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Gws Modelarmor Sanitize Response

Checked
googleworkspace·vlatest·security·Apache-2.0

This skill sanitizes AI-generated responses from Google Workspace apps to mitigate potential Model Armor risks and ensure safer content delivery.

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-sanitize-response -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-sanitize-response/SKILL.md
Scanned
1 file, 46 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 sanitizes AI agent responses generated by Google Workspace models to ensure they comply with safety guidelines and organizational policies. It acts as a critical filter layer, removing potentially harmful or non-compliant content before the final output reaches the user.

When to use it

  • Deploying internal AI agents that generate sensitive corporate reports or communications.
  • Integrating Google Workspace models into customer-facing chatbots where brand safety is paramount.
  • Automating content creation workflows to prevent accidental leaks of proprietary information.
  • Enforcing strict data privacy standards across all model-generated outputs within the organization.

Key capabilities

  • Real-time sanitization of generated text responses.
  • Enforcement of Google Workspace-specific safety protocols.
  • Prevention of policy-violating content from being displayed to end-users.
  • Seamless integration within the googleworkspace/cli ecosystem.

Example prompts

  • "Configure the agent to sanitize all responses before sending them to HR staff."
  • "Apply strict model armor sanitization rules to this customer support chatbot."
  • "Ensure that any output from the Google Workspace model passes through the response sanitizer."

Tips & gotchas

This skill is specifically designed for use with Google Workspace models; applying it to other LLMs may yield unexpected results. Always test the sanitization logic against your specific compliance requirements before deploying in a production environment, as strict filtering might occasionally block benign but sensitive queries.