The recent technological and algorithmical advancement allowed us to generate high-quality genome assemblies, with the estimated error rates of only 1 in 1 million basepairs, or lower. As a consequence, many traditional methods for the quality control of newly generated assemblies are no longer useful. For example, k-mer based quality estimates cannot differentiate well between high-quality and ultra high-quality genome assemblies. Therefore, new computational pipelines or tools that utilize different quality metrics are needed. The objective of this thesis is to implement a computational tool for the quantitative assessment of genome assembly quality using novel evaluation metrics. The proposed solution will address some of the limitations of traditional quality control approaches. The developed tool will support multiple complementary metrics for assessing assembly completeness and accuracy, including: 1) soft-clipped basepairs - indicating potential misassemblies or alignment inconsistencies, 2) mapping quality (MAPQ) - reflecting the overall confidence of read alignments across the genome, and an experimental module for calculating the 3) Hamming errors and switch errors - providing measures of haplotype phasing correctness. This module will be applicable only to Hifiasm assemblies with available .paf alignment files and parental data, and will serve to help scientists benchmark various assembly recipes. Finally, the tool will be implemented as a command-line application and the emphasis will be placed on usability and reproducibility, ensuring accessibility for biologists and genomic researchers.