[ML] Adjust the behavior of `skip_result` custom rules

Currently, if we define `skip_result` it avoids updating distribution quantiles. This can change the impact on the anomaly score, although the anomaly probability remains the same.

Ideally, we need to change the behavior such that for `skip_result`, the algorithm behaves "normally", except it avoids writing records and changing aggregates.

\cc @tveasey