So, my Nostr auto-moderator training system is now in Alpha, and there's working code you can check out and try (or break!).

You don't need to be a developer to try it, but it helps if you've used a command line before.

There will be bugs, let me know what you find!

HOW TO INSTALL

==============

1. Prepare infrastructure

You will need a computing device - a desktop, laptop, tablet or possibly mobile phone.

Linux or *BSD: you're good to go!

Windows: you will need to install https://cygwin.com/ (free and Open Source)

MacOS: you will need to install https://brew.sh (free and Open Source)

Android: you will need to install https://termux.dev/en/ (free and Open Source)

iOS: forget it

2. Set up build environment

You will need to install python-pip and virtualenv, and probably git and torsocks as well

Linux or *BSD: open a terminal window, and enter "apt-get install python3-pip python3-virtualenv git torsocks " (or as per your package manager)

Windows: run the Cygwin install program again, and select python3-pip, python3-virtualenv, git and tor

MacOS: open a terminal window, and enter "brew install python" then "brew install git torsocks"

Android: open a Termux terminal, then as per Linux

3. Install libraries

Open a terminal window (Cygwin's terminal for Windows users)

Create a folder for MINITRU:

mkdir minitru

cd minitru

4. Create a "virtual environment" to install libraries in

virtualenv env_minitru

Activate this virtual environment for this session:

. env_minitru/bin/activate

5. Clone this project:

torsocks git clone git-ro@uehkilylfklvvrx7rj7pua2piprkoc3l26hwk4w5wyeeingbwg6fkpid.onion:/home/git/repos/minitru.git

Password is "minitru" without quotes

Further details in the README.

Client developers, this is a capability you might want to look into integrating at some point.