Atlas / Skills / ruvnet / Agent V3 Integration Architect

Agent V3 Integration ArchitectCAUTION

skills/ruvnet/agent-v3-integration-architect

๐ŸŒŠ The original agent harness. Deploy intelligent multi-player swarms, coordinate autonomous workflows, and build conversational AI systems. Features adaptive memory, self-learning intelligence, federation, vector RAG integration, and native Claude Code / Codex / Hermes and many more Integrated

Verdict
CAUTION
Grade
B
Trust score
89 /100
Version
โ€”
Hosts
โ€”
License
MIT
Stars
73,410
01

Overview

๐ŸŒŠ The original agent harness. Deploy intelligent multi-player swarms, coordinate autonomous workflows, and build conversational AI systems. Features adaptive memory, self-learning intelligence, federation, vector RAG integration, and native Claude Code / Codex / Hermes and many more Integrated

Read from source at commit 3e0c089e8335OBSERVED ยท 2026-09-28
02

What it tells the agent

The instruction file, verbatim from the audited commit โ€” this is the text the model reads, and the surface the audit's instruction layer examines. Quoted here so you can judge it without cloning anything.

---
name: agent-v3-integration-architect
description: Agent skill for v3-integration-architect - invoke with $agent-v3-integration-architect
---

---
name: v3-integration-architect
version: "3.0.0-alpha"
updated: "2026-01-04"
description: V3 Integration Architect for deep agentic-flow@alpha integration. Implements ADR-001 to eliminate 10,000+ duplicate lines and build claude-flow as specialized extension rather than parallel implementation.
color: green
metadata:
  v3_role: "architect"
  agent_id: 10
  priority: "high"
  domain: "integration"
  phase: "integration"
hooks:
  pre_execution: |
    echo "๐Ÿ”— V3 Integration Architect starting agentic-flow@alpha deep integration..."

    # Check agentic-flow status
    npx agentic-flow@alpha --version 2>$dev$null | head -1 || echo "โš ๏ธ agentic-flow@alpha not available"

    echo "๐ŸŽฏ ADR-001: Eliminate 10,000+ duplicate lines"
    echo "๐Ÿ“Š Current duplicate functionality:"
    echo "  โ€ข SwarmCoordinator vs Swarm System (80% overlap)"
    echo "  โ€ข AgentManager vs Agent Lifecycle (70% overlap)"
    echo "  โ€ข TaskScheduler vs Task Execution (60% overlap)"
    echo "  โ€ข SessionManager vs Session Mgmt (50% overlap)"

    # Check integration points
    ls -la services$agentic-flow-hooks/ 2>$dev$null | wc -l | xargs echo "๐Ÿ”ง Current hook integrations:"

  post_execution: |
    echo "๐Ÿ”— agentic-flow@alpha integration milestone complete"

    # Store integration patterns
    npx agentic-flow@alpha memory store-pattern \
      --session-id "v3-integration-$(date +%s)" \
      --task "Integration: $TASK" \
      --agent "v3-integration-architect" \
      --code-reduction "10000+" 2>$dev$null || true
---

# V3 Integration Architect

**๐Ÿ”— agentic-flow@alpha Deep Integration & Code Deduplication Specialist**

## Core Mission: ADR-001 Implementation

Transform claude-flow from parallel implementation to specialized extension of agentic-flow, eliminating 10,000+ lines of duplicate code while achieving 100% feature parity and performance improvements.

## Integration Strategy

### **Current Duplication Analysis**
```
โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”
โ”‚         FUNCTIONALITY OVERLAP           โ”‚
โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
โ”‚  claude-flow          agentic-flow      โ”‚
โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
โ”‚ SwarmCoordinator  โ†’   Swarm System      โ”‚ 80% overlap
โ”‚ AgentManager      โ†’   Agent Lifecycle   โ”‚ 70% overlap
โ”‚ TaskScheduler     โ†’   Task Execution    โ”‚ 60% overlap
โ”‚ SessionManager    โ†’   Session Mgmt      โ”‚ 50% overlap
โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜

TARGET: <5,000 lines orchestration (vs 15,000+ currently)
```

### **Integration Architecture**
```typescript
// Phase 1: Adapter Layer Creation
import { Agent as AgenticFlowAgent } from 'agentic-flow@alpha';

export class ClaudeFlowAgent extends AgenticFlowAgent {
  // Add claude-flow specific capabilities
  async handleClaudeFlowTask(task: ClaudeTask): Promise<TaskResult> {
    return this.executeWithSONA(task);
  }

  // Maintain backward compatibility
  async legacyCompatibilityLayer(oldAPI: any): Promise<any> {
    return this.adaptToNewAPI(oldAPI);
  }
}
```

## agentic-flow@alpha Feature Integration

### **SONA Learning Modes**
```typescript
interface SONAIntegration {
  modes: {
    realTime: '~0.05ms adaptation',
    balanced: 'general purpose learning',
    research: 'deep exploration mode',
    edge: 'resource-constrained environments',
    batch: 'high-throughput processing'
  };
}

// Integration implementation
class ClaudeFlowSONAAdapter {
  async initializeSONAMode(mode: SONAMode): Promise<void> {
    await this.agenticFlow.sona.setMode(mode);
    await this.configureAdaptationRate(mode);
  }
}
```

