tensorflow-deep-learning
Pass
Audited by Gen Agent Trust Hub on Sep 5, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill provides educational content and code snippets for deep learning workflows. It uses standard libraries (TensorFlow) and follows secure coding practices such as separating configuration from code and managing artifacts outside of source control.\n- [INDIRECT_PROMPT_INJECTION]: The skill includes instructions for ingesting external data via tf.data.TFRecordDataset and tf.io.parse_single_example. 1. Ingestion points: Data loading via file patterns in build_dataset within SKILL.md. 2. Boundary markers: No explicit delimiters for record content. 3. Capability inventory: File-write operations for checkpoints and model exports. 4. Sanitization: Basic schema validation (shapes and dtypes) is performed during parsing. While this constitutes a data ingestion surface, the risk is inherent to the domain and no unsafe capabilities like command execution are triggered by the data.
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