The joint density function of X,Y and Z is $$f(x,y,z) = \begin{cases}6(z-y)& \text{for } 0<x<1, \; 0<y<z<1,\\ 0 &\text{otherwise} \end{cases}$$
So finding the probability $P(X + Y + Z \le 1)$ gives us $$P(X + Y + Z \le 1) = \int_0^1 \int_0^{1-x} \int_0^{1-x-y} 6(z-y) \ \mathrm dz \ \mathrm dy \ \mathrm dx$$
For a conditional density $P(X \le Z | X + Y + Z \le 1)$ this is equal to $$\frac{P(X \le Z , X + Y + Z \le 1)}{P(X + Y + Z \le 1)}$$
I am unsure what bounds of integration to use for the top part of this.
Since $y < z$, your denominator could be $$P(X + Y + Z \le 1) = \int_{x=0}^1 \int_{z=0}^{1-x} \int_{y=0}^{\min(z,1-x-z)} 6(z-y) \ \mathrm dy \ \mathrm dz \ \mathrm dx $$ or $$P(X + Y + Z \le 1) = \int_{z=0}^{1} \int_{y=0}^{\min(z,1-z)} \int_{x=0}^{1-y-z} 6(z-y) \ \mathrm dx \ \mathrm dy \ \mathrm dz $$
Your numerator could then be $$P(X\le Z, X + Y + Z \le 1) = \int_{z=0}^{1} \int_{y=0}^{\min(z,1-z)} \int_{x=0}^{\min(z,1-y-z)} 6(z-y) \ \mathrm dx \ \mathrm dy \ \mathrm dz $$