
Product
Unify Your Security Stack with Socket Basics
A single platform for static analysis, secrets detection, container scanning, and CVE checks—built on trusted open source tools, ready to run out of the box.
Welcome to your new gem! In this directory, you'll find the files you need to be able to package up your Ruby library into a gem. Put your Ruby code in the file lib/cubepay/ruby
. To experiment with that code, run bin/console
for an interactive prompt.
TODO: Delete this and the text above, and describe your gem
Add this line to your application's Gemfile:
gem 'cubepay-ruby'
And then execute:
$ bundle
Or install it yourself as:
$ gem install cubepay-ruby
TODO: Write usage instructions here
After checking out the repo, run bin/setup
to install dependencies. Then, run rake test
to run the tests. You can also run bin/console
for an interactive prompt that will allow you to experiment.
To install this gem onto your local machine, run bundle exec rake install
. To release a new version, update the version number in version.rb
, and then run bundle exec rake release
, which will create a git tag for the version, push git commits and tags, and push the .gem
file to rubygems.org.
Bug reports and pull requests are welcome on GitHub at https://github.com/[USERNAME]/cubepay-ruby. This project is intended to be a safe, welcoming space for collaboration, and contributors are expected to adhere to the Contributor Covenant code of conduct.
The gem is available as open source under the terms of the MIT License.
Everyone interacting in the Cubepay::Ruby project’s codebases, issue trackers, chat rooms and mailing lists is expected to follow the code of conduct.
FAQs
Unknown package
We found that cubepay demonstrated a not healthy version release cadence and project activity because the last version was released a year ago. It has 1 open source maintainer collaborating on the project.
Did you know?
Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.
Product
A single platform for static analysis, secrets detection, container scanning, and CVE checks—built on trusted open source tools, ready to run out of the box.
Product
Socket is launching experimental protection for the Hugging Face ecosystem, scanning for malware and malicious payload injections inside model files to prevent silent AI supply chain attacks.
Research
/Security News
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