gws-modelarmor-sanitize-prompt

Sanitize user prompts via a Model Armor template using CLI inputs.

Updated Apr 6, 2026
One-click install
npx skills add https://github.com/cellarwood/figurio --skill gws-modelarmor-sanitize-prompt-cellarwood
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: gws-modelarmor-sanitize-prompt
Source: https://github.com/cellarwood/figurio/tree/main/skills/gws-modelarmor-sanitize-prompt
Command: npx skills add https://github.com/cellarwood/figurio --skill gws-modelarmor-sanitize-prompt-cellarwood

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Sanitize a user prompt through a Model Armor template.

Core Features & Use Cases

  • Template-based sanitization: Applies a predefined security template to incoming prompts.
  • Safety enforcement: Blocks or rewrites unsafe user content before processing.
  • Use Case: When integrating AI assistants in customer-facing apps, sanitize prompts to prevent leakage of sensitive data and ensure compliant responses.

Quick Start

Pass your prompt to the sanitizer using --template and --text to receive a validated, sanitized prompt.

Frequently Asked Questions about gws-modelarmor-sanitize-prompt

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I sanitize user prompts before sending them to an AI model?

To sanitize user prompts, you can pass the text through a predefined security template using a CLI command with --template and --text inputs. This processes incoming prompts to block or rewrite unsafe content before downstream AI processing.

What does prompt sanitization do for AI safety and content moderation?

Prompt sanitization enforces safety rules by applying a predefined template to incoming user inputs. It blocks or rewrites unsafe content, preventing the leakage of sensitive data and ensuring AI responses remain compliant.

How do I prevent sensitive data leakage in customer-facing AI applications?

To prevent sensitive data leakage in customer-facing AI applications, you should sanitize prompts using a Model Armor template before processing. This enforces safety rules and handles confidential information appropriately.

Can I use a template to enforce safety rules across user inputs?

Yes, you can use a Model Armor template to enforce safety rules across user inputs. Template-based sanitization applies predefined security configurations to incoming prompts, validating and sanitizing the text before it reaches downstream processing.

Does prompt sanitization work with CLI commands for automated workflows?

Yes, prompt sanitization supports CLI commands for automated workflows. You can execute the sanitizer by passing your prompt text and security template via command-line arguments, returning a validated, sanitized prompt for immediate downstream use.