Multi–repository software projects are becoming more and more popular, thanks to web–based facilities such as GitHub. Code and process metrics generally assume a single reposi-tory must be analyzed, in order to measure the characteris-tics of a codebase. Thus they are not apt to measure how much relevant information is hosted in multiple repositories contributing to the same codebase. Nor can they feature the characteristics of such a distributed development pro-cess. We present a set of novel metrics, based on an original classification of commits, conceived to capture some interest-ing aspects of a multi–repository development process. We also describe an efficient way to build a data structure that allows to compute these metrics on a set of Git reposito-ries. Interesting outcomes, obtained by applying our metrics on a large sample of projects hosted on GitHub, show the usefulness of our contribution.