Natural-Language Policy Violations
Medium
- Confidence
- 96% confidence
- Finding
- The skill metadata and content are written primarily in Chinese and strongly frame activation and usage in that language, without any indication that the assistant should adapt to the user's language preference. In a multi-skill system, this can cause unwanted language switching, reduce user comprehension, and create safety/compliance failures if critical financial risk guidance is delivered in a language the user did not request or fully understand.
