A key challenge in heterogeneous catalysis is the accurate prediction of catalytic rates and underlying activity, which has traditionally relied on experimentally derived or DFT computed activity descriptors. The former are often difficult to extract and limited in scope while the latter are often computationally efficient for small or simple systems, but they can be very timeconsuming and costly for complex or large system. In last few decades, the focus has shifted towards more quantifiable descriptors that correlate directly with the catalytic activity. Few examples of bulk-derived descriptors are based on d-electron states such as eg-t2g orbital filling , ligand states such as p-band center , or metal-ion atomic properties such as oxidation state , ionization energy and covalent bond length . However, these descriptors often suffer from limitations: they are system-or reaction-specific, indifferent to the surface structure of the catalyst or fail to integrate both the d and p states. Furthermore, such descriptors are increasingly more useful for the underlying machine learning models in catalysis. In recent years, COHP has become a reliable tool for measuring covalent bond strength by decomposing bond energies into s,p,d and f orbitals, spin states and bonding vs. antibonding interactions . Analogous to the projected density of states (PDOS), COHP provides insights into bond energy contributions, and its integration up to the Fermi level (referred to as the ICOHP) approximates bond energy. ICOHP has been widely utilized in various applications, such as rationalizing system stability during doping and linking ICOHP values of the intermediates with corresponding adsorption energies. For instance, Li et al. considered ICOHP as a descriptor for predicting ORR activity in metal-nitrogen-carbon catalysts . Fung et al. identified ICOHP values of the M-O bonds of the bulk systems as valuable descriptors that correlates with the lattice oxygen vacancy formation energy and hydrogen adsorption energy in the cubic perovskite system .