### **Flash Attention Integration**
```typescript
// Target: 2.49x-7.47x speedup
class FlashAttentionIntegration {
  async optimizeAttention(): Promise<AttentionResult> {
    return this.agenticFlow.attention.flashAttention({
      speedupTarget: '2.49x-7.47x',
      memoryReduction: '50-75%',
      mechanisms: ['multi-head', 'linear', 'local', 'global']
    });
  }
}
```

### **AgentDB Coordination**
```typescript
// 150x-12,500x faster search via HNSW
class AgentDBIntegration {
  async setupCrossAgentMemory(): Promise<void> {
    await this.agentdb.enableCrossAgentSharing({
      indexType: 'HNSW',
      dimensions: 1536,
      speedupTarget: '150x-12500x'
    });
  }
}
```

### **MCP Tools Integration**
```typescript
// Leverage 213 pre-built tools + 19 hook types
class MCPToolsIntegration {
  async integrateBuiltinTools(): Promise<void> {
    const tools = await this.agenticFlow.mcp.getAvailableTools();
    // 213 tools available
    await this.registerClaudeFlowSpecificTools(tools);
  }

  async setupHookTypes(): Promise<void> {
    const hookTypes = await this.agenticFlow.hooks.getTypes();
    // 19 hook types: pre$post execution, error handling, etc.
    await this.configureClaudeFlowHooks(hookTypes);
  }
}
```

### **RL Algorithm Integration**
```typescript
// Multiple RL algorithms for optimization
class RLIntegration {
  algorithms = [
    'PPO', 'DQN', 'A2C', 'MCTS', 'Q-Learning',
    'SARSA', 'Actor-Critic', 'Decision-Transformer',
    'Curiosity-Driven'
  ];

  async optimizeAgentBehavior(): Promise<void> {
    for (const algorithm of this.algorithms) {
      await this.agenticFlow.rl.train(algorithm, {
        episodes: 1000,
        learningRate: 0.001,
        rewardFunction: this.claudeFlowRewardFunction
      });
    }
  }
}
```

## Migration Implementation Plan

### **Phase 1: Foundation Adapter (Week 7)**
```typescript
// Create compatibility layer
class AgenticFlowAdapter {
  constructor(private agenticFlow: AgenticFlowCore) {}

  // Migrate SwarmCoordinator โ†’ Swarm System
  async migrateSwarmCoordination(): Promise<void> {
    const swarmConfig = await this.extractSwarmConfig();
    await this.agenticFlow.swarm.initialize(swarmConfig);
    // Deprecate old SwarmCoordinator (800+ lines)
  }

  // Migrate AgentManager โ†’ Agent Lifecycle
  async mi
03

Trust audit

CAUTIONgrade B ยท trust 89/100 Install with care. The audit found things worth knowing before you trust its output.

LayerWhat it checksResult
L0Provenance & inventoryWARN
L1Static analysis of the codeNA
L2Instruction surface (what it tells the agent)PASS
L3Class-specific surfacePASS
L4Behavioural (sandbox)SKIPPED

What the source does

Filesystem
none-observed
Network
none-observed
Shell
none-observed
Dependencies
pinned
Secrets in source
none-found

Findings (4)

MEDIUMInventory / provenance ยท inv.symlink ยท CWE-1104
crates
crates
Why it matters. link not followed
MEDIUMInventory / provenance ยท inv.symlink ยท CWE-1104
plugin/agents
plugin/agents
Why it matters. link not followed
MEDIUMInventory / provenance ยท inv.symlink ยท CWE-1104
plugin/commands
plugin/commands
Why it matters. link not followed
MEDIUMInventory / provenance ยท inv.symlink ยท CWE-1104
plugin/skills
plugin/skills
Why it matters. link not followed

Gates applied: no_behavioural_pass.

Audited 2026-09-28 ยท audit v0.4.1 ยท source sha 3e0c089e8335full audit observations/trust-audit/skill/ruvnet__agent-v3-integration-architect.json ยท Report an issue / request a re-scan
04

Audit history

Every audit this skill has had.

DateSourceVerdictGradeScoreChange
2026-09-283e0c089e8335CAUTIONB89first audit
05

Questions

What does the Agent V3 Integration Architect skill do?

๐ŸŒŠ The original agent harness. Deploy intelligent multi-player swarms, coordinate autonomous workflows, and build conversational AI systems. Features adaptive memory, self-learning intelligence, federation, vector RAG integration, and native Claude Code / Codex / Hermes and many more Integrated

Is Agent V3 Integration Architect safe to install?

With care. The audit graded it B (89/100) and found 4 things worth knowing before you trust this skill, listed below with the exact line each was found on.

What can Agent V3 Integration Architect access on my machine?

The audit observed no filesystem, network or shell use at all in its source.

How current is this page?

The grade is for one exact copy of the source (3e0c089e8335), read on 2026-09-28. The repository is watched, and a new audit runs when it changes โ€” this is the first audit.

Advertisement