by aqua5230 · Codex Skill · ★ 223
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
usage 繁體中文 · English 是一個 macOS menu bar（螢幕右上角的選單列）小工具，把 Claude Code 跟 Codex 的用量釘在你的螢幕右上角。點開可以看到 Session、Weekly、各專案用量（今日 / 7 日 / 月），以及今日 token 用量與成本估算。 不呼叫 Anthropic / OpenAI 的 API（接口）、也不讀 Keychain（macOS 內建的密碼保險箱），所以不會發生「自己每分鐘 ping 一次也算用量」這種事。 它怎麼拿到你的用量數字 用量數字來自 Claude Code 跟 Codex 在你本機留下的檔案，不呼叫 Anthropic / OpenAI 的 API。唯一的例外：估算 Codex 成本時需要 token 單價表，如果本機沒有快取（），會嘗試從公開的 LiteLLM 價格表 下載一次並存起來，7 天後過期再抓。下載失敗的話會用內建的 fallback 價格，不影響用量百分比的顯示。首次啟動若沒快取會同步抓一次，網路慢時可能要等 10 秒。 Claude Code 用量 usage 會幫你裝一個小腳本，這個小腳本叫做 statusLine hook（hook 就是「事件觸發點」，每次 Claude Code 刷新狀態列就會自動跑一次的小程式）。流程是這樣： Claude Code 每次更新狀態列時，會把「這 5 小時用了百分之幾、這 7 天用了百分之幾」這類資訊整理成 JSON 透過標準輸入（stdin）餵給 hook hook 把 JSON 寫進 這個檔 usage 主程式去讀這個檔
| Stars | 223 |
| Forks | 38 |
| Language | Python |
| Category | Codex Skill |
| License | AGPL-3.0 |
| Quality Score | 51.916/100 |
| Last Updated | 2026-06-20 |
| Created | 2026-05-17 |
| Platforms | claude-code, codex, python |
| Est. Tokens | ~15k |
Looking for a usage alternative? If you're comparing usage with other codex skill tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
Ultra-fast token & cost tracker for LLM Token Usage (e.g. Claude Code)
Local-first macOS app to browse, search, analyze, and resume supported AI coding-agent session history across
macOS Dynamic Island for AI coding agents. Monitor, approve, and jump to Claude Code sessions from the notch.
htop for your Claude Code sessions — real-time cost, cache efficiency, model comparison, and smart alerts
macOS Dynamic Island for AI coding agents. Monitor, approve, and jump to Claude Code sessions from the notch.
The Orchestration Layer for AI Coding Agents
Explore other popular codex skill tools:
usage is macOS menu bar app pinning Claude Code & Codex quota, tokens, and cost to your screen. Local-only, zero API calls. HTML reports, 9 themes.. It is categorized as a Codex Skill with 223 GitHub stars.
usage is primarily written in Python. It covers topics such as agpl, ai-tools, anthropic.
You can find installation instructions and usage details in the usage GitHub repository at github.com/aqua5230/usage. The project has 223 stars and 38 forks, indicating an active community.
usage is released under the AGPL-3.0 license, making it free to use and modify according to the license terms.
The top alternatives to usage on Agent Skills Hub include toktrack, agent-sessions, MioIsland. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.