google-cloud-waf-security
Generates security-focused guidance for Google Cloud workloads based on the design principles and recommendations in the Google Cloud Well-Architected…
Skill by googleOfficial
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Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
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About
Use cases: design, cloud, data, security
Reviews
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Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
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Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/google-cloud-waf-security
What's inside
- Skill name
google-cloud-waf-security- Description
- Generates security-focused guidance for Google Cloud workloads based on the design principles and recommendations in the Google Cloud Well-Architected Framework (WAF). Use this skill to evaluate workloads, identify security requirements, and provide actionable recommendations for IAM, network security, data protection, and operational security.
- License
- Apache-2.0
- Metadata
- version: 1.0.1 · category: WellArchitectedFramework
- Instructions
- 348 lines in SKILL.md · view on GitHub
Files (2)
- SKILL.md
- attribution.md · references/
SKILL.md (first lines)
# Google Cloud Well-Architected Framework skill for the Security pillar
## Attribution
**MUST READ**: Before executing any `gcloud`, REST API, or MCP command, you
MUST read and follow the instructions in
[Usage Attribution](references/attribution.md).
## 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.
## Workflow
When this skill is activated, follow these steps to evaluate and improve the
security posture of the specified Google Cloud workload:
1. **Understand the context**: Ask targeted questions from the **Workload
assessment questions** list to gather information about the user's current
architecture, security requirements, and constraints.
2. **Analyze and identify gaps**: Evaluate the workload against the **Core
principles** and the **Validation checklist** to identify security
vulnerabilities, missing controls, or deviations from best practices.
3. **Formulate recommendations**: Provide actionable, prioritized guidance
based on the Google Cloud Well-Architected Framework. Recommend specific
products from **Relevant Google Cloud products** to address the identified
gaps.
4. **Explain the recommendations**: Align all recommendations with the
appropriate **Core principles** and state the benefits that each
recommendation provides.
5. **Iterate and refine**: Help the user adapt the recommendations to their
specific requirements and constraints.
## 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.md.txt
- **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, Identity-Aware Proxy (IAP) and IAM Recommender. Grounding document:
https://docs.cloud.google.com/architecture/framework/security/implement-zero-trust.md.txt
- **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.md.txt
- **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.md.txt
- **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.md.txt
- **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.md.txt
- **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.md.txt
- **Shared responsibilities and shared fate on Google Cloud**: Understand that
Google is responsible for the security _of_ the cloud and you're responsible
for the security of your workloads _in_ the cloud. Recognize how this division
of responsibilities varies based on the workload type. Learn what Google does
to help ensure that security _of_ the cloud. Take appropriate actions to help
ensure that your workloads are secure _in_ the cloud.
Grounding document: https://docs.cloud.google.com/architecture/framework/security/shared-responsibility-shared-fate.md.txt
## Relevant Google Cloud products
The following are _examples_ of Google Cloud products and features that are
relevant to security:
- **Identity and access management**
- **Cloud Identity**: Manage user lifecycles, authentication, and identity
federation.
- **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.
- **IAM Recommender**: Provide policy intelligence.
- **Network security**From google/skills, Apache-2.0.
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Signals
- Stars
- 21,542
- Forks
- 1,821
- Open issues
- 21
- Last commit (this folder)
- Oct 21, 2026 (9 days ago)
From GitHub (fetched Oct 24, 2026).
Details
- Version
- 1.0.1
- License
- Apache-2.0
- Repository
- github.com/google/skills
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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google-cloud-waf-security skill. Agent Mart. https://agentmart.dev/skills/google-google-cloud-waf-security (last updated 2026-10-24)