npm package discovery and stats viewer.

Discover Tips

  • General search

    [free text search, go nuts!]

  • Package details

    pkg:[package-name]

  • User packages

    @[username]

Sponsor

Optimize Toolset

I’ve always been into building performant and accessible sites, but lately I’ve been taking it extremely seriously. So much so that I’ve been building a tool to help me optimize and monitor the sites that I build to make sure that I’m making an attempt to offer the best experience to those who visit them. If you’re into performant, accessible and SEO friendly sites, you might like it too! You can check it out at Optimize Toolset.

About

Hi, 👋, I’m Ryan Hefner  and I built this site for me, and you! The goal of this site was to provide an easy way for me to check the stats on my npm packages, both for prioritizing issues and updates, and to give me a little kick in the pants to keep up on stuff.

As I was building it, I realized that I was actually using the tool to build the tool, and figured I might as well put this out there and hopefully others will find it to be a fast and useful way to search and browse npm packages as I have.

If you’re interested in other things I’m working on, follow me on Twitter or check out the open source projects I’ve been publishing on GitHub.

I am also working on a Twitter bot for this site to tweet the most popular, newest, random packages from npm. Please follow that account now and it will start sending out packages soon–ish.

Open Software & Tools

This site wouldn’t be possible without the immense generosity and tireless efforts from the people who make contributions to the world and share their work via open source initiatives. Thank you 🙏

© 2026 – Pkg Stats / Ryan Hefner

@shellus/mjcli

v0.1.0

Published

MJ Studio CLI - 命令行客户端

Readme

@shellus/mjcli

MJ Studio 命令行客户端。

安装

npm install -g @shellus/mjcli

配置

export MJCLI_URL=https://your-domain.com
export MJCLI_KEY=mjs_xxxxxxxxxxxx

使用

# 列出模型
mjcli model ls
mjcli model ls -t image --pretty

# 列出助手
mjcli assistant ls --pretty

# AI 对话
mjcli chat "你好" -a 6
mjcli chat "继续" -a 6 -c 123

# 生成图片
mjcli image "一只猫" -m 244
mjcli image "风格转换" -m 244 -r ./photo.jpg --async

# 生成视频
mjcli video "日落延时" -m 79

# 查看任务
mjcli task ls -t image -s success -l 5 --pretty
mjcli task get 789 --pretty

# 上传文件
mjcli upload ./photo.jpg

输出模式

  • TTY(终端):自动使用人类可读格式
  • 非 TTY(管道):自动输出紧凑 JSON,方便 jq 处理
  • --json:强制 JSON 输出
  • --pretty:强制人类可读输出