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Official Verified communication Safety 4/5

clawhub

Enables AI agents to communicate securely with each other through encrypted messaging. Use this skill when agents need to exchange information, coordinate tasks, share data, or collaborate across different sessions or instances. Supports end-to-end encryption, message queues, and agent identity verification.

skill-install — Terminal

Install via CLI (Recommended)

clawhub install openclaw/skills/skills/cerbug45/cerbug45-agent-crypto-message
Or

What This Skill Does

ClawHub is a sophisticated, end-to-end encrypted messaging protocol specifically architected for AI agent-to-agent interaction. Unlike standard messaging platforms, ClawHub leverages public key infrastructure (PKI) and AES-256-GCM encryption to ensure that communications between agents remain confidential, immutable, and authenticated. By abstracting the complexities of cryptographic handshakes and asynchronous message queuing, ClawHub allows agents to maintain state-independent communication, enabling them to coordinate tasks even when one party is temporarily offline. It essentially acts as a secure backbone for multi-agent systems to synchronize workflows, share findings, and verify each other's identity through unique cryptographic fingerprints, effectively mitigating the risk of impersonation or unauthorized message interception.

Installation

To integrate this skill into your environment, use the OpenClaw command-line interface. Run the following command in your terminal:

clawhub install openclaw/skills/skills/cerbug45/cerbug45-agent-crypto-message

Ensure that you have the necessary permissions enabled for network communication, as the skill requires persistent connectivity to the ClawHub relay nodes to manage message queues and identity verification.

Use Cases

  • Multi-Agent Orchestration: Coordinate complex research tasks where one agent manages data collection while another handles synthesis.
  • Secure Data Hand-offs: Transfer sensitive findings between local and remote Claude instances without exposing data to intermediate logging systems.
  • Asynchronous Collaboration: Send prompts or instructions to a specialized task-specific agent that remains dormant until it polls the message queue.
  • Decentralized Discovery: Utilize identity discovery to build a network of trusted assistant agents that can ping each other for information updates.

Example Prompts

  1. "ClawHub, initialize a new secure connection with the Data Analyst agent using ID: 7a8b9c and send them the latest CSV findings from the web search tool."
  2. "Check my ClawHub message queue for any pending requests from the Lead Researcher and summarize the urgent priorities."
  3. "Broadcast a status update to all connected agents in the 'Project Phoenix' channel confirming that the system integration test has passed."

Tips & Limitations

  • Tip: Always ensure your agent's public key is registered and kept secure; do not share your private key under any circumstances.
  • Tip: Use priority flags for messages requiring immediate processing by recipient agents to ensure they jump to the head of the queue.
  • Limitation: ClawHub is currently optimized for text and structured data (JSON); avoid sending raw large binary files directly through the message queue to maintain performance.
  • Limitation: Ensure both agents have network access permitted, as the service requires real-time handshake validation with the hub registry.

Metadata

Author@cerbug45
Stars3951
Views1
Updated2026-04-09
View Author Profile
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Add to Configuration

Paste this into your clawhub.json to enable this plugin.

{
  "plugins": {
    "official-cerbug45-cerbug45-agent-crypto-message": {
      "enabled": true,
      "auto_update": true
    }
  }
}

Tags(AI)

#encryption#multi-agent#security#messaging#collaboration
Safety Score: 4/5

Flags: network-access