smokebrew

Kwalitee Fails

Core metrics

These fails do affect your Kwalitee scores. This distribution may not be installed cleanly, or may have some issues in license or documentation. Please consider fixing them, or tell us if they are false.

metricremedy
meta yml conforms to known spec

META.yml does not conform to any recognised META.yml Spec.

Take a look at the META.yml Spec at http://module-build.sourceforge.net/META-spec-v1.4.html (for version 1.4) or http://search.cpan.org/perldoc?CPAN::Meta::Spec (for version 2), and change your META.yml accordingly.

has changelog

The distribution hasn't got a Changelog (named something like m/^chang(es?|log)|history$/i. A Changelog helps people decide if they want to upgrade to a new version.

Add a Changelog (best named 'Changes') to the distribution. It should list at least major changes implemented in newer versions.

no broken module install

This distribution uses an obsolete version of Module::Install. Versions of Module::Install prior to 0.61 might not work on some systems at all. Additionally if your Makefile.PL uses the 'auto_install()' feature, you need at least version 0.64. Also, 1.04 is known to be broken.

Upgrade the bundled version of Module::Install to the most current release. Alternatively, you can switch to another build system / installer that does not suffer from this problem. (ExtUtils::MakeMaker, Module::Build both of which have their own set of problems.)

manifest matches dist

MANIFEST does not match the contents of this distribution.

Run a proper command ("make manifest" or "./Build manifest", maybe with a force option), or use a distribution builder to generate the MANIFEST. Or update MANIFEST manually.

Extra metrics

These fails affect your total Kwalitee score, but don't affect the one for the Game. Some of them should be fixed by all means. Others are just matters of taste.

metricremedy
is prereq

This distribution is not required by another distribution by another author.

Convince / force / bribe another CPAN author to use this distribution.

Experimental metrics

Excellent. Your distribution passes all the experimental metrics.

History