rwkv-architecture
Pass
Audited by Gen Agent Trust Hub on Sep 16, 2026
Risk Level: SAFEEXTERNAL_DOWNLOADSDYNAMIC_EXECUTION
Full Analysis
- [SAFE]: The skill serves as a purely educational and instructional resource for the RWKV architecture, containing no malicious directives or behavioral anomalies.
- [EXTERNAL_DOWNLOADS]: The documentation provides installation instructions using the standard pip package manager. It references the official PyTorch distribution server and standard public repositories (Hugging Face, GitHub) for model weights and source code, all of which are recognized as well-known and trusted services.
- [DYNAMIC_EXECUTION]: The code examples demonstrate the use of
torch.load()to restore model checkpoints and conversation states. This is a standard and necessary practice in machine learning workflows for loading pre-trained weights and maintaining recurrent states.
Audit Metadata