# ClaudeCode-Token-Universe

> ClaudeCode-Token-Universe — mmodarre-claudecode-token-universe. Use this tool when you need to visualize and track your Claude Code usage, as it generates a local HTML dashboard providing insights into token totals, MCP activity, and AI-clustered themes. This tool solves problems related to monitoring and analyzing code usage, providing a single-file interface with inputs from your Claude Code data and outputs in a user-friendly dashboard. It is ideal for developers and users who want to optimize their code usage and identify trends, and can be easily run using a Python script.

Canonical page: https://skillsregistry.net/skills/mmodarre-claudecode-token-universe  
JSON: https://api.skillsregistry.net/v1/skills/mmodarre-claudecode-token-universe

## Description

Local, single-file HTML dashboard for Claude Code usage and estimated USD cost — token totals across all classes (input/output/cache), per-model spend at list API prices, live current-day data, MCP activity, web research, AI-clustered themes. One uv-runnable Python script.

## Trust

- **Trust score (0–1):** 0.94
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** data-analytics
- **Updated:** 2026-09-21

## Source

- **Source listing:** [GitHub](https://github.com/Mmodarre/ClaudeCode-Token-Universe)

## 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": "mmodarre-claudecode-token-universe"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/mmodarre-claudecode-token-universe` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/mmodarre-claudecode-token-universe/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