I assume since you mentioned Kolmogorov complexity, that you probably have an understanding of how compression works.
Why would you add the layer of indirection of running a compression algorithm over something, when it has to measure the same thing you're trying to get at?
Given a character '1' at the beginning of a password, how likely is it that '2' is the next character? Compression tools answer this question, but then they go a different direction with the application of their answer.
Also, if your password guesser guesses anything but '123456' as its first guess, it's suboptimal, since that really is the most frequent password.
The only reason I'd add the layer of indirection is "they've already done it for me, but they didn't expose the API." I would also be interested in training a Bayes classifier or a neural network, but again, those aren't as easy to do as just appending two passwords to the end of a dictionary copies and feeding them to gzip.
Why would you add the layer of indirection of running a compression algorithm over something, when it has to measure the same thing you're trying to get at?
Given a character '1' at the beginning of a password, how likely is it that '2' is the next character? Compression tools answer this question, but then they go a different direction with the application of their answer.
Also, if your password guesser guesses anything but '123456' as its first guess, it's suboptimal, since that really is the most frequent password.