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brew

使用 Homebrew 安装 ccusage

查看 ccusage 的安装路径、可执行文件、元数据以及面向 AI 代理工作流的安全说明。

安装

其他安装命令

macOS

Homebrew已验证 · 100%
brew install ccusage

local Homebrew formula metadata

概览

软件包摘要

CLI tool for analyzing Claude Code usage from local JSONL files

命令和别名

  • ccusage
  • generate-config-schema

历史

项目历史与用法

ccusage is a local CLI for analyzing token usage and estimated costs from coding-agent CLIs. It began as Claude Code usage analysis and expanded into unified reports for Claude Code, Codex, OpenCode, Amp, Droid, Codebuff, Hermes Agent, pi-agent, Goose, OpenClaw, Kilo, Kimi, Qwen, GitHub Copilot CLI, and Gemini CLI.

项目历史

The official guide says the original cc stood for Claude Code usage and now also fits Codex CLI usage. GitHub metadata shows the repository was created in May 2025, and the package metadata describes ccusage as analyzing coding-agent CLI token usage and costs from local data.

The project has moved quickly: official releases show the v20 series in 2026, and the docs emphasize all-local, read-only analysis with JSON and table output.

采用历史

The official README highlights direct execution through npx, bunx, pnpm dlx, and Nix, plus a Homebrew package in the input facts. Its adoption is tied to the rise of agentic coding CLIs that store token and model usage locally.

使用方式

Users run commands such as ccusage daily, weekly, monthly, session, or source-focused commands like ccusage codex daily. Configuration can come from CLI flags, a custom config, environment variables, .ccusage/ccusage.json, ~/.config/claude/ccusage.json, or ~/.claude/ccusage.json.

为什么软件包爱好者会关心

ccusage is package-nerd significant as a fast-moving observability tool for local AI coding workflows. It turns scattered JSONL and state files from multiple CLIs into a packageable, scriptable cost and token accounting surface.

时间线

  • 2025: Official GitHub repository created.
  • 2026: v20 series releases published.
  • 2026: Official docs describe unified reports across many coding-agent CLI data sources.

Related projects

  • Claude Code and Codex are core data sources described in the official guide.
  • The README also lists OpenCode, Amp, Droid, Codebuff, Hermes Agent, pi-agent, Goose, OpenClaw, Kilo, Kimi, Qwen, GitHub Copilot CLI, and Gemini CLI as supported sources.

安全态势

尚未找到受保护工具覆盖

没有找到 ccusage 的匹配本地密钥处理 manifest。Nucleus 软件包元数据仍在此发布,以便未来覆盖拥有稳定的软件包 URL。

安装行为

  • formula 元数据中未记录 Homebrew post-install 钩子。
  • Homebrew bottle 元数据适用于 6 个平台目标。
  • 构建元数据列出 1 个构建依赖。

建议审查

在无人值守的代理使用前,请检查该工具是否读取明文凭据、写入远程状态、发布制品或调用插件。

local files

Configuration and credential file locations

These source-backed paths show where this package keeps local settings or durable credentials. Automic Vault can use them as review targets for secret scanning, migration, and command approval.

Configuration files

Config paths the tool may read or write during local use.

Unix
.ccusage/ccusage.json~/.claude/ccusage.json~/.config/claude/ccusage.json

可执行文件

已安装的可执行文件

命令类型暴露范围备注
ccusagecli全局可执行文件
generate-config-schemacli全局可执行文件

新鲜度

版本和新鲜度

这些信号区分页生成时间、软件包管理器活动和上游发布比较。只有存在证据 URL 和可比较版本时,才会提示版本落后。

页面生成时间2026-07-08
管理器版本20.0.14
管理器更新时间2026-07-04
本地数据OK
上游当前
检测到的最新版本v20.0.14

https://github.com/ccusage/ccusage

  • OK没有生成新鲜度警告。

安装元数据

软件包元数据

软件包键brew:ccusage
版本20.0.14
软件包管理器Homebrew
软件包管理器页面https://formulae.brew.sh/formula/ccusage
主页https://github.com/ccusage/ccusage
仓库https://github.com/ccusage/ccusage
上游文档https://ccusage.com/guide
许可证MIT
源码归档https://github.com/ccusage/ccusage/archive/refs/tags/v20.0.14.tar.gz
最后更新2026-07-04T16:53:42+09:00
Pulseupdated
构建依赖rust
Bottle可用 (于 arm64_linux, arm64_sequoia, arm64_sonoma, arm64_tahoe, sonoma, x86_64_linux)
Homebrew post-install未定义
服务未声明

注册表事实

源数据库详情

Source DatabaseHomebrew formula API
Taphomebrew/core
Full Nameccusage
Version Scheme0
Revision0
Bottle Stable Root URLhttps://ghcr.io/v2/homebrew/core
Deprecatedno
Disabledno
Keg Onlyno
URL Keys
  • stable

来源线索

由仓库数据生成

此页面由 av-webscripts/generate-pkg-sqlite.py 生成的私有软件包 SQLite 工件提供。

使用的来源

  • Geiger risk classifier
  • Nucleus package database
  • av.db category and tag curation
  • cross-ecosystem install command graph
  • curated configuration and credential file locations
  • curated package history
  • package relationship graph
  • package version freshness
  • package-page enrichment