The ultimate WinRM shell for hacking/pentesting

The ultimate WinRM shell for hacking/pentesting. AI edition.

Test Kitchen is an integration tool for developing and testing infrastructure code and software on isolated target platforms.

Execute commands remotely over SSH and WinRM

A library for creating machines and infrastructures idempotently in Chef.

Ruby library for file system operations via Windows Remote Management

Windows Guest Support for Vagrant

Plugin that adds functionality to Chef's Knife CLI for configuring/interacting with nodes running Microsoft Windows

Ruby library for running commands via WinRM as elevated through a scheduled task

This gem is deprecated in favor of train.

Ansible Config Parser for Serverspec. Run test Multi Role and Multi Host by Ansible Configuration

Allows applictaions using Train to speak to Windows using Remote Management; handles authentication, cacheing, and SDK dependency management.

vagrant-serverspec is a Vagrant plugin that integrates serverspec into your workflow.

EventMachine based, asynchronous parallel WinRM client

EventMachine based, asynchronous parallel WinRM client

A Knife plugin to create, list and manage vCloud servers

A package that depends on all the gems Vox Pupuli modules need and methods to simplify acceptance spec helpers

This gem extends Capistrano's base functionality to support WinRM which allows one to run commands across Windows boxes with the "winrm_run" method.

Provides versioning and promotion logic for chef artifacts.

The eGTLabs Mu toolkit for unified cloud deployments. This gem contains the Mu deployment interface to cloud provider APIs. It will generate a sample configuration the first time it is invoked. Mu will attempt to autodetect when it's being run in a virtual machine on a known cloud provider and activate the appropriate API with machine-based credentials. Installing this gem on an Amazon Web Service instance, for example, should automatically enable the MU::Cloud::AWS layer and attempt to use the machine's IAM Profile to communicate with the AWS API.