Missing User Warnings
Medium
- Confidence
- 87% confidence
- Finding
- The README explicitly states that Active Memory injects relevant memories into the model context before every turn, but it does not clearly warn users about the privacy and data-minimization implications of doing so. In a memory-management skill, this omission matters because prior sensitive content may be surfaced to later prompts or downstream model operations without the user appreciating the scope of exposure.
