skills/danielmiessler/claude-code-plugins-plus/adapting-transfer-learning-models/Gen Agent Trust Hub
adapting-transfer-learning-models
Pass
Audited by Gen Agent Trust Hub on Oct 22, 2026
Risk Level: SAFEINDIRECT_PROMPT_INJECTIONREMOTE_CODE_EXECUTION
Full Analysis
- [INDIRECT_PROMPT_INJECTION]: The skill processes user requirements and external datasets to generate code, which presents a surface for indirect instructions.
- Ingestion points: External datasets and user requests described in SKILL.md.
- Boundary markers: Not specified in the provided documentation.
- Capability inventory: The skill generates Python code, downloads pre-trained models, and saves training artifacts to the file system.
- Sanitization: Data validation focuses on format compatibility rather than instruction filtering.
- [REMOTE_CODE_EXECUTION]: The skill documentation mentions downloading pre-trained models (e.g., BERT, ResNet50) and generating adaptation code. These are standard machine learning workflows and no malicious execution patterns were observed in the descriptions provided. Note: The source code for scripts referenced in scripts/README.md was not provided for analysis.
Audit Metadata