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使用 Homebrew 安装 objc-run

查看 objc-run 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 objc-run

local Homebrew formula metadata

概览

软件包摘要

Use Objective-C files for shell script-like tasks

命令和别名

  • objc-run

历史

项目历史与用法

objc-run is a shell script that compiles and executes Objective-C source files so they can be used for small macOS scripting-style tasks without creating an Xcode project. Its README describes it as suitable for jobs such as manipulating plist files and as similar to CodeRunner without a user interface.

项目历史

The GitHub repository was created on 2014-01-03, with a short burst of activity through early 2014 and tags from 1.0 to 1.4. The repository metadata recorded the last push on 2014-02-10, making it a compact, stable script rather than a long-running framework.

The project wrapped the native Objective-C compiler flow behind a single executable and added two conveniences: shebang-style execution with `#!/usr/bin/env objc-run`, and CocoaPods integration by embedding a Podfile section inside a C comment in the Objective-C source file.

采用历史

The GitHub repository metadata recorded 424 stars and 13 forks, which is meaningful for a single shell script in the Objective-C tooling niche. Homebrew core packaged version 1.4 as a macOS-only formula with one executable and recorded 31 installs over 365 days in the 2026-07-01 formula JSON.

使用方式

A user runs `objc-run myfile.m arg1 arg2`; the script compiles `myfile.m` into a temporary application named after the source file, launches it with the remaining arguments, and removes the compiled output after execution. With a shebang line and executable bit, the `.m` file can be invoked directly from the terminal.

The CocoaPods feature made the script more useful for small Objective-C programs that wanted third-party libraries without a full project setup: the source file could include pod declarations between `podfile-start` and `podfile-end` markers.

为什么软件包爱好者会关心

objc-run is a small but telling package: it treats Objective-C as a shell-scripting language for Mac automation. For av.db, it belongs with developer conveniences that expose a platform compiler in one command rather than building a new language runtime or project template.

时间线

  • 2014-01-03: the public GitHub repository was created.
  • 2014-02-10: GitHub API metadata recorded the repository's last push.
  • 2026-07-01: Homebrew core formula metadata listed stable version 1.4.

Related projects

  • objc-run is tied to clang/Xcode command-line compilation, CocoaPods, macOS Foundation/Cocoa scripting, and small Objective-C command-line programs. It overlaps in spirit with tools such as CodeRunner, but it stays as a terminal script.

安全态势

风险级别:yellow

generalized runtime or code generation signal.

风险分类器

yellow 风险 · 中 置信度 · runtime

原因

  • generalized runtime or code generation signal

信号

  • text:shell

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 1 个平台目标。

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
objc-runcli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1.4
管理器更新时间
本地数据OK
上游当前
检测到的最新版本1.4

https://github.com/iljaiwas/objc-run

  • 信息No package-manager update timestamp was available.低 置信度

安装元数据

软件包元数据

软件包键brew:objc-run
版本1.4
软件包管理器Homebrew
软件包管理器页面https://formulae.brew.sh/formula/objc-run
主页https://github.com/iljaiwas/objc-run
仓库https://github.com/iljaiwas/objc-run
上游文档https://github.com/iljaiwas/objc-run#readme
许可证MIT
源码归档https://github.com/iljaiwas/objc-run/archive/refs/tags/1.4.tar.gz
Bottle可用 (于 all)
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 Nameobjc-run
Version Scheme0
Revision0
Head VersionHEAD
Requirements
  • macos
Bottle Stable Root URLhttps://ghcr.io/v2/homebrew/core
Deprecatedno
Disabledno
Keg Onlyno
URL Keys
  • head
  • 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 package history
  • package relationship graph
  • package version freshness
  • package-page enrichment