_ok
- Checked at: 2026-05-03T10:30:58.010Z
- Expires at: 2026-05-10T10:30:58.010Z
- Recommended action: Download for OpenClaw
## Links
- [Detail page](https://openagent3.xyz/skills/forge)
- [Send to Agent page](https://openagent3.xyz/skills/forge/agent)
- [JSON manifest](https://openagent3.xyz/skills/forge/agent.json)
- [Markdown brief](https://openagent3.xyz/skills/forge/agent.md)
- [Download page](https://openagent3.xyz/downloads/forge)