implementing-gcp-organization-policy-constraints

mukul975/Anthropic-Cybersecurity-Skills · updated May 25, 2026

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$npx skills install mukul975/Anthropic-Cybersecurity-Skills/implementing-gcp-organization-policy-constraints
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summary

Implement GCP Organization Policy constraints to enforce security guardrails across the entire resource hierarchy, restricting risky configurations and ensuring compliance at organization, folder, and project levels.

skill.md
name
implementing-gcp-organization-policy-constraints
description
Implement GCP Organization Policy constraints to enforce security guardrails across the entire resource hierarchy, restricting risky configurations and ensuring compliance at organization, folder, and project levels.
domain
cybersecurity
subdomain
cloud-security
tags
- gcp - organization-policy - constraints - governance - compliance - cloud-security - resource-manager
version
'1.0'
author
mahipal
license
Apache-2.0
nist_csf
- PR.IR-01 - ID.AM-08 - GV.SC-06 - DE.CM-01

Implementing GCP Organization Policy Constraints

Overview

The GCP Organization Policy Service provides centralized and programmatic control over cloud resources. Organization policies configure constraints that restrict one or more Google Cloud services, enforced at organization, folder, or project levels. They improve security by blocking external IPs, requiring encryption, and minimizing unauthorized access. Changes can take up to 15 minutes to propagate.

When to Use

  • When deploying or configuring implementing gcp organization policy constraints capabilities in your environment
  • When establishing security controls aligned to compliance requirements
  • When building or improving security architecture for this domain
  • When conducting security assessments that require this implementation

Prerequisites

  • GCP Organization with Organization Administrator role
  • gcloud CLI configured and authenticated
  • Terraform or gcloud for policy management
  • Organization Policy Administrator IAM role (roles/orgpolicy.policyAdmin)

Core Concepts

Constraint Types

  1. List Constraints: Allow or deny specific values (e.g., allowed regions)
  2. Boolean Constraints: Enable or disable a capability (e.g., disable serial port access)
  3. Custom Constraints: User-defined rules targeting specific resource fields (Preview)

Policy Inheritance

Policies inherit from the lowest ancestor with an enforced policy. If no ancestor has a policy, Google's managed default behavior applies.

Essential Security Constraints

Restrict VM External IP Addresses

# Deny external IP addresses on all VMs
gcloud resource-manager org-policies set-policy \
  --organization=ORGANIZATION_ID \
  policy.yaml

policy.yaml:

constraint: constraints/compute.vmExternalIpAccess
listPolicy:
  allValues: DENY

Restrict Resource Locations

gcloud org-policies set-policy \
  --organization=ORGANIZATION_ID \
  location-policy.yaml

location-policy.yaml:

constraint: constraints/gcp.resourceLocations
listPolicy:
  allowedValues:
    - "in:us-locations"
    - "in:eu-locations"

Disable Default Service Account Creation

constraint: constraints/iam.automaticIamGrantsForDefaultServiceAccounts
booleanPolicy:
  enforced: true

Require OS Login for SSH

constraint: constraints/compute.requireOsLogin
booleanPolicy:
  enforced: true

Disable Serial Port Access

constraint: constraints/compute.disableSerialPortAccess
booleanPolicy:
  enforced: true

Enforce Uniform Bucket-Level Access

constraint: constraints/storage.uniformBucketLevelAccess
booleanPolicy:
  enforced: true

Restrict Public IP on Cloud SQL

constraint: constraints/sql.restrictPublicIp
booleanPolicy:
  enforced: true

Disable Service Account Key Creation

constraint: constraints/iam.disableServiceAccountKeyCreation
booleanPolicy:
  enforced: true

Terraform Implementation

resource "google_organization_policy" "restrict_vm_external_ip" {
  org_id     = var.org_id
  constraint = "constraints/compute.vmExternalIpAccess"

  list_policy {
    deny {
      all = true
    }
  }
}

resource "google_organization_policy" "restrict_locations" {
  org_id     = var.org_id
  constraint = "constraints/gcp.resourceLocations"

  list_policy {
    allow {
      values = ["in:us-locations", "in:eu-locations"]
    }
  }
}

resource "google_organization_policy" "require_os_login" {
  org_id     = var.org_id
  constraint = "constraints/compute.requireOsLogin"

  boolean_policy {
    enforced = true
  }
}

resource "google_folder_organization_policy" "dev_folder_external_ip" {
  folder     = google_folder.dev.name
  constraint = "constraints/compute.vmExternalIpAccess"

  list_policy {
    allow {
      values = ["projects/dev-project/zones/us-central1-a/instances/bastion-host"]
    }
  }
}

Dry-Run Testing

Use Policy Intelligence tools to test changes before enforcement:

# Create a dry-run policy to monitor impact
gcloud org-policies set-policy \
  --organization=ORGANIZATION_ID \
  dry-run-policy.yaml

dry-run-policy.yaml:

constraint: constraints/compute.vmExternalIpAccess
listPolicy:
  allValues: DENY
dryRunSpec: true
# Check violations against dry-run policy
gcloud org-policies list-custom-constraints \
  --organization=ORGANIZATION_ID

Custom Constraints

# custom-constraint.yaml
name: organizations/ORGANIZATION_ID/customConstraints/custom.disableGKEAutoUpgrade
resourceTypes:
  - container.googleapis.com/NodePool
methodTypes:
  - CREATE
  - UPDATE
condition: "resource.management.autoUpgrade == true"
actionType: DENY
displayName: Deny GKE auto-upgrade on node pools
description: Prevents enabling auto-upgrade on GKE node pools for controlled upgrades
gcloud org-policies set-custom-constraint custom-constraint.yaml

