# pai

> pai — connortessaro-pai. Use this tool when you need to manage AI agent resources, such as keys, budgets, and subagents, to streamline tasks and optimize performance. It solves problems related to agent wallet management, model routing, and receipt tracking, providing a comprehensive interface for CLI, MCP, and skill integration. With pai, you can input child keys, budgets, and plans, and output signed receipts, making it ideal for use cases involving multiple AI agents and complex resource allocation.

Canonical page: https://skillsregistry.net/skills/connortessaro-pai  
JSON: https://api.skillsregistry.net/v1/skills/connortessaro-pai

## Description

Command-line tool and MCP server for Phantom AI. Agents make child keys with spending caps and pay from a Solana wallet.

## Trust

- **Trust score (0–1):** 0.94
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/connortessaro/pai)

## 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": "connortessaro-pai"
    }
  }
}
```

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

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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