Gws Modelarmor
CheckedGws Modelarmor protects Google Workspace data by automatically detecting and blocking risky user actions, enhancing security and compliance.
Install on your platform
Showing Claude Code. One command installs this skill into any of the agents below.
- 1
Run this in your project
terminal$ npx skills add googleworkspace/cli --skill gws-modelarmor -a claude-code Uses the open-source
skillsCLI and needs Node.js. Add-gto 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.
Automated safety checks
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/SKILL.md
- Scanned
- 1 file, 40 lines
About this skill
What it does
Gws Modelarmor enhances security and compliance within Google Workspace by automatically detecting and blocking risky user actions. It provides commands to sanitize both user prompts and model responses using predefined templates. The skill allows users to create new Model Armor templates for customized protection, ensuring data safety when interacting with AI models.
When to use it
- When you need to ensure user prompts sent to an AI model are safe and compliant.
- To sanitize the responses generated by a model before they are presented to a user.
- When creating custom security rules or templates for protecting Google Workspace data.
- For initial setup of Model Armor configurations within your environment.
Key capabilities
sanitize-prompt: Sanitizes user prompts using a Model Armor template.sanitize-response: Sanitizes model responses using a Model Armor template.create-template: Creates new Model Armor templates.- Provides schema discovery to understand API method parameters and types.
Example prompts
- "gws modelarmor users.list --params='{"query": "[email protected]"}'" (This is an example of how to use the skill, not a direct prompt for ModelArmor itself)
- "gws modelarmor +sanitize-prompt 'User input here'"
- "gws modelarmor +create-template --name 'My New Template' --description 'A custom template.'"
Tips & gotchas
- Prerequisite: You must have a
SKILL.mdfile for authentication, global flags, and security rules. Usegws generate-skillsto create this if it’s missing. - The skill uses command-line arguments with
--paramsand--jsonflags which need to be built using the schema output (gws schema modelarmor.<resource>.<method>). - Before using any API method, use
gws modelarmor --helpto browse resources and methods.