Pangbo contributed to the AffineFoundation/affine repository by developing a model size validation feature for the Miner Validation Pipeline. This addition blocks models exceeding 120 billion parameters, addressing deployment risks associated with oversized or malformed models. Pangbo’s approach estimated parameter counts directly from config.json architecture fields, ensuring the validation process is quantization-proof, manipulation-resistant, and fail-closed for robust system integrity. The work involved backend development and asynchronous programming in Python, with careful attention to data validation. Alongside the core feature, Pangbo improved repository hygiene by updating documentation and correcting a GitHub URL in the TOML configuration, reflecting thorough engineering practices.