# xpr-agent-operator

> xpr-agent-operator — paulgnz-xpr-agent-operator. Use this tool when you need to deploy and manage autonomous AI agents on a decentralized network, solving problems of trust and scalability in AI operations. It provides an interface to input agent configurations and outputs operational status and performance metrics. Use it in contexts where secure, decentralized, and transparent AI agent management is required.

Canonical page: https://skillsregistry.net/skills/paulgnz-xpr-agent-operator  
JSON: https://api.skillsregistry.net/v1/skills/paulgnz-xpr-agent-operator

## Description

Operate an autonomous AI agent on XPR Network's trustless registry.

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **Last scanned:** 2026-05-22

## Facts

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

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/paulgnz-xpr-agent-operator)

## 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": "paulgnz-xpr-agent-operator"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/paulgnz-xpr-agent-operator` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/paulgnz-xpr-agent-operator/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