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agent-protocol

Agent-to-agent communication protocol. Enables skills to communicate via events, build workflow chains, and orchestrate without human intervention.

Why use this skill?

Enable autonomous agent collaboration in OpenClaw. Build complex workflows, orchestrate tasks, and connect agents with the agent-protocol skill.

skill-install — Terminal

Install via CLI (Recommended)

clawhub install openclaw/skills/skills/robbyczgw-cla/agent-protocol
Or

What This Skill Does

The agent-protocol skill serves as the central nervous system for OpenClaw, providing a robust, file-based event bus that facilitates seamless interaction between disparate agents. Instead of running in silos, your agents can now broadcast events, trigger complex multi-step workflows, and pass context dynamically between tasks. By utilizing a standardized JSON-based messaging schema, it ensures that your research agents, summarization tools, and notification services can speak a common language, enabling true autonomous orchestration without human intervention.

Installation

To integrate the agent-protocol into your environment, follow these steps via your terminal:

  1. Execute the command: clawhub install openclaw/skills/skills/robbyczgw-cla/agent-protocol.
  2. Navigate to your skill directory: cd /root/clawd/skills/agent-protocol.
  3. Run the setup script: python3 scripts/setup.py.
  4. Initialize the event bus process: python3 scripts/event_bus.py start. Ensure you have configured your local event directories as specified in the configuration files to allow for proper read/write permissions for the inter-agent communication layer.

Use Cases

  • Autonomous Research Pipelines: An agent monitors technical news, publishes a finding event, and automatically triggers a summarization agent to create a digest for your team.
  • Complex Task Orchestration: Chain multiple specialized agents where the output of one serves as the mandatory input for the next, complete with error retries and conditional routing.
  • Scheduled Monitoring: Use the workflow engine integrated with cron to check for external data updates and dispatch notification events only when specific importance thresholds are met.

Example Prompts

  1. "Check for new Ethereum governance updates using the research agent and automatically pipe the summary to my Discord channel using the notification agent."
  2. "Create a workflow where any news article with an importance score above 8 is immediately processed by the summary agent and stored in the shared context memory."
  3. "Start the event bus in debug mode and list all active subscriptions currently registered in the agent registry."

Tips & Limitations

  • Persistence: All events are stored as files in ~/.clawdbot/events/. While this makes auditing easy, monitor disk space if your agents produce high-frequency data.
  • Schema Validation: Always validate your event payloads against the schema to prevent workflow failures. Malformed JSON will cause the workflow engine to skip steps or trigger error fallbacks.
  • Security: Since this skill allows for file-system-based communication, ensure that your agent directory permissions are restricted to the local user to prevent unauthorized event injection.

Metadata

Stars1171
Views0
Updated2026-02-19
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Add to Configuration

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

{
  "plugins": {
    "official-robbyczgw-cla-agent-protocol": {
      "enabled": true,
      "auto_update": true
    }
  }
}

Tags(AI)

#automation#orchestration#multi-agent#workflow#event-driven
Safety Score: 4/5

Flags: file-write, file-read