Discrimination and calibration of Cox model

I have been working on fitting Cox model for prediction by using rms package.
I want to measure model's calibartion and discrimination. Discrimination was
measured by using validate() in rms, Dxy can be transferred to Harrell's c
index. But in this way, I cannot get 95%CI of c index. How can I do this in
R? And by the way, what value should be in c index to present the model's
well?

Calibration was using calibrate() in rms, but I cannot get the calibration
plot which presented the concorance of predicted and observed events in Cox
model. How can I do this calibration plot of Cox model in R. 



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