macOS
Homebrew已验证 · 100%
brew install splitraillocal Homebrew formula metadata
安装
其他安装命令
概览
软件包摘要
Real-time token usage tracker and cost monitor for CLI coding agents
历史
项目历史与用法
Splitrail is a cross-platform CLI for aggregating token usage and estimated cost data from AI coding agents. It can present local statistics, upload them to Splitrail Cloud for cross-machine aggregation, and expose statistics through an MCP server.
项目历史
Piebald AI created the public repository in 2025 and published v1.0.0 in August of that year. The project subsequently broadened its analyzers across Claude Code, Codex CLI, Gemini CLI and Qwen Code, Cline-derived tools, GitHub Copilot, OpenCode, Pi Agent, and related coding-agent environments.
采用历史
Splitrail is distributed as release binaries and through Homebrew. Its optional cloud companion adds private account storage, cross-machine aggregation, and leaderboard features without replacing the local CLI workflow.
使用方式
Running `splitrail` reviews discovered coding-agent usage. `splitrail mcp` starts an MCP server with tools for daily statistics, model usage, costs, file operations, and comparisons; cloud upload is configured with an API token and upload preferences in `~/.splitrail.toml`.
为什么软件包爱好者会关心
Splitrail reflects the emergence of a new CLI observability niche around AI-assisted development: one local binary normalizes usage records from otherwise separate agent ecosystems and can expose the aggregate through MCP.
时间线
- 2025: Official repository created.
- 2025: v1.0.0 published.
- 2026: Splitrail documented broad multi-agent support, cloud aggregation, and an MCP server.
Related projects
- Splitrail Cloud is the optional hosted companion for synchronization and aggregation.
- Piebald is the agentic developer product from the same team.
来源
安全态势
尚未找到受保护工具覆盖
没有找到 splitrail 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
~/.splitrail.toml
Credential files
Credential-bearing paths to review before unattended agent runs.
- Unix
~/.splitrail.toml
可执行文件
已安装的可执行文件
| 命令 | 类型 | 暴露范围 | 备注 |
|---|---|---|---|
splitrail | cli | 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2026-07-25
管理器版本3.6.1
管理器更新时间2026-07-22
本地数据OK
上游当前
检测到的最新版本v3.6.1
https://github.com/Piebald-AI/splitrail
- 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:splitrail |
|---|---|
| 版本 | 3.6.1 |
| 软件包管理器 | Homebrew |
| 软件包管理器页面 | https://formulae.brew.sh/formula/splitrail |
| 主页 | https://splitrail.dev/ |
| 仓库 | https://github.com/Piebald-AI/splitrail |
| 上游文档 | https://github.com/Piebald-AI/splitrail#readme |
| 许可证 | MIT |
| 源码归档 | https://github.com/Piebald-AI/splitrail/archive/refs/tags/v3.6.1.tar.gz |
| 最后更新 | 2026-07-22T19:42:09Z |
| Pulse | updated |
| 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 Database | Homebrew formula API |
|---|---|
| Tap | homebrew/core |
| Full Name | splitrail |
| Version Scheme | 0 |
| Revision | 0 |
| Head Version | HEAD |
| Bottle Stable Root URL | https://ghcr.io/v2/homebrew/core |
| Deprecated | no |
| Disabled | no |
| Keg Only | no |
| URL Keys |
|
来源线索
由仓库数据生成
此页面由 av-web 从 scripts/generate-pkg-sqlite.py 生成的私有软件包 SQLite 工件提供。
Combined YAML source
View the package source record on GitHub.
使用的来源
- 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