gws-modelarmor-sanitize-prompt
Sanitize user prompts through Google Model Armor safety templates.
Works with
What it does
Requires a Model Armor template resource name and accepts text input via flag, stdin, or full JSON request body
Designed for inbound prompt safety; use the companion +sanitize-response command for outbound response filtering
Integrates with Google Cloud authentication and global flags defined in gws-shared
Installation Guide
How to use gws-modelarmor-sanitize-prompt on Cursor
AI-first code editor with Composer
Prerequisites
Before installing skills in Cursor, ensure your development environment meets these requirements:
- βΊCursor installed and configured on your machine
- βΊNode.js 16+ with npm β verify with
node --version - βΊActive project directory where you want to add
gws-modelarmor-sanitize-prompt
Run the install command
Execute the skills CLI command in your project's root directory to begin installation:
Fetches gws-modelarmor-sanitize-prompt from googleworkspace/cli and configures it for Cursor.
Select Cursor when prompted
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate gws-modelarmor-sanitize-prompt. Access via /gws-modelarmor-sanitize-prompt in your agent's command palette.
Security Notice
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
Documentation
modelarmor +sanitize-prompt
PREREQUISITE: Read
../gws-shared/SKILL.mdfor auth, global flags, and security rules. If missing, rungws generate-skillsto create it.
Sanitize a user prompt through a Model Armor template
Usage
gws modelarmor +sanitize-prompt --template <NAME>
Flags
| Flag | Required | Default | Description |
|---|---|---|---|
--template |
β | β | Full template resource name (projects/PROJECT/locations/LOCATION/templates/TEMPLATE) |
--text |
β | β | Text content to sanitize |
--json |
β | β | Full JSON request body (overrides --text) |
Examples
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 β Global flags and auth
- gws-modelarmor β All filter user-generated content for safety commands
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Use Cases
User Story & Requirements Generation
Create detailed user stories, acceptance criteria, and feature specs
Example
Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
Reduce spec writing time by 50%, ensure comprehensive coverage
Competitive Analysis
Research competitors, compare features, identify gaps
Example
Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
Complete competitive research in 2 hours instead of 2 days
Roadmap Prioritization
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale