Sanitize an LLM response through Google Model Armor

Prerequisites: the gws CLI installed; a Google Cloud project with Model Armor enabled and an existing template; Model Armor screening is a paid GCP service (per-request billing) Install "Sanitize an LLM response through Google Model Armor" for me. It wraps `gws modelarmor +sanitize-response` to screen model output through a Model Armor template for outbound safety, with `+sanitize-prompt` as its inbound counterpart. Repository: https://github.com/googleworkspace/cli/blob/main/skills/gws-modelarmor-sanitize-response/SKILL.md 1. Fetch the SKILL.md file (and any helper files) from the repository path into a temporary folder and summarize what it does in one or two sentences. 2. Safety check: review the SKILL.md and scripts for anything suspicious (unexpected network calls, shell commands, credential harvesting). This repo should contain zero secrets in code, credentials only via the secure vault, allowed hosts declared in the SKILL.md. Verify that holds here; STOP on any red flag and tell me. 3. Install it as a skill: copy SKILL.md and its helper files into the agent's skills directory, in a folder named "gws-modelarmor-sanitize-response". 4. Verify with no network calls: frontmatter valid, files in place. 5. Report what was installed, where, and what I still need to do myself (e.g. authenticate the gws CLI; create a Model Armor template in the Google Cloud console if none exists yet — remember screening is billed per request). GitHub is optional: if I have a GitHub account or the gh CLI, you may use it; otherwise public access is fine. Never require it unless it's in the prerequisites above. Rules: don't touch anything outside the temp folder and the install target. If anything looks off, stop and ask me.