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agent-protocol

Inter-agent communication protocol for C-suite agent teams. Defines invocation syntax, loop prevention, isolation rules, and response formats. Use when C-suite agents need to query each other, coordinate cross-functional analysis, or run board meetings with multiple agent roles.

skill-install — Terminal

Install via CLI (Recommended)

clawhub install openclaw/skills/skills/alirezarezvani/cs-agent-protocol
Or

What This Skill Does

The agent-protocol skill provides a structured framework for inter-agent communication, specifically tailored for C-suite agent teams. It acts as the backbone for multi-agent orchestration, preventing common pitfalls such as circular reasoning, infinite feedback loops, and groupthink. By enforcing strict invocation syntax, response structures, and depth limitations, this skill ensures that complex organizational queries—such as balancing a budget against hiring needs or evaluating technical feasibility—are handled with professional rigor and accountability. It provides a standardized method for agents to ask, answer, and justify their contributions within a hierarchical decision-making simulation.

Installation

To integrate this protocol into your OpenClaw environment, use the following install command:

clawhub install openclaw/skills/skills/alirezarezvani/cs-agent-protocol

Ensure your agent environment is updated to the latest version of the OpenClaw framework to support chain tracking capabilities.

Use Cases

This skill is designed for scenarios requiring multi-functional expertise:

  • Strategic Planning: Coordinating between the CFO and CPO to analyze the financial viability of product roadmaps.
  • Cross-Functional Risk Assessment: Allowing the CISO to query the CTO and CRO regarding the potential security impacts of a new sales pipeline integration.
  • Executive Board Simulations: Running end-to-end organizational reviews where multiple roles contribute data points independently to prevent bias.
  • Troubleshooting: Identifying the root cause of project delays by querying relevant stakeholders in sequence.

Example Prompts

  1. "Invoke the CFO and ask them for an updated burn rate projection based on our new Q3 hiring plan, then take that data to the CRO to see if our revenue targets still hold."
  2. "Execute a board meeting simulation: CPO presents the feature launch plan, then prompt the CTO for a technical feasibility audit and the CMO for a go-to-market readiness assessment."
  3. "Check if our current security protocols can handle the new cloud infrastructure; invoke the CISO and ensure they provide their finding with supporting data points."

Tips & Limitations

  • Respect the Chain: Always monitor the [CHAIN: ...] meta-data. If your chain exceeds 2 hops, you must conclude the analysis or state an explicit assumption.
  • Avoid Loopback: The protocol automatically blocks circular calls. If you find yourself hitting the [BLOCKED] message frequently, decompose your complex query into smaller, asynchronous tasks.
  • Mind the Phase 2 Isolation: During independent analysis, do not invoke other agents. Rely on the [ASSUMPTION: ...] flag instead. This is critical for preventing groupthink and ensuring high-quality, independent insights.

Metadata

Stars4473
Views1
Updated2026-05-01
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Add to Configuration

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

{
  "plugins": {
    "official-alirezarezvani-cs-agent-protocol": {
      "enabled": true,
      "auto_update": true
    }
  }
}

Tags(AI)

#communication#multi-agent#coordination#protocol#c-suite
Safety Score: 5/5

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