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Agent Communication

ASecurity

Establish Agent-to-Agent (A2A) communication channels and topologies. Use when: setup swarm communication, implement a2a protocol, connect agents using mcp, design gossip protocol.

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  • Added November 11, 2026
ai-agentsrustgonoderailsdevopssecurity

Works with

  • cli
  • mcp

Security analysis

A100/100

Pro scans all 2 files and shows the line behind each finding

Scanned November 11, 2026

npx -y skills add andreibesleaga/GABBE --skill agent-communication --agent claude-code

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SKILL.md
---
name: agent-communication
description: "Establish Agent-to-Agent (A2A) communication channels and topologies. Use when: setup swarm communication, implement a2a protocol, connect agents using mcp, design gossip protocol."
license: CC-BY-SA-4.0
metadata:
  source: "agents/skills/ai/agent-communication.skill.md"
  tags: "ai"
  core: "false"
  context_cost: "medium"
---
# agent-communication

## Goal
Establish, negotiate, and enforce structured Agent-to-Agent communication channels using emerging standards (MCP, A2A, ACP) alongside enterprise protocols (Kafka, Gossip) to ensure interoperability and secure data exchange.

## Steps
1. **Protocol Analysis & Selection**: Select the appropriate protocol tier based on the architectural need:
   - **MCP (Model Context Protocol)**: Use Anthropic's universal standard for agents to access external data, context, and tools (Client-Server model).
   - **A2A (Agent-to-Agent Protocol)**: Implement the Linux Foundation's standard for horizontal interoperability, allowing vendor-agnostic agents to communicate, delegate workflows, and exchange "Agent Cards" capabilities.
   - **ACP (Agent Communication Protocol)**: Use for real-time, local-first collaboration (e.g., edge or IoT), ensuring minimal latency over HTTP.
   - **Distributed Gossip / Epidemic Protocols**: Implement decentralized peer-to-peer state sharing for autonomous swarms needing high fault tolerance and no central broker.
   - **Enterprise Brokers**: Connect agents via Kafka, RabbitMQ, or MQTT for high-throughput asynchronous event streaming.
2. **Handshake Definition**: Implement the `AGENT_HANDSHAKE_TEMPLATE.json` constraints between agents to negotiate capabilities before execution.
3. **Message Routing**: Setup the broker, service mesh, or P2P topology.
4. **Verification**: Execute end-to-end communication tests ensuring agents correctly serialize/deserialize standard schemas.

## Security & Guardrails

### 1. Skill Security
- **Authentication**: Enforce strict mutual authentication (mTLS) between separated agent instances crossing network boundaries.
- **Message Integrity**: Cryptographically sign all A2A payloads to prevent tampering by intermediate brokers or corrupted gossip nodes.

### 2. System Integration Security
- **Boundary Enforcement**: Agents from lower trust zones (e.g., public research agents) cannot send execution/mutative commands to higher trust zones (e.g., devops CI agents).
- **DDoS Mitigation**: Implement strict rate limiting on agent inboxes and gossip-dissemination intervals to prevent swarm feedback loops from overwhelming the network.

### 3. LLM & Agent Guardrails
- **Semantic Drift Logging**: Ensure the communication bridge logs message schemas to detect when an LLM hallucinated a completely new, unsupported protocol variant.
- **Confirmation Bias**: Prevent agent echo chambers (especially in Gossip networks) by enforcing deterministic verification of transmitted facts before an agent adopts them into its own context.

Files in this skill

  • AGENT_HANDSHAKE_TEMPLATE.json914 B
  • SKILL.md2.9 KB

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