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Gws Modelarmor Create Template

Checked
googleworkspace·vlatest·ai-ml·Apache-2.0

Creates secure model armor templates within Google Workspace to protect sensitive data used in generative AI applications.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add googleworkspace/cli --skill gws-modelarmor-create-template -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

googleworkspace

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned googleworkspace/cli at a3768d0e82.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
a3768d0e82
Manifest
skills/gws-modelarmor-create-template/SKILL.md
Scanned
1 file, 51 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

This skill enables AI agents to create Model Armor templates within Google Workspace, specifically for protecting sensitive data used in generative AI applications. It allows users to define and deploy security configurations that act as filters for user prompts and responses. The skill creates these templates using the Google Cloud Platform (GCP), requiring a project ID and location.

When to use it

  • When you need to establish standardized security protocols for generative AI applications within your organization.
  • To create reusable templates for filtering potentially harmful or sensitive information in user prompts and responses.
  • When deploying new generative AI applications that require pre-defined data protection measures.
  • To quickly set up a baseline level of safety using the "jailbreak" preset template.

Key capabilities

  • Creates Model Armor templates within GCP projects.
  • Supports specifying project ID, location, and template ID as required parameters.
  • Allows for the use of pre-defined presets like "jailbreak."
  • Enables custom configuration through a JSON body (overriding presets).

Example prompts

  • "Create a Model Armor template named 'my-tmpl' in project 'P' located in 'us-central1' using the jailbreak preset."
  • "Generate a new Model Armor template with ID 'my-tmpl' in project 'P', region 'us-central1', and configure it using this JSON: '{...}'"

Tips & gotchas

  • This is a "write" command, so always confirm the action with the user before execution.
  • If you don’t specify --preset or --json, the skill defaults to the "jailbreak" preset.
  • After creation, use the resulting template name with other Model Armor commands like +sanitize-prompt and +sanitize-response.