Google CloudKnown publisherGoogleCloudPlatform/devrel-demos/ai-ml/dev-signal/.agent/skills/gcp-agent-model-armor-shield/SKILL.mdgcp-agent-model-armor-shield
Skill397 starsChanged 13 days agoApache-2.0View on GitHub
Configures Model Armor security policies (Prompt Injection, Jailbreak, RAI filters).
In this repository79 other files it gives its agents.
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The file
Files
gcp-agent-model-armor-shield
This skill configures Model Armor as an intelligent firewall for your AI agents. Grounded in security_blog.md, it protects against prompt injection, jailbreaking, malicious URLs, and links to SDP templates for data privacy.
Usage
Ask Antigravity to:
- "Configure Model Armor for my agent"
- "Add prompt injection protection to my security policy"
- "Set up RAI filters for hate speech and harassment"
- "Link my SDP templates to Model Armor via Terraform"
Protection Layers
- Detection Filters: Prompt Injection, Jailbreak, and Malicious URI detection.
- RAI Settings: Configurable confidence levels for Hate Speech, Harassment, Sexually Explicit, and Dangerous Content.
- SDP Integration: Hooks for Advanced Sensitive Data Protection (linking to Inspect/De-identify templates).
Terraform Boilerplate
Refer to resources/model_armor.tf for the standard configuration.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
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People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
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Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.