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auditing-gcp-iam-permissions

'Auditing Google Cloud Platform IAM permissions to identify overly permissive

Install / Use

npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill auditing-gcp-iam-permissions

Installs into whichever agent you are using.

About this skill
📄

SKILL.md

Installable skill definition

Quality Score

96/100

Category

Security

Supported Platforms

Universal

Our assessment of auditing-gcp-iam-permissions

auditing-gcp-iam-permissions scores 96/100 on our quality scale, 99th of 544 Security skills we index (top 19%).

Its SKILL.md is 12 KB long, well organised into 37 sections with 7 code examples: a thorough specification that gives an agent plenty to work with.

With 33,340 GitHub stars, it is one of the more widely adopted skills in the catalogue.

Substance
30/30
Structure
20/20
Description
12/15
Adoption
19/20
Freshness
15/15

Maintenance, license and trust

  • The repository was last updated 25 days ago, so auditing-gcp-iam-permissions is actively maintained.
  • It is released under the Apache-2.0 license, a permissive license that allows use, modification and commercial use with attribution.
  • Its trust signals score 100/100, with no cautions. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.

Safety scan

No issues found

Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. An AI review of the same text found nothing harmful.

AI review by kimi-k2.7-code on 2026-09-25. Automated pattern scan on 2026-09-25. It catches known dangerous patterns, not every risk — read a skill before letting an agent act on it.

auditing-gcp-iam-permissions compared with similar skills

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Frequently asked questions

How do I install auditing-gcp-iam-permissions?
Run npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill auditing-gcp-iam-permissions. The install tabs above show the steps for each supported agent.
Which AI agents does auditing-gcp-iam-permissions work with?
It is written for Universal, as a SKILL.md file. Other agents that read the same format can often use it too.
Is auditing-gcp-iam-permissions safe to use?
Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. An AI review of the same text found nothing harmful. It is Apache-2.0-licensed and scores 100/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
Is auditing-gcp-iam-permissions still maintained?
The repository was last updated 25 days ago, so auditing-gcp-iam-permissions is actively maintained.

name: auditing-gcp-iam-permissions description: 'Auditing Google Cloud Platform IAM permissions to identify overly permissive bindings, primitive role usage, service account key proliferation, and cross-project access risks using gcloud CLI, Policy Analyzer, and IAM Recommender.

' domain: cybersecurity subdomain: cloud-security tags:

  • cloud-security
  • gcp
  • iam
  • permissions-audit
  • service-accounts
  • policy-analyzer version: '1.0' author: mahipal license: Apache-2.0 nist_csf:
  • PR.IR-01
  • ID.AM-08
  • GV.SC-06
  • DE.CM-01 mitre_attack:
  • T1078.004
  • T1098.003
  • T1528
  • T1548.005
  • T1580

Auditing GCP IAM Permissions

When to Use

  • When performing security assessments of GCP organization or project IAM configurations
  • When identifying service accounts with excessive permissions or unused access
  • When compliance requirements mandate review of access controls and role assignments
  • When investigating potential lateral movement through IAM misconfigurations
  • When reducing the blast radius of compromised credentials by scoping down permissions

Do not use for VPC firewall rule auditing (use network security tools), for GKE RBAC auditing (use Kubernetes-specific RBAC tools), or for real-time threat detection on IAM actions (use SCC Event Threat Detection).

Prerequisites

  • GCP organization or project with roles/iam.securityReviewer and roles/cloudAsset.viewer
  • gcloud CLI authenticated with appropriate permissions
  • Cloud Asset API enabled (gcloud services enable cloudasset.googleapis.com)
  • IAM Recommender API enabled (gcloud services enable recommender.googleapis.com)
  • Policy Analyzer API enabled (gcloud services enable policyanalyzer.googleapis.com)

Workflow

Step 1: Enumerate IAM Bindings Across the Organization

List all IAM bindings at organization, folder, and project levels to understand the full access landscape.

# Organization-level IAM bindings
gcloud organizations get-iam-policy ORG_ID \
  --format=json > org-iam-policy.json

# Search all IAM policies across the organization
gcloud asset search-all-iam-policies \
  --scope=organizations/ORG_ID \
  --format="table(resource, policy.bindings.role, policy.bindings.members)" \
  --limit=500

# Find all users and service accounts with Owner role
gcloud asset search-all-iam-policies \
  --scope=organizations/ORG_ID \
  --query="policy:roles/owner" \
  --format="table(resource, policy.bindings.members)"

# Find all bindings using primitive roles (Owner, Editor, Viewer)
gcloud asset search-all-iam-policies \
  --scope=organizations/ORG_ID \
  --query="policy:roles/owner OR policy:roles/editor" \
  --format=json | python3 -c "
import json, sys
data = json.load(sys.stdin)
for result in data:
    resource = result.get('resource', '')
    for binding in result.get('policy', {}).get('bindings', []):
        role = binding.get('role', '')
        if role in ['roles/owner', 'roles/editor']:
            for member in binding.get('members', []):
                print(f'{resource} | {role} | {member}')
"

Step 2: Audit Service Accounts and Their Keys

Identify service accounts with excessive permissions, user-managed keys, and unused accounts.

