# grayskull を Homebrew でインストール
grayskull のインストール経路、実行ファイル、メタデータ、AI エージェント向けセキュリティノートを確認します。
## インストール
```sh
sudo av install brew:grayskull
```
追加のインストールコマンド:
### macOS
- Homebrew (100%):
```sh
brew install grayskull
```
証拠: local Homebrew formula metadata
## パッケージ情報
- **パッケージキー:** brew:grayskull
- **パッケージマネージャ:** Homebrew
- **バージョン:** 3.1.1
- **ソース概要:** Recipe generator for Conda
- **ホームページ:**
- **リポジトリ:**
- **最終更新:** 2026-07-10T12:03:34Z
- **生成日時:** 2026-08-03T19:37:03+00:00
## 実行可能ファイル
- conda-grayskull (エイリアス)
- conda-greyskull (エイリアス)
- grayskull (エイリアス)
- greyskull (エイリアス)
## インストール挙動
- Bottle: 利用不可
## バージョンと鮮度
- ページ生成日: 2026-08-03
- マネージャ版: 3.1.1
## プロジェクトの歴史と使われ方
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.
### プロジェクトの歴史
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.
### 採用の歴史
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.
### 使われ方
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.
### パッケージ好きにとっての重要性
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.
### タイムライン
- 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.
### ソース
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## セキュリティノート
grayskull に一致するローカルシークレット処理マニフェストは見つかりませんでした。将来の対応で安定したパッケージ URL を使えるよう、Nucleus パッケージメタデータはここに公開されています。
## Combined YAML source
View the package source record on GitHub. [combined/grayskull.yml](https://github.com/mxcl/pkgdb/blob/main/combined/grayskull.yml)
## ソース
- pkg.so package database
- Geiger risk classifier
- curated package history
- pkgdb category and tag curation
- cross-ecosystem install command graph