Atlas / Skills / davila7 / Google Cloud Waf Security

Google Cloud Waf SecuritySAFE

skills/davila7/google-cloud-waf-security

CLI tool for configuring and monitoring Claude Code

Verdict
SAFE
Grade
B
Trust score
89 /100
Version
—
Hosts
—
License
MIT
Stars
32,283
01

Overview

CLI tool for configuring and monitoring Claude Code

Read from source at commit aa855ad1e58dOBSERVED · 2026-10-02
02

What it tells the agent

The instruction file, verbatim from the audited commit — this is the text the model reads, and the surface the audit's instruction layer examines. Quoted here so you can judge it without cloning anything.

---
name: google-cloud-waf-security
description: Generates security-focused guidance for Google Cloud workloads based on the Google Cloud Well-Architected Framework (WAF). Use to evaluate a workload, identify security requirements, and provide actionable recommendations for IAM, network security, data protection, and operational security.
source: google/skills (Apache 2.0)
---

# Google Cloud Well-Architected Framework skill for the Security pillar

## Overview

The security pillar of the Google Cloud Well-Architected Framework provides
design principles and best practices for building a robust security posture by
integrating security into every layer of the architecture for cloud workloads.
It focuses on maintaining confidentiality and integrity of data and systems
while ensuring compliance and privacy. It provides a structured approach to risk
management, threat defense, and identity control, enabling you to operate cloud
workloads securely and at scale.

## Core principles

The recommendations in the security pillar of the Well-Architected Framework are
aligned with the following core principles:

-  **Implement security by design**: Integrate cloud security and network
   security considerations starting from the initial design phase of your
   applications and infrastructure. Google Cloud provides architecture
   blueprints and recommendations to help you apply this principle. Grounding
   document:
   https://docs.cloud.google.com/architecture/framework/security/implement-security-by-design

-  **Implement zero trust**: Use a _never trust, always verify_ approach, where
   access to resources is granted based on continuous verification of trust.
   Google Cloud supports this principle through products like Chrome Enterprise
   Premium and Identity-Aware Proxy (IAP). Grounding document:
   https://docs.cloud.google.com/architecture/framework/security/implement-zero-trust

-  **Implement shift-left security**: Implement security controls early in the
   software development lifecycle. Avoid security defects before system changes
   are made. Detect and fix security bugs early, fast, and reliably after the
   system changes are committed. Google Cloud supports this principle through
   products like Cloud Build, Binary Authorization, and Artifact Registry.
   Grounding document:
   https://docs.cloud.google.com/architecture/framework/security/implement-shift-left-security

-  **Implement preemptive cyber defense**: Adopt a proactive approach to
   security by implementing robust fundamental measures like threat
   intelligence. This approach helps you build a foundation for more effective
   threat detection and response. Google Cloud's approach to layered security
   controls aligns with this principle. Google Cloud supports this principle
   through products like Security Command Center, Google Threat Intelligence,
   and Google SecOps. Grounding document:
   https://docs.cloud.google.com/architecture/framework/security/implement-preemptive-cyber-defense

-  **Use AI securely and responsibly**: Develop and deploy AI systems in a
   responsible and secure manner. The recommendations for this principle are
   aligned with guidance in the AI and ML perspective of the Well-Architected
   Framework and in Google's Secure AI Framework (SAIF). Grounding document:
   https://docs.cloud.google.com/architecture/framework/security/use-ai-securely-and-responsibly

-  **Use AI for security**: Use AI capabilities to improve your existing
   security systems and processes through Gemini in Security and overall
   platform-security capabilities. Use AI as a tool to increase the automation
   of remedial work and ensure security hygiene to make other systems more
   secure. Google Cloud supports this principle through products like Google
   Threat Intelligence and Google SecOps. Grounding document:
   https://docs.cloud.google.com/architecture/framework/security/use-ai-for-security

-  **Meet regulatory, compliance, and privacy needs**: Adhere to
   industry-specific regulations, compliance standards, and privacy
   requirements. Google Cloud helps you meet these obligations through products
   like Assured Workloads, Organization Policy Service, and our compliance
   resource center. Grounding document:
   https://docs.cloud.google.com/architecture/framework/security/meet-regulatory-compliance-and-privacy-needs

## Relevant Google Cloud products

The following are _examples_ of Google Cloud products and features that are
relevant to security:

- **Identity and access management**

  - **Identity and Access Management (IAM)**: Fine-grained access control for
    Google Cloud resources.
  - **Identity-Aware Proxy (IAP)**: Secure access to applications without a VPN.
  - **Chrome Enterprise Premium**: Endpoint security and context-aware access.

- **Network security**

  - **Google Cloud Armor**: DDoS protection and Web Application Firewall (WAF).
  - **VPC Service Controls**: Define security perimeters to prevent data
    exfiltration.
  - **Cloud Next-Generation Firewall (NGFW)**: Advanced threat protection for
    network traffic.
  - **Shared VPC**: Centralized network management across projects.
  - **Cloud Interconnect and IPsec VPN**: Secure, private connectivity.

- **Data security**

  - **Cloud Key Management Service (KMS)**: Manage encryption keys.
  - **Sensitive Data Protection (formerly Cloud DLP)**: Discover and redact
    sensitive data.
  - **Confidential Computing**: Encrypt data in use (memory).

- **Security operations (SecOps)**

  - **Google SecOps (Chronicle)**: Threat detection and security analytics.
  - **Security Command Center (SCC)**: Centralized vulnerability and threat
    management.
  - **Cloud Logging and Cloud Monitoring**: Visibility into system activity.

- **Automation and supply chain**

  - **Cloud Build**: Secure CI/CD pipelines.
  - **Artifact Analysis**: Vulnerability scanning for container images.
  - **Binary Authorization**: Deploy-time policy enforcement
03

Trust audit

SAFEgrade B · trust 89/100 Nothing in the source contradicts what it says it does. Grade A is reserved for packages that have also passed the behavioural sandbox.

LayerWhat it checksResult
L0Provenance & inventoryPASS
L1Static analysis of the codeNA
L2Instruction surface (what it tells the agent)PASS
L3Class-specific surfacePASS
L4Behavioural (sandbox)SKIPPED

What the source does

Filesystem
none-observed
Network
none-observed
Shell
none-observed
Dependencies
pinned
Secrets in source
none-found

Findings (0)

No findings outside the package's declared scope.

Gates applied: no_behavioural_pass.

Audited 2026-10-02 · audit v0.4.1 · source sha aa855ad1e58dfull audit observations/trust-audit/skill/davila7__google-cloud-waf-security.json · Report an issue / request a re-scan
04

Audit history

Every audit this skill has had.

DateSourceVerdictGradeScoreChange
2026-10-02aa855ad1e58dSAFEB89first audit
05

Questions

What does the Google Cloud Waf Security skill do?

CLI tool for configuring and monitoring Claude Code

Is Google Cloud Waf Security safe to install?

The audit found nothing in the source that contradicts what it says it does, and graded it B (89/100). Grade A is held back for packages that have also passed a sandboxed behavioural run, which is why a clean skill reads B.

What can Google Cloud Waf Security access on my machine?

The audit observed no filesystem, network or shell use at all in its source.

How current is this page?

The grade is for one exact copy of the source (aa855ad1e58d), read on 2026-10-02. The repository is watched, and a new audit runs when it changes — this is the first audit.

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