federated-learning-dqn
Pass
Audited by Gen Agent Trust Hub on Mar 15, 2026
Risk Level: SAFENO_CODE
Full Analysis
- [SAFE]: A comprehensive analysis of the provided documentation and code examples shows no signs of malicious intent, prompt injection, or unauthorized data access. The content focuses on privacy-preserving machine learning techniques.- [NO_CODE]: The skill consists entirely of documentation and illustrative code snippets within markdown files. It does not include any standalone scripts, binaries, or automation logic that would be executed by the agent.- [EXTERNAL_DOWNLOADS]: All external references point to arxiv.org, a trusted and well-known academic repository for scientific research. These links are for informational purposes only and do not facilitate the download of untrusted code.
Audit Metadata