gws-modelarmor

The gws-modelarmor skill, also known as Google Model Armor, provides a structured mechanism to filter and sanitize user-generated content for safety. It is designed to help developers and organizations ensure that inputs and outputs processed by AI models comply with safety guidelines, reducing the risk of inappropriate or unsafe content. By leveraging predefined templates, this skill allows for consistent application of content moderation rules, making it easier to manage user interactions in applications that involve natural language processing.

Key features of gws-modelarmor include helper commands for sanitizing both prompts and responses, as well as the ability to create new templates tailored to specific content moderation needs. Users can explore available resources and methods using the CLI, inspect parameters, and configure their calls using flags like --params and --json. The skill integrates with the gws ecosystem and requires prior setup of authentication and global flags as described in shared skill documentation. This ensures that only authorized and properly configured environments can utilize the filtering capabilities.

Typical use cases for gws-modelarmor involve applications that accept user input or generate AI-driven responses where safety and compliance are critical. Target users include AI developers, product managers, and teams responsible for content moderation in chatbots, virtual assistants, or any service where user-generated content needs to be filtered. By implementing gws-modelarmor, teams can maintain a higher standard of safety and consistency in content handling while reducing manual moderation effort.