I don't think there is but the JASP results for SEM are identical to the AMOS so I think it is acceptable, it has correlation for convergent and divergent validity, for these analyses more accurate is to keep the loads greater than .70 to obtain a higher AVE .50, if your variables are conceptually similar or same constructs with different tests is also recommended the HTMT method.
As far as I know, JASP is "just" a simple user interface that uses R:lavaan for SEM in the background: https://jasp-stats.org/2018/07/03/how-to-perform-structural-equation-modeling-in-jasp/
Jamovi also seems to use R in the background, at least there is an R integration: https://cran.r-project.org/web/packages/jmv/index.html. The SEM features seem to be limited, at least that's what it looks like in the documentation.
With R (lavaan) you can find publications without any problems and the question arises whether it is more sensible to use the "real thing", even if it requires some training.