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Introducing Pull Request Stories to Help Security Teams Track Supply Chain Risks
Socket’s new Pull Request Stories give security teams clear visibility into dependency risks and outcomes across scanned pull requests.
This gem implements a PIAWE report generator
Add this line to your application's Gemfile:
gem 'jg_piawe'
And then execute:
$ bundle
Or install it yourself as:
$ gem build piawe.gemspec
$ gem install jg_piawe-0.1.1.gem
Once the gem has been installed, PIAWE reports can be produced using the piawe_report command line utility. The syntax for this utility is:
piawe_report peopleFile rulesFile [reportDate]
e.g.:
piawe_report ~/workspace/piawe/spec/files/people.json ~/workspace/piawe/spec/files/rules_fixed.json '2017/02/01'
The date parameter is optional - it will default to the current date if omitted.
The report will be output to stdout.
Doc and Coverage reports have been included in the repo for convenience - they can be found in the doc and coverage directories.
After checking out the repo, run bin/setup
to install dependencies. Then, run rake spec
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 lib/piawe/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.
FAQs
Unknown package
We found that jg_piawe 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
Socket’s new Pull Request Stories give security teams clear visibility into dependency risks and outcomes across scanned pull requests.
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