神经稀疏异步处理架构 (NSAP)

This package is internally consistent and appears to be a local simulation/utility suite rather than a connector to external services. Before running: 1) Inspect the scripts (they are short, readable Python files) if you have concerns; 2) Run them in a restricted/sandbox environment if you want to avoid any filesystem writes (resource_monitor writes resource_usage.json and verify_package enumerates the skill directory); 3) Note that performance/efficiency claims in docs are unverified—these scripts simulate activation patterns rather than performing model-level sparse activation; and 4) If you plan to integrate with real models or production systems, review and adapt the code (and test in staging) because these utilities are demonstrative, not a drop-in model-optimization library.