# 使用 Homebrew 安装 grayskull 查看 grayskull 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 ```sh sudo av install brew:grayskull ``` 其他安装命令: ### macOS - Homebrew (100%): ```sh brew install grayskull ``` 证据: local Homebrew formula metadata ## 软件包事实 - **软件包键:** brew:grayskull - **软件包管理器:** Homebrew - **版本:** 3.1.1 - **来源摘要:** Recipe generator for Conda - **主页:** - **仓库:** - **最后更新:** 2026-07-10T12:03:34Z - **已生成:** 2026-08-03T19:37:03+00:00 ## 可执行文件 - conda-grayskull (别名) - conda-greyskull (别名) - grayskull (别名) - greyskull (别名) ## 安装行为 - Bottle: 不可用 ## 版本和新鲜度 - 页面生成时间: 2026-08-03 - 管理器版本: 3.1.1 ## 项目历史与用法 Grayskull is a conda recipe generator built to produce concise recipes for conda-forge. It is a packaging tool for packaging people: a CLI that converts upstream package metadata into conda-build recipe structure. ### 项目历史 The official README says Grayskull was created with the intention of eventually replacing conda skeleton. The conda-forge blog introduced it in March 2020 as a way to generate better Conda recipes for projects available from sources such as PyPI, CRAN, Conan, GitHub releases, and repositories. Early public releases moved quickly in February and March 2020, with PyPI recording 0.1.x and 0.2.x releases and the conda-forge blog discussing version 0.2.1. The project later moved under the conda GitHub organization, reinforcing its role as conda ecosystem infrastructure. The 2.x and 3.x release lines show ongoing maintenance as Python packaging standards, recipe conventions, and conda-forge automation evolved. ### 采用历史 Grayskull's adoption is tied to conda-forge contributor workflows. Instead of writing a recipe from scratch, maintainers can generate an initial meta.yaml from PyPI, GitHub, or CRAN metadata, then review and adjust it for feedstock submission. The conda-forge blog compared Grayskull with conda-build skeleton using pytest as an example and emphasized better dependency handling, selectors, compiler detection, license information, and generation speed. ### 使用方式 The documented CLI is centered on commands such as grayskull pypi package-name, optionally with version pins, output directories, and maintainers. The generated recipe is a starting point for conda-build or conda-forge feedstock work. The README and documentation state that Grayskull can generate recipes for Python packages on PyPI, packages available as GitHub repositories, and R packages on CRAN. ### 为什么软件包爱好者会关心 Grayskull is package-nerd machinery in its purest form: it packages the act of packaging. Its value is reducing recipe boilerplate while still producing metadata that maintainers can inspect. It also marks a shift from conda skeleton's older heuristics toward richer metadata extraction, better selectors, and conda-forge-aware recipe style. ### 时间线 - 2020-02: PyPI records early 0.1.x releases. - 2020-03: conda-forge publishes an introduction to Grayskull and discusses version 0.2.1. - 2020-06: PyPI records the 0.7.x series. - 2022: PyPI records the 1.x series through 1.8.x. - 2023: PyPI records the 2.0.0 release and continued 2.x releases. - 2026: PyPI records the 3.0.x and 3.1.x release series. ### Related projects - conda-build skeleton: the older recipe-generation command Grayskull was designed to improve on or replace. - conda-forge: Grayskull generates recipes intended to be concise and suitable for conda-forge workflows. - PyPI, GitHub, CRAN, Conan, and CPAN are source ecosystems discussed by Grayskull documentation and roadmap material. ### 来源 - - - - ## 安全说明 没有找到 grayskull 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。 ## Combined YAML source View the package source record on GitHub. [combined/grayskull.yml](https://github.com/mxcl/pkgdb/blob/main/combined/grayskull.yml) ## 来源 - pkg.so package database - Geiger risk classifier - curated package history - pkgdb category and tag curation - cross-ecosystem install command graph