Automic VaultAutomic Vault

brew

使用 Homebrew, Nix 安装 try

查看 try 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 try

local Homebrew formula metadata

Linux

Nix已验证 · 92%
nix profile install nixpkgs#try

nixpkgs package indexes · pkgs/by-name/tr/try/package.nix · 来源: api.github.com

概览

软件包摘要

Quickly manage and navigate project directories for experiments

命令和别名

  • try

历史

项目历史与用法

try is a small Ruby command-line tool for creating, finding, and entering fresh directories for short-lived experiments. The README frames it as a one-file script for developers who keep making test directories and want those experiments organized instead of lost in /tmp or scattered across a filesystem.

项目历史

The project is maintained in Tobi Lutke's GitHub account and centers on the phrase 'Your experiments deserve a home.' Its implementation and documentation emphasize zero configuration, no runtime dependencies beyond Ruby, and a shell integration that lets the command change the caller's working directory.

采用历史

try became visible well beyond a private dotfile script: GitHub shows thousands of stars, the repository includes Homebrew formula material, and the README recommends RubyGems installation as try-cli. It also has a later Rust descendant, try-rs, whose README names this project as the inspiration.

使用方式

A typical user installs the gem or downloads the script, evaluates the shell init output, and then types partial experiment names. try fuzzy-matches existing experiment directories, ranks recent ones highly, and creates dated directories when no existing match is selected.

为什么软件包爱好者会关心

The project is a package-nerd artifact because it turns a personal shell habit into a packaged CLI with RubyGems and Homebrew paths. It is intentionally small, but it influenced the later try-rs rewrite and sits in the lineage of tiny tools that formalize local development rituals.

时间线

  • 2026: GitHub release v1.9.0 added terminal title behavior for the TUI.
  • 2026: The README documents RubyGems as the recommended installation path and manual shell setup as a fallback.

Related projects

  • try-rs is the direct Rust port and re-imagining of try.
  • The tool is related to fuzzy directory switchers and shell workspace managers, but focuses specifically on experiment directories.

安全态势

风险级别:绿色

narrow executable package without higher-risk signals.

风险分类器

绿色 风险 · 低 置信度 · appliance

原因

  • narrow executable package without higher-risk signals

信号

  • metadata:no-higher-risk-signals

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。
  • 安装时包含 1 个运行时依赖。

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。

可执行文件

已安装的可执行文件

命令类型暴露范围备注
trycli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1.9.3
管理器更新时间2026-06-06
本地数据OK
上游当前
检测到的最新版本v1.9.3

https://github.com/tobi/try

  • 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:try
版本1.9.3
软件包管理器Homebrew
软件包管理器页面https://formulae.brew.sh/formula/try
主页https://github.com/tobi/try
仓库https://github.com/tobi/try
上游文档https://github.com/tobi/try#readme
许可证MIT
源码归档https://github.com/tobi/try/archive/refs/tags/v1.9.3.tar.gz
最后更新2026-06-06T20:23:54-04:00
Pulseupdated
依赖ruby
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 Nametry
Version Scheme0
Revision0
Head VersionHEAD
Bottle Stable Root URLhttps://ghcr.io/v2/homebrew/core
Deprecatedno
Disabledno
Keg Onlyno
URL Keys
  • head
  • stable

源数据库匹配

其他软件包管理器记录

匹配项来自外部软件包管理器索引,并与本地 Automic Vault 软件包链接分开显示。

Nix95%

try

nix profile install nixpkgs#try
  • normalized package name match
  • 匹配方式:Try
nixpkgs package indexes · api.github.com · nixpkgs package indexes: pkgs/by-name/tr/try/package.nix from https://api.github.com/repos/NixOS/nixpkgs/git/trees/master?recursive=1

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 package history
  • external package-manager database matches
  • package relationship graph
  • package version freshness
  • package-page enrichment