federated-learning-dqn
Pass
Audited by Gen Agent Trust Hub on Nov 5, 2026
Risk Level: SAFENO_CODE
Full Analysis
- [NO_CODE]: The skill consists entirely of markdown documentation and illustrative Python code blocks for educational purposes. There are no executable scripts (.sh, .py, .js) or configurations that trigger agent actions or external operations.
- [SAFE]: All code snippets are standard implementations of machine learning algorithms (DQN, FedAvg, Differential Privacy) and healthcare scheduling logic (MLFQ). References to external papers (e.g., arXiv) are standard academic citations. No malicious patterns such as prompt injection, data exfiltration, or obfuscation were detected.
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