Missing User Warnings
Medium
- Confidence
- 94% confidence
- Finding
- The skill explicitly performs destructive data-cleaning actions such as deleting samples or variables, recoding values, and converting types, but it does not warn users up front that uploaded data may be modified or reduced. In a data-processing skill, this omission can cause users to approve or rely on transformations without understanding that original information may be lost, leading to integrity and reproducibility problems.
