The Agent Skills Directory

Documentation Integrity (SAFE): The content is purely educational, focusing on State-Space Models (SSM) and the Mamba architecture. The code snippets follow standard PyTorch and Transformers patterns for model initialization and text generation.\n- Dependency Verification (SAFE): Listed dependencies such as mamba-ssm, causal-conv1d, torch, and transformers are well-known, legitimate packages in the machine learning research community. The installation instructions point to standard PyPI/PyTorch registries.\n- No Remote Execution Risks (SAFE): While the skill mentions loading models from HuggingFace, this is a standard and expected operation for using pretrained weights in the transformers ecosystem. No piped shell commands or suspicious remote script executions were identified.\n- Data Privacy (SAFE): No patterns of hardcoded credentials, sensitive file path access, or unauthorized network operations were found across the analyzed files.

mamba-architecture