Auditing Gcp Iam PermissionsSAFE
817 structured cybersecurity skills for AI agents · Mapped to 6 frameworks: MITRE ATT&CK, NIST CSF 2.0, MITRE ATLAS, D3FEND, NIST AI RMF & MITRE F3 (Fight Fraud) · agentskills.io standard · Works with Claude Code, GitHub Copilot, Codex CLI, Cursor, Gemini CLI & 20+ platforms · 29 security domains ·
Overview
817 structured cybersecurity skills for AI agents · Mapped to 6 frameworks: MITRE ATT&CK, NIST CSF 2.0, MITRE ATLAS, D3FEND, NIST AI RMF & MITRE F3 (Fight Fraud) · agentskills.io standard · Works with Claude Code, GitHub Copilot, Codex CLI, Cursor, Gemini CLI & 20+ platforms · 29 security domains ·
6c59587be632OBSERVED · 2026-10-07What 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: 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.
```bash
# 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.
```bash
# 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.
```bash
# 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.
```bash
# 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:[email protected]" \
--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.
| Layer | What it checks | Result |
|---|---|---|
| L0 | Provenance & inventory | PASS |
| L1 | Static analysis of the code | PASS |
| L2 | Instruction surface (what it tells the agent) | PASS |
| L3 | Class-specific surface | PASS |
| L4 | Behavioural (sandbox) | SKIPPED |
What the source does
- Filesystem
- none-observed
- Network
- none-observed
- Shell
- none-observed
- Dependencies
- pinned
- Secrets in source
- none-found
Findings (1)
List all IAM bindings at organization, folder, and project levels to understand the full access landscape.
Gates applied: no_behavioural_pass.
6c59587be632full audit observations/trust-audit/skill/mukul975__auditing-gcp-iam-permissions.json · Report an issue / request a re-scanAudit history
Every audit this skill has had.
| Date | Source | Verdict | Grade | Score | Change |
|---|---|---|---|---|---|
| 2026-10-07 | 6c59587be632 | SAFE | B | 89 | first audit |
Questions
What does the Auditing Gcp Iam Permissions skill do?
817 structured cybersecurity skills for AI agents · Mapped to 6 frameworks: MITRE ATT&CK, NIST CSF 2.0, MITRE ATLAS, D3FEND, NIST AI RMF & MITRE F3 (Fight Fraud) · agentskills.io standard · Works with Claude Code, GitHub Copilot, Codex CLI, Cursor, Gemini CLI & 20+ platforms · 29 security domains ·
Is Auditing Gcp Iam Permissions 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 Auditing Gcp Iam Permissions 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 (6c59587be632), read on 2026-10-07. The repository is watched, and a new audit runs when it changes — this is the first audit.