# List all service accounts in a project
gcloud iam service-accounts list \
  --project=PROJECT_ID \
  --format="table(email, displayName, disabled)"

# Check for user-managed keys (should be minimized)
for sa in $(gcloud iam service-accounts list --project=PROJECT_ID --format="value(email)"); do
  keys=$(gcloud iam service-accounts keys list \
    --iam-account="$sa" \
    --managed-by=user \
    --format="table(name.basename(),validAfterTime,validBeforeTime)")
  if [ -n "$keys" ]; then
    echo "=== $sa ==="
    echo "$keys"
  fi
done

# Find service accounts with admin roles across all projects
gcloud asset search-all-iam-policies \
  --scope=organizations/ORG_ID \
  --query="policy.bindings.members:serviceAccount AND (policy:roles/owner OR policy:roles/editor OR policy:admin)" \
  --format="table(resource, policy.bindings.role, policy.bindings.members)"

# Check service account IAM policies (who can impersonate)
for sa in $(gcloud iam service-accounts list --project=PROJECT_ID --format="value(email)"); do
  echo "=== $sa ==="
  gcloud iam service-accounts get-iam-policy "$sa" --format=json 2>/dev/null
done

Step 3: Use IAM Recommender to Identify Excess Permissions

Leverage GCP's IAM Recommender to find roles that grant more access than actually used.

# List IAM role recommendations for a project
gcloud recommender recommendations list \
  --project=PROJECT_ID \
  --recommender=google.iam.policy.Recommender \
  --location=global \
  --format="table(name, description, priority, stateInfo.state)"

# Get detailed recommendation
gcloud recommender recommendations describe RECOMMENDATION_ID \
  --project=PROJECT_ID \
  --recommender=google.iam.policy.Recommender \
  --location=global \
  --format=json

# List insights about IAM usage
gcloud recommender insights list \
  --project=PROJECT_ID \
  --insight-type=google.iam.policy.Insight \
  --location=global \
  --format="table(name, description, severity, category)"

# Apply a recommendation (after review)
gcloud recommender recommendations mark-claimed RECOMMENDATION_ID \
  --project=PROJECT_ID \
  --recommender=google.iam.policy.Recommender \
  --location=global \
  --etag=ETAG

Step 4: Analyze Effective Permissions with Policy Analyzer

Use Policy Analyzer to determine effective access for specific principals or resources.

# Check who has access to a specific resource
gcloud asset analyze-iam-policy \
  --organization=ORG_ID \
  --full-resource-name="//storage.googleapis.com/projects/_/buckets/sensitive-data-bucket" \
  --format="table(identityList.identities, accessControlLists.accesses.role)"

# Check what resources a specific user can access
gcloud asset analyze-iam-policy \
  --organization=ORG_ID \
  --identity="user:developer@company.com" \
  --format="table(accessControlLists.resources.fullResourceName, accessControlLists.accesses.role)"

# Check who can perform a specific action
gcloud asset analyze-iam-policy \
  --organization=ORG_ID \
  --full-resource-name="//cloudresourcemanager.googleapis.com/projects/PROJECT_ID" \
  --permissions="iam.serviceAccounts.actAs,iam.serviceAccountKeys.create" \
  --format="table(identityList.identities, accessControlLists.accesses.permission)"

# Find all principals with allUsers or allAuthenticatedUsers access
gcloud asset search-all-iam-policies \
  --scope=organizations/ORG_ID \
  --query="policy:allUsers OR policy:allAuthenticatedUsers" \
  --format="table(resource, policy.bindings.role, policy.bindings.members)"

Step 5: Check for Domain-Wide Delegation and Impersonation Risks

Identify service accounts with domain-wide delegation and impersonation capabilities.

