TokenTracker

Name: TokenTracker
Author: mm7894215

Verified

Local-first AI token usage & cost tracker for 27 coding tools — with a desktop pet, 4 widgets, achievements, native macOS/Windows apps, and a one-command CLI. Never reads prompts.

1,024stars

103forks

JavaScript

Installation

# Add to your Claude Code skills
git clone https://github.com/mm7894215/TokenTracker

Getting Started

Guides for using cli tools skills like TokenTracker.

Getting Started with AI Skills
First-time install walkthrough for Claude Code, Codex CLI, and ChatGPT.
SkillsLLM Features Guide
Voting, bookmarks, comments, comparison pages, and security scanning explained.
What is an AI Skills Marketplace?
Definitions, how marketplaces work, and how to choose between them in 2026.

Security ReportVerified

Last scanned: 5/17/2026

{
  "issues": [],
  "status": "PASSED",
  "scannedAt": "2026-05-17T06:44:53.112Z",
  "semgrepRan": false,
  "npmAuditRan": true,
  "pipAuditRan": true
}

README.md

Frequently Asked Questions

What is TokenTracker?

TokenTracker is an open-source cli tools skill for AI coding assistants such as Claude Code, Codex CLI, and ChatGPT, built by mm7894215. Local-first AI token usage & cost tracker for 27 coding tools — with a desktop pet, 4 widgets, achievements, native macOS/Windows apps, and a one-command CLI. Never reads prompts. It has 1,024 GitHub stars.

Is TokenTracker safe to use?

Yes. TokenTracker passed SkillsLLM's automated security scan — a dependency vulnerability audit plus prompt-injection heuristics — with no high-severity issues. You can read the full report in the Security Report section on this page.

How do I install TokenTracker?

Clone the repository with "git clone https://github.com/mm7894215/TokenTracker" and add it to your Claude Code skills directory (see the Installation section above).

What programming language is TokenTracker written in?

TokenTracker is primarily written in JavaScript. It is open-source under mm7894215 on GitHub, so you can review or fork the full source.

Are there alternatives to TokenTracker?

Yes. SkillsLLM lists many other CLI Tools skills you can browse and compare side by side. Open the CLI Tools category from the badge at the top of this page, or use the Related Skills and comparison links further down to weigh TokenTracker against similar tools.

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Token Tracker

English · 简体中文 · 日本語 · 한국어 · Deutsch

Track every AI token — then bring your usage to life

An accurate, local-first token usage and cost dashboard for 27 AI coding tools — plus a desktop pet, 4 native widgets, and 15 achievement tracks. No cloud account, no API keys, no setup.

📊 See the token dashboard in action

🏆 Unlock achievements from the way you actually code.

🎬 Meet TokenTracker

⭐ If TokenTracker saves you time, please star it on GitHub — it helps other developers find it.

⚡ Quick Start

Requirements: Node.js 20+ (CLI runs on macOS / Linux / Windows; native desktop app ships for both macOS (menu bar) and Windows (system tray). Cursor token reading uses the system sqlite3 CLI when available and falls back to node:sqlite on supported Node releases).

npx tokentracker-cli

That's it. First run installs hooks, syncs your data, and opens the dashboard at http://localhost:7680.

What you get in 30 seconds:

📊 A local dashboard at localhost:7680 with usage trends, model breakdown, cost analysis
🔌 Auto-detected hooks for every supported AI tool you have installed
🏠 100% local — no account, no API keys, no network calls (except optional leaderboard)
🧩 Optional: a Skills tab that browses 250+ public skills and syncs them across Claude · Codex · Grok · Antigravity · Gemini · OpenCode · Hermes

Want a native desktop app?

macOS — Download TokenTrackerBar.dmg → drag to Applications. Menu bar status icon, desktop widgets, and the dashboard in a WKWebView.

Windows — Download TokenTracker-Setup.exe → run the per-user installer (no admin needed). System-tray app with the dashboard in WebView2. Portable zip also on the releases page.

Install globally for shorter commands:

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

🍺 Homebrew (macOS)

Prefer brew? Install directly — no extra tap step needed:

# macOS menu bar app (DMG)
brew install --cask mm7894215/tokentracker/tokentracker

# CLI only
brew install mm7894215/tokentracker/tokentracker

Upgrade with brew upgrade --cask mm7894215/tokentracker/tokentracker. The tap auto-bumps within an hour of every new release.

✨ Features

🔌 27 AI tools out of the box — Claude Code, Codex CLI, Cursor, Gemini CLI, Antigravity, Kiro, OpenCode, OpenClaw, Every Code, Hermes Agent, GitHub Copilot, Kimi Code, CodeBuddy, WorkBuddy, Grok Build, oh-my-pi, pi, Craft Agents, Kilo CLI, Kilo Code, Roo Code, Zed Agent, Goose, Droid, Mimo Code, ZCode, AnythingLLM Desktop
🏠 100% local — Token data never leaves your machine. No account, no API keys.
🚀 Zero config — Hooks auto-install on first run. From zero to dashboard in 30 seconds.
📊 Beautiful dashboard — Usage trends, cost breakdowns by model, GitHub-style activity heatmap, project attribution
🖥️ Native desktop app — macOS menu bar (+ widgets) and Windows system tray, each with an embedded server and the dashboard in a native webview
🐾 Desktop pet — A pixel companion powered by real coding activity: it works when you work, celebrates streaks, and sleeps when you rest
🎨 4 desktop widgets — Pin Usage / Activity Heatmap / Top Models / Usage Limits to your desktop
🏆 15 achievement tracks — Turn daily usage, streaks, tools, models, and milestones into collectible badges worth sharing
📈 Real-time rate limit tracking — Claude / Codex / Cursor / Gemini / Kiro / Copilot / Antigravity quota windows with reset countdowns
💰 Cost engine — 2,200+ models priced via LiteLLM (auto-refreshed daily) + curated overrides for niche tools (Kiro, Cursor Composer, Kimi, CodeBuddy hy3); 24h disk cache + bundled offline snapshot mean accurate USD without an internet connection. Models without published vendor pricing (e.g. Tencent hy3-preview) are tracked by tokens but show $0 cost until the vendor publishes a rate.
🌐 Optional leaderboard — Compare with developers worldwide; drag-to-reorder columns to focus on the providers you care about (opt-in, sign in to participate)
🔄 Cross-device account view — Opt in to cloud sync and the dashboard merges your usage across every machine you work on (laptop + desktop + server) into one combined view — totals, trends, heatmap and model breakdown all device-aggregated (opt-in, sign in; the default local-only experience stays instant and offline)
🧩 Optional Skills tab — browse 250+ public skills from anthropics/skills, ComposioHQ/awesome-claude-skills, skills.sh and any GitHub repo you add; sync them across Claude / Codex / Grok / Antigravity / Gemini / OpenCode / Hermes with named targets and one-click Undo
🔒 Privacy-first — Only token counts and timestamps. Never prompts, responses, or file contents.

🖼️ Showcase

Dashboard — usage trends, model breakdown, cost analysis

Desktop Widgets — pin usage to your desktop

Menu Bar App — animated Clawd companion + native panels

Global Leaderboard — compare with developers worldwide