A lot of this is a framing problem. Remember that anything we're discussing here is in human terms, not (for example) raw Universal Turing Machine tape-streams with measurable Komolgorov complexities. So when you say "what probability do you assign to me being able to assign 100% probability", you're abstracting a LOT of little details that otherwise need to be accounted for.

I.e., if I'm computing probabilities as a set of propositions, each of which is a computable function that might predict the universe and a probability that I assign to whether it accurately does so, and in all of those computable functions my semantic representation of 'probability' is encoded as log odds with finite precision, then your question translates into a function which traverses all of my possible worlds, looks to see if one of those probabilities that refers to your self-assigned probability is encoded as the number 'INFINITY', multiplies that by the probability that I assigned that world being the correct one, and then tabulates.

Since "encoded as log odds with finite precision" and "encoded as the number 'INFINITY'" are not simultaneously possible given certain encoding schemes, this really resolves itself to "do I encode floating-point numbers using a mantissa notation or other scheme that allows for values like +INF/-INF/+NaN/-NaN?"

Which sounds NOTHING like the question you asked, but it the answers do happen to perfectly correlate (to within the precision allowed by the language we're using to communicate right now).

Did that make sense?