xiufengsun/TokenTracker: README-based editorial guide

xiufengsun/TokenTracker describes itself in the README as "Local-first AI token usage & cost tracker for 28 coding tools incl. Claude Code, Codex, Cursor, Gemini & Qoder,with native apps. Never reads prompts.". This article keeps to facts that can be checked in the repository. Stars, forks, and promotional badges are signals of attention, not proof of quality. Under "Track every AI token , then bring your usage to life", the README says: An accurate, local-first token usage and cost dashboard for 29 AI coding tools , plus a desktop pet, 4 native widgets, and 15 achievement tracks. No cloud account, no API keys, no setup.. That establishes the project's stated boundary, not a production test.

The README's "⚡ Quick Start" section gives a useful starting point for deciding whether the project fits: 🔌 Auto-detected hooks for every supported AI tool you have installed. If that problem is not yours, popularity is a poor reason to adopt it. Project names, commands, and component names are kept as written so a reader can return to the primary source without guessing at terminology. Another checkable README item is: 📊 A local dashboard at localhost:7680 with usage trends, model breakdown, cost analysis. It can shape a first test, but it does not replace testing in the intended environment.

The operating model is spread across sections such as "⚡ Quick Start". The source evidence includes: > Requirements: Node.js 20+ (CLI runs on macOS / Linux / Windows; native desktop app ships for both macOS (menu bar) and Windows (system tray).. This article does not turn missing architecture, performance, or security details into claims. A real deployment still needs a look at the repository layout, configuration files, and release history.

Start installation from the README's documented entry point. A command that can be checked in the source is: npm i -g tokentracker-cli tokentracker # Open the dashboard tokentracker sync # Manual sync tokentracker status # Check hook status tokentracker status --json # Machine-readable summary (pipe to jq, ingest from AI agents) tokentracker status --light # Plain ASCII table (CI / SSH, no spinner) tokentracker doctor # Health check When the README contains no runnable command, this article does not invent one. Open its "Track every AI token , then bring your usage to life" section and confirm system dependencies, default ports, and first-run initialization before using a public server.