cs-chatbot-design
Pass
Audited by Gen Agent Trust Hub on Sep 18, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill provides instructional content and design patterns for building conversational agents. The technical references include standard mathematical formulas (e.g., Cohen's Kappa) and best practices for dataset management.
- [DYNAMIC_EXECUTION]: The skill contains Python code snippets demonstrating how to calculate NLU metrics, generate confusion matrices, and perform model calibration using
scikit-learn,scipy, andmatplotlib. These are provided as educational examples for the user and do not involve runtime execution of untrusted or generated code. - [EXTERNAL_DOWNLOADS]: Mentions standard machine learning libraries and models (e.g.,
sentence-transformersfor embeddings). These are well-known packages used for the skill's stated purpose of NLU design.
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