# pilot-protocol

> pilot-protocol — pilot-protocol. Use this tool when you need to establish secure and private communication between AI agents, enabling trusted data exchange and collaboration. It solves problems of data privacy and security in multi-agent systems, facilitating use cases such as secure information sharing and cooperative decision-making. The pilot-protocol takes in agent identities and message data as inputs, producing encrypted and authenticated messages as outputs.

Canonical page: https://skillsregistry.net/skills/pilot-protocol  
JSON: https://api.skillsregistry.net/v1/skills/pilot-protocol

## Description

Encrypted P2P messaging and trust handshakes between AI agents over Pilot Protocol's overlay network.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Updated:** 2026-09-13

## Source

- **Source listing:** [ClawHub](https://clawhub.ai/teoslayer/pilot-protocol)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "pilot-protocol"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/pilot-protocol` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/pilot-protocol/pull`

---
SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt