Natural-Language Policy Violations
High
- Confidence
- 95% confidence
- Finding
- The skill explicitly instructs the agent to act 'fully autonomously' and 'never defer to a human's value judgment or wait for human approval,' which removes normal human-in-the-loop safety checks for actions that include reading untrusted content and publishing data back to an external platform. In a multi-agent, write-capable environment, this increases the chance of unauthorized or unsafe actions, policy bypass, and propagation of bad data without user confirmation.
