Filter user-generated content and model responses with Google's Model Armor templates.
npx skills add https://github.com/m13v/fazm --skill gws-modelarmor
Please help me install this Agent Skill. Skill: gws-modelarmor Source: https://github.com/m13v/fazm/tree/main/skills/gws-modelarmor Command: npx skills add https://github.com/m13v/fazm --skill gws-modelarmor
This Skill helps ensure user-generated content and AI responses are safe and adhere to specific guidelines by using Google's Model Armor.
Use the gws modelarmor skill to sanitize a user prompt using the default template.
High-intent search queries and answers about installing and using this skill.
You filter user-generated content for safety and policy compliance by passing it through predefined Model Armor templates to detect and mitigate inappropriate text before public display.
Prompt sanitization prevents prompt injection by filtering user inputs through Google's Model Armor templates, removing malicious instructions and validating content before the model processes the request.
Yes, you need the gws CLI tool installed and pre-configured Model Armor templates set up to perform content moderation, prompt sanitization, and response validation.
Yes, you can create and manage custom Model Armor templates to establish tailored safety policies for content moderation and response validation within your specific application context.
The best way to validate AI model responses is by filtering them through Model Armor templates to ensure outputs adhere to safety guidelines and policy compliance before end-user delivery.
You should use response filtering for content moderation in applications requiring strict safety policies, such as public forums displaying user comments, to prevent offensive language or personal information exposure.
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