rwkv-architecture
Pass
Audited by Gen Agent Trust Hub on Oct 8, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill is primarily educational and technical documentation. It provides boilerplate code for interacting with the RWKV architecture using standard libraries like PyTorch and RWKV.
- [SAFE]: External links provided in the documentation point to well-known and trusted platforms including GitHub, Hugging Face, arXiv for research papers, and the Linux Foundation AI project site. No suspicious or obfuscated URLs were detected.
- [SAFE]: Dependencies listed (such as torch, transformers, and rwkv) are standard, well-maintained packages in the AI research community. Installation instructions follow standard Python package management practices.
- [SAFE]: No evidence of prompt injection, data exfiltration, or persistence mechanisms was found. Code snippets demonstrating JIT compilation or CUDA kernel activation are standard optimizations for large language models and do not represent malicious dynamic execution.
Audit Metadata