# tower

> tower — yonatangross-tower. Use this tool when you need to track and monitor AI coding account usage, particularly for Git-based projects, to optimize resource allocation and identify potential issues. It solves problems related to account management, usage monitoring, and resource optimization. The tool takes in Git project data as input and outputs usage metrics and insights.

Canonical page: https://skillsregistry.net/skills/yonatangross-tower  
JSON: https://api.skillsregistry.net/v1/skills/yonatangross-tower

## Description

Tower: AI coding account usage tracker

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-11-05

## Source

- **Source listing:** [GitHub](https://github.com/yonatangross/tower)

## 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": "yonatangross-tower"
    }
  }
}
```

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