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●GPT-6.1 SOL — Added to Rork's model menu (09-29) with Low, Medium and High effort; included on Pro and Max●SONNET 5.5 — Claude Sonnet 5.5 is selectable: strong at UI design and faster than Sonnet 5 (09-28)●SDK 58 — Beta since 09/15 with no stable date yet; running projects in Expo Go has required login since 09/03●WIDGET — A write-up traces an iOS widget that renders black only in production builds●OBSERVE — EAS Observe now records native crashes too (SDK 57.0.21 or later, 10/07)●NEW — My App Open Ad Only Showed When the App…●GPT-6.1 SOL — Added to Rork's model menu (09-29) with Low, Medium and High effort; included on Pro and Max●SONNET 5.5 — Claude Sonnet 5.5 is selectable: strong at UI design and faster than Sonnet 5 (09-28)●SDK 58 — Beta since 09/15 with no stable date yet; running projects in Expo Go has required login since 09/03●WIDGET — A write-up traces an iOS widget that renders black only in production builds●OBSERVE — EAS Observe now records native crashes too (SDK 57.0.21 or later, 10/07)●NEW — My App Open Ad Only Showed When the App…
Articles/AI Models
◉ AI Models/2026-03-22Advanced

NemoClaw × Rork Advanced — Securing Mobile AI Agents with OpenShell Policies

Advanced guide to implementing secure AI agents in mobile apps using NemoClaw and Rork with OpenShell policy controls

NemoClaw3Rork585AI SecurityOpenShellMobile Development4Agents

Setup and context

AI agent security has become critical for production mobile applications. Combining NemoClaw with Rork enables developers to build powerful AI-driven features while maintaining strict security boundaries.

This guide provides implementation-level details for advanced security configurations using OpenShell policies. It assumes you have experience building with Rork and foundational knowledge of AI security principles.

Understanding NemoClaw and OpenShell Policies

NemoClaw is a security framework that enforces strict behavioral constraints on AI agents. OpenShell policies deliver:

  • API access whitelisting and blacklisting
  • User input sanitization
  • Role-based database access control
  • Automatic audit logging and traceability

Integrating NemoClaw into Rork-built mobile apps provides defense-in-depth security across client and server layers.

OpenShell Policy Configuration

OpenShell policies use JSON-based definitions. When integrating with Rork's Cloudflare Workers backend, the core structure looks like this:

const nemoclawPolicy = {
  version: "1.0",
  agent: {
    id: "app-agent-prod-001",
    maxTokensPerRequest: 2048,
    allowedModels: ["gemini-2.0-pro", "claude-3-5-sonnet"],
    enforceContextWindow: true
  },
  permissions: {
    database: {
      allowed: ["users", "transactions"],
      deniedTables: ["admin_logs", "api_keys"],
      maxRowsPerQuery: 1000
    },
    externalAPIs: {
      whitelist: ["https://api.stripe.com/v1", "https://api.sendgrid.com/v3"],
      requireHTTPS: true,
      timeout: 30000
    }
  }
};

Implementing Agents in Rork Apps

Using Rork's Vibe Coding approach, implement agents with this pattern:

export default function AiAgentScreen() {
  const [userInput, setUserInput] = useState("");
  const [response, setResponse] = useState("");
 
  const invokeAgent = async (prompt) => {
    const requestPayload = {
      agentId: "app-agent-prod-001",
      policy: "openshell-v1",
      userMessage: prompt,
      timestamp: new Date().toISOString(),
      userId: await getUserId()
    };
 
    try {
      const response = await fetch("https://api.rorklab.net/v1/agent/invoke", {
        method: "POST",
        headers: {
          "Content-Type": "application/json",
          "Authorization": `Bearer ${RORK_API_TOKEN}`
        },
        body: JSON.stringify(requestPayload)
      });
 
      const result = await response.json();
      if (result.success) {
        setResponse(result.agentResponse);
      }
    } catch (error) {
      console.error("Agent invocation failed:", error);
    }
  };
 
  return (
    <View style={{ flex: 1, padding: 16 }}>
      <TextInput placeholder="Ask the agent..." value={userInput} onChangeText={setUserInput} />
      <Button title="Send" onPress={() => invokeAgent(userInput)} />
      <Text>{response}</Text>
    </View>
  );
}

Security Best Practices

1. Token Management

Work with Rork's environment variables to manage NemoClaw tokens securely:

  • Store API tokens in .env.local (never commit to version control)
  • Rotate tokens regularly (every 90 days)
  • Use Secure Enclave / Keychain instead of device local storage

2. Data Minimization Principle

Provide agents only the data they need:

  • Remove personally identifiable information (PII)
  • Hash user IDs before passing to agents
  • Automatically mask sensitive fields in all communications

3. Real-Time Monitoring

Combine Cloudflare Workers with NemoClaw for anomaly detection:

export default {
  async fetch(request) {
    const payload = await request.json();
    if (payload.tokensUsed > 4000) {
      await logViolation({
        type: "EXCESSIVE_TOKENS",
        agentId: payload.agentId,
        tokens: payload.tokensUsed
      });
      return new Response("Policy violation", { status: 403 });
    }
    return new Response("OK");
  }
};

Related Resources

Learn more about advanced AI agent development with Rork:

Summary

Combining NemoClaw with Rork creates a robust, secure foundation for production mobile AI agents. By properly configuring OpenShell policies, you protect user data while unlocking powerful capabilities.

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