Offer filtering out of common non-addresses.
There are whole classes of addresses that most people never want in their completion tables. A few examples from these classes:
donotreply@united.com
noreply.e-verify@uscis.dhs.gov
reply-feca1c747715007f-15_html-1849362430-7279955-40307@engage.windows.com
d+aorgprcrnf97mx12o4meamfbdfnf-hwiht1_ym1bcazx69dhdgo06mzc5i0-qhgtiztsqj4jtcfnmnysykqgykkgqr1gczlvw31lrgecznzydguyoazyqoo@docs.google.com
reply+00061ed7be1b421f2bc60d5b1fe39f9fccd3c4a4fcc225a312cf000000011196e0f292a169ce05468b28@reply.github.com
eb-tbbfm3tey-usp1a3ute-dh4rdim4hovwsqub6k4z6hyqtq@slack-mail.com
c27hr15cqxbdvbm@marketplace.amazon.com
reply-fe5a167377110c787c17-4328983_html-111504058-10955729-202725@email.amctheatres.com
m04f8ooxa718075e1903aad6de07130eafbd145d8ec69@reply.kickstarter.com
us15-3bf6a711fb-dd1d47019a@conversation01.mailchimpapp.com
2.16168869183512.7187229029631.16168869183513.0uirhm5kr8xsfs4pgnmxkvoq85pauleockq616kpbdvtriliwo@mail.asana.com
...you get the idea.
There are a number of tests we could apply, and they could go beyond what a user can cover with the --skip-regexps
option.