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 f-is-h · Codex Skill · ★ 399
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is Usage4Claude safe to install? View the security audit →
Usage4Claude English Français Track your Claude (and Codex) subscription quota — beautifully, in your menu bar. ✨ Monitors all Claude platforms: Web • Claude Code • Desktop • Mobile App • Cowork ✨ Features • Installation • User Guide • FAQ • Support ✨ Features 🎯 Core Features 📊 Real-time Monitoring - Display Claude subscription (Free/Pro/Team/Max) usage quota in menu bar, with optional Codex monitoring 🎯 Multi-Limit Support
| Stars | 399 |
| Forks | 47 |
| Language | Swift |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 66.2107353004211/100 |
| Open Issues | 6 |
| Last Updated | 2026-09-20 |
| Created | 2025-10-22 |
| Platforms | claude-code, codex |
| Est. Tokens | ~21k |
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Usage4Claude is Monitor all your Claude/Codex usage limits in real-time from your macOS menu bar - supports 5-hour, 7-day, extra usage, 7-day Opus and 7-day Sonnet quotas.. It is categorized as a Codex Skill with 399 GitHub stars.
Usage4Claude is primarily written in Swift. It covers topics such as claude, claude-ai, claude-code.
You can find installation instructions and usage details in the Usage4Claude GitHub repository at github.com/f-is-h/Usage4Claude. The project has 399 stars and 47 forks, indicating an active community.
Usage4Claude is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to Usage4Claude on Agent Skills Hub include cctop, claude-code-usage-bar, lockpaw. 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.
Sources & who's responsible: