---
id: ssh2-gws-modelarmor-sanitize-prompt
name: "gws-modelarmor-sanitize-prompt"
url: https://skills.yangsir.net/skill/ssh2-gws-modelarmor-sanitize-prompt
author: googleworkspace
domain: data-ai
tags: ["Prompt Engineering", "AI Safety", "Data Sanitization", "Google Workspace", "LLM Security"]
install_count: 3400
rating: 4.40 (136 reviews)
github: https://github.com/googleworkspace/cli
---

# gws-modelarmor-sanitize-prompt

> 通过Google Model Armor对用户提示进行安全净化，确保输入内容符合规范，保护模型安全。

**Stats**: 3,400 installs · 4.4/5 (136 reviews)

## Before / After 对比

### GWS Model Armor：清理用户提示

## Readme

# modelarmor +sanitize-prompt

> **PREREQUISITE:** Read `../gws-shared/SKILL.md` for auth, global flags, and security rules. If missing, run `gws generate-skills` to create it.

Sanitize a user prompt through a Model Armor template

## Usage

```bash
gws modelarmor +sanitize-prompt --template <NAME>
```

## Flags

| Flag | Required | Default | Description |
|------|----------|---------|-------------|
| `--template` | ✓ | — | Full template resource name (projects/PROJECT/locations/LOCATION/templates/TEMPLATE) |
| `--text` | — | — | Text content to sanitize |
| `--json` | — | — | Full JSON request body (overrides --text) |

## Examples

```bash
gws modelarmor +sanitize-prompt --template projects/P/locations/L/templates/T --text 'user input'
echo 'prompt' | gws modelarmor +sanitize-prompt --template ...
```

## Tips

- If neither --text nor --json is given, reads from stdin.
- For outbound safety, use +sanitize-response instead.

## See Also

- [gws-shared](../gws-shared/SKILL.md) — Global flags and auth
- [gws-modelarmor](../gws-modelarmor/SKILL.md) — All filter user-generated content for safety commands


---
*Source: https://skills.yangsir.net/skill/ssh2-gws-modelarmor-sanitize-prompt*
*Markdown mirror: https://skills.yangsir.net/api/skill/ssh2-gws-modelarmor-sanitize-prompt/markdown*