TokenEater: Native macOS app to monitor AI usage limits and watch your coding sessions live

by AThevon · Codex Skill · ★ 523

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

How to install TokenEater

brew install --cask tokeneater
git clone https://github.com/AThevon/TokenEater.git

Taken from the project's README on GitHub. Check the security audit before running it.

Security audit verdict: SAFE · quality 73/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

anthropicclaudeclaude-codecodexcodex-climacosmenu-baropenaioverlaysession-monitor

Quick Facts

Stars523
Forks60
LanguageSwift
CategoryCodex Skill
LicenseMIT
Quality Score73/100
Open Issues3
Last Updated2026-11-04
Created2026-02-21
Platformsclaude-code, cli, codex
Est. Tokens~17k

About TokenEater

TokenEater Monitor your Claude AI usage limits directly from your macOS desktop. Website · Docs · Download Requires a Claude Pro, Max, or Team plan. The free plan does not expose usage data. What is TokenEater? A native macOS menu bar app + desktop widgets + floating overlay that trac

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. 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.

Sources & who's responsible:

View on GitHub → Browse Codex Skill tools