# Check for service accounts with domain-wide delegation
# (Requires Admin SDK access to list delegated accounts)
gcloud iam service-accounts list --project=PROJECT_ID --format=json | python3 -c "
import json, sys
accounts = json.load(sys.stdin)
for sa in accounts:
    email = sa.get('email', '')
    # Check if the SA has domain-wide delegation enabled
    # This requires Admin SDK API access
    print(f'SA: {email} - Check admin.google.com for delegation status')
"

# Find service accounts that other identities can impersonate
for sa in $(gcloud iam service-accounts list --project=PROJECT_ID --format="value(email)"); do
  policy=$(gcloud iam service-accounts get-iam-policy "$sa" --format=json 2>/dev/null)
  if echo "$policy" | python3 -c "
import json, sys
p = json.load(sys.stdin)
for b in p.get('bindings', []):
    if b['role'] in ['roles/iam.serviceAccountTokenCreator', 'roles/iam.serviceAccountUser']:
        print(f'  {b[\"role\"]}: {b[\"members\"]}')
" 2>/dev/null; then
    echo "=== Impersonation risk: $sa ==="
  fi
done

Step 6: Generate Audit Report and Apply Remediation

Compile findings and implement recommended permission reductions.

# Remove primitive role and replace with predefined role
gcloud projects remove-iam-policy-binding PROJECT_ID \
  --member="user:developer@company.com" \
  --role="roles/editor"

gcloud projects add-iam-policy-binding PROJECT_ID \
  --member="user:developer@company.com" \
  --role="roles/compute.viewer"

gcloud projects add-iam-policy-binding PROJECT_ID \
  --member="user:developer@company.com" \
  --role="roles/storage.objectViewer"

# Delete unused service account keys
gcloud iam service-accounts keys delete KEY_ID \
  --iam-account=SA_EMAIL

# Disable unused service accounts
gcloud iam service-accounts disable SA_EMAIL --project=PROJECT_ID

Key Concepts

| Term | Definition | |------|------------| | Primitive Role | Legacy GCP roles (Owner, Editor, Viewer) that grant broad permissions across all services, not recommended for production | | Predefined Role | GCP-managed role scoped to specific services and actions, providing more granular access than primitive roles | | IAM Recommender | GCP ML-based service that analyzes actual permission usage and suggests role reductions to achieve least privilege | | Policy Analyzer | Tool for analyzing effective IAM access across the organization hierarchy, answering who-can-access-what queries | | Service Account Key | User-managed credential for service account authentication, a security risk as keys can be exported and do not auto-expire | | Domain-Wide Delegation | Grants a service account the ability to impersonate any user in the Google Workspace domain, a significant privilege escalation risk |

Tools & Systems

  • gcloud CLI: Primary tool for querying and managing GCP IAM policies, service accounts, and role bindings
  • IAM Recommender: ML-based recommendation engine for reducing excessive permissions based on actual usage
  • Policy Analyzer: Organization-wide effective access analysis tool for understanding who can access what
  • Cloud Asset Inventory: Cross-project search for IAM policies and resource metadata
  • ScoutSuite: Multi-cloud auditing tool with GCP IAM-specific checks for role assignments and service accounts

Common Scenarios

Scenario: Reducing Primitive Role Usage Across a GCP Organization

Context: An audit reveals that 60% of IAM bindings across the organization use primitive roles (Owner/Editor). The security team needs to migrate to predefined roles without disrupting developer workflows.

Approach:

  1. Run gcloud asset search-all-iam-policies to inventory all primitive role bindings
  2. Use IAM Recommender to get ML-based suggestions for replacement predefined roles
  3. For each binding, use Policy Analyzer to understand what the principal actually accesses
  4. Create a mapping document: primitive role -> specific predefined roles needed
  5. Apply predefined roles alongside primitive roles for a testing period
  6. Monitor for access denied errors using Cloud Audit Logs
  7. Remove primitive roles after confirming no access issues over 2 weeks

Pitfalls: Primitive roles include permissions across all GCP services, so replacing them requires multiple predefined roles. The Recommender may suggest overly restrictive roles if the observation period does not capture all use cases. Custom roles can fill gaps where no predefined role matches the exact permission set needed.

Output Format

GCP IAM Permissions Audit Report
===================================
Organization: acme-org (ORG_ID: 123456789)
Projects Audited: 25
Audit Date: 2026-02-23

IAM BINDING SUMMARY:
  Total bindings:                    342
  Using primitive roles:             205 (60%)
  Using predefined roles:            112 (33%)
  Using custom roles:                 25 (7%)

CRITICAL FINDINGS:
[IAM-001] Service Account with Owner Role
  SA: admin-sa@prod-project.iam.gserviceaccount.com
  Role: roles/owner on project prod-project
  User-Managed Keys: 3 (oldest: 14 months)
  Remediat

Truncated for display — read the full file on GitHub.

Related Skills

View on GitHub
GitHub Stars33.3k
CategorySecurity
Updated25d ago
Forks4.0k

Languages

Python

Trust signals

100/100

From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.

No cautions