Monitoring and Compliance

List active policies

gcloud org-policies list --organization=ORGANIZATION_ID

Describe a specific policy

gcloud org-policies describe constraints/compute.vmExternalIpAccess \
  --organization=ORGANIZATION_ID

Audit policy violations with Cloud Asset Inventory

gcloud asset search-all-resources \
  --scope=organizations/ORGANIZATION_ID \
  --query="policy:constraints/compute.vmExternalIpAccess"

Recommended Baseline Policies

ConstraintTypeScopePurpose
compute.vmExternalIpAccessList/DenyOrgPrevent public VM IPs
gcp.resourceLocationsList/AllowOrgRestrict to approved regions
iam.disableServiceAccountKeyCreationBooleanOrgForce Workload Identity
compute.requireOsLoginBooleanOrgMandate OS Login for SSH
storage.uniformBucketLevelAccessBooleanOrgEnforce uniform bucket access
sql.restrictPublicIpBooleanOrgNo public Cloud SQL
compute.disableSerialPortAccessBooleanOrgDisable serial port
compute.disableNestedVirtualizationBooleanOrgNo nested VMs

References

how to use implementing-gcp-organization-policy-constraints

How to use implementing-gcp-organization-policy-constraints on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your development machine
  • Node.js version 16.0+ with npm package manager (verify with node --version)
  • Active project directory or workspace where you want to add implementing-gcp-organization-policy-constraints
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills install mukul975/Anthropic-Cybersecurity-Skills/implementing-gcp-organization-policy-constraints

The skills CLI fetches implementing-gcp-organization-policy-constraints from GitHub repository mukul975/Anthropic-Cybersecurity-Skills and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
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│ • Cursor
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4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/implementing-gcp-organization-policy-constraints

Reload or restart Cursor to activate implementing-gcp-organization-policy-constraints. Access the skill through slash commands (e.g., /implementing-gcp-organization-policy-constraints) or your agent's skill management interface.

Security & Verification Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

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Use Cases

Task Automation & Efficiency

Automate repetitive workflows and reduce manual effort

Example

Generate reports, summarize documents, draft communications

Save 3-5 hours per week on routine tasks

Knowledge Enhancement

Learn new skills, understand complex topics, get expert guidance

Example

Explain concepts, provide examples, suggest learning resources

Accelerate learning and skill development by 2x

Quality Improvement

Enhance output quality through reviews, suggestions, and refinements

Example

Review drafts, suggest improvements, catch errors

Improve work quality by 30-40% with less effort

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client with skill support
  • Clear understanding of task or problem to solve
  • Willingness to iterate and refine outputs

Time Estimate

15-45 minutes depending on use case complexity

Installation Steps

  1. 1.Install skill using provided installation command
  2. 2.Test with simple use case relevant to your work
  3. 3.Evaluate output quality and relevance
  4. 4.Iterate on prompts to improve results
  5. 5.Integrate into regular workflow if valuable

Common Pitfalls

  • Expecting perfect results without iteration
  • Not providing enough context in prompts
  • Using skill for tasks outside its intended scope
  • Accepting outputs without review and validation

Best Practices

✓ Do

  • +Start with clear, specific prompts
  • +Provide relevant context and constraints
  • +Review and refine all outputs before using
  • +Iterate to improve output quality
  • +Document successful prompt patterns

✗ Don't

  • Don't use without understanding skill limitations
  • Don't skip validation of outputs
  • Don't share sensitive information in prompts
  • Don't expect skill to replace human judgment

💡 Pro Tips

  • Be specific about desired format and style
  • Ask for multiple options to choose from
  • Request explanations to understand reasoning
  • Combine AI efficiency with human expertise

When to Use This

✓ Use When

Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.

✗ Avoid When

Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.

Learning Path

  1. 1Familiarize yourself with skill capabilities and limitations
  2. 2Start with low-risk, non-critical tasks
  3. 3Progress to more complex and valuable use cases
  4. 4Build expertise through regular use and experimentation

Discussion

Product Hunt–style comments (not star reviews)
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general reviews

Ratings

4.757 reviews
  • Mei Shah· Dec 12, 2024

    I recommend implementing-gcp-organization-policy-constraints for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Meera Park· Dec 12, 2024

    implementing-gcp-organization-policy-constraints fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Shikha Mishra· Dec 4, 2024

    Registry listing for implementing-gcp-organization-policy-constraints matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Yash Thakker· Nov 23, 2024

    Solid pick for teams standardizing on skills: implementing-gcp-organization-policy-constraints is focused, and the summary matches what you get after install.

  • Mei Patel· Nov 3, 2024

    Useful defaults in implementing-gcp-organization-policy-constraints — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Meera Jackson· Nov 3, 2024

    We added implementing-gcp-organization-policy-constraints from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Valentina Martinez· Nov 3, 2024

    implementing-gcp-organization-policy-constraints reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Mei Park· Oct 22, 2024

    Registry listing for implementing-gcp-organization-policy-constraints matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Naina Agarwal· Oct 22, 2024

    Keeps context tight: implementing-gcp-organization-policy-constraints is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Naina Taylor· Oct 22, 2024

    implementing-gcp-organization-policy-constraints is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

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