Missing User Warnings
Low
- Confidence
- 75% confidence
- Finding
- Omitting an upfront warning about first-run model downloads and local filesystem writes can surprise users in restricted or privacy-sensitive environments. While common for ML tools, undisclosed network retrieval and cache creation may violate user expectations, policy controls, or operational assumptions about fully local execution.
