先看看示例
作者提供的示例,实际效果取决于你的输入和使用工具。
输入
在调用模型前,用指定模板净化用户输入:gws modelarmor +sanitize-prompt --template projects/P/locations/L/templates/T --text '用户输入'。
输出
预期交付:经模板过滤后的提示词净化结果,用于后续模型调用的入站安全检查。(编辑说明,非实际运行结果)
方法说明
---
name: gws-modelarmor-sanitize-prompt
description: "Google Model Armor: Sanitize a user prompt through a Model Armor template."
metadata:
version: 0.22.5
openclaw:
category: "security"
requires:
bins:
- gws
cliHelp: "gws modelarmor +sanitize-prompt --help"
---
# 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