Support benchmark-specific arguments for a fuzzer

Hi,

I am reading this https://google.github.io/fuzzbench/getting-started/adding-a-new-fuzzer/ to add AFLSmart (https://github.com/aflsmart/aflsmart) so it can be benchmarked using FuzzBench. However, AFLSmart supports a few more arguments, especially the one taking an input model (-g) to enable its structure-aware capability. I have two questions regarding this

1) How to support this -g argument in FuzzBench?
2) Since the input model is target program-specific. For example, LibPNG takes PNG input model, LibJpeg-turbo takes JPEG input model. As far as I understand, FuzzBench uses projects integrated into OSS-Fuzz for benchmarking so where should I store AFLSmart's input models and how to map them to the corresponding OSS-Fuzz projects?

I am thinking about a simple solution which could answer the above questions but I am not sure it is desirable. The solution is that I fix the -g argument with an input model, say "-g model.xml" and when I build a OSS-Fuzz project, I copy a corresponding input model to the working folder and rename it to model.xml.

Thuan