No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by xiufengsun · Codex Skill · ★ 1.9k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is TokenTracker safe to install? View the security audit →
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 29 AI coding tools — plus a desktop pet, 4 native widgets, and 15 achievement tracks. No cloud account, no API keys, no setup. [
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TokenTracker is Local-first AI token usage & cost tracker for 31 coding tools incl. Claude Code, Codex, Cursor, Gemini & DeepSeek Harness—with native apps. Never reads prompts.. It is categorized as a Codex Skill with 1.9k GitHub stars.
TokenTracker is primarily written in JavaScript. It covers topics such as ai-coding-tools, ai-tools, antigravity.
You can find installation instructions and usage details in the TokenTracker GitHub repository at github.com/xiufengsun/TokenTracker. The project has 1.9k stars and 199 forks, indicating an active community.
TokenTracker is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to TokenTracker on Agent Skills Hub include TokenTracker, token-monitor, ai-devkit. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
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