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google/google-cloud-filestore-auditing

google

google-cloud-filestore-auditing

Audits Google Cloud Filestore instances across projects for disaster recovery readiness (missing or stale backups), security access governance (overly permissive NFS export rules, 0.0.0.0/0 exposure, missing ROOT_SQUASH), and reliability compliance (Physical Zone Isolation PZI and Physical Zone Separation PZS). Use when assessing storage health posture, auditing NFS export permissions, identifying unprotected file shares, or validating zone failure domains. Don't use for Cloud Storage buckets, Persistent Disk, or NetApp Volumes.

v1.0LATEST
NewUpdated Sep 9, 2026

Google Cloud Filestore Auditing Skill

This skill enables autonomous agents to audit, evaluate, and report the disaster recovery, security access governance, and architectural reliability posture of Google Cloud Filestore fleets across GCP projects.

Prerequisites / IAM Requirements & Permissions

Before executing this skill, the runtime principal (user account or Service Account) must possess the following IAM roles and granular permissions on the target GCP project(s):

1. Audit Operations (Read-Only Assessment)

Requires the roles/file.viewer role, which provides:

  • file.instances.list: Enumerate Filestore instances across project locations.
  • file.instances.get: Inspect instance configuration, NFS export rules, IP ranges, squash mode, and PZI/PZS isolation status.
  • file.backups.list: Enumerate existing backups across regions.
  • file.backups.get: Inspect backup timestamps, source instance URIs, and status.

2. Remediation Operations (Backup Creation)

Requires the roles/file.editor (or roles/file.admin) role, which provides:

  • file.backups.create: Create on-demand baseline backups for unprotected instances.
  • file.operations.get: Monitor long-running backup creation operations.

3. MCP Tool Invocation

If invoking capabilities via the Google Cloud Filestore MCP Server (file.googleapis.com/mcp):

  • roles/mcp.toolUser: Required to execute MCP tools (list_instances, get_instance, list_backups, get_backup, create_backup).

4. Cloud Authentication Setup

Authenticate the runtime environment using the appropriate method for your execution context:

  • CLI Execution (gcloud):
    gcloud auth login
    
  • Application SDKs & Scripts:
    gcloud auth application-default login
    
  • Automated Services & Service Accounts:
    export GOOGLE_APPLICATION_CREDENTIALS="/path/to/service-account-key.json"
    

5. Billing Account Attachment

  • Active Billing Required: The target GCP project must have an active Cloud Billing account attached. Filestore instances and backup operations require active billing. Verify billing status with:
    gcloud beta billing projects describe {project_id}
    

Quick Start

  1. Ensure gcloud is installed. See gcloud installation guide if needed.

  2. Authenticate your environment:

    gcloud auth login
    gcloud auth application-default login
    
  3. Set the target project context and verify an active billing account is attached:

    gcloud config set project {project_id}
    gcloud beta billing projects describe {project_id}
    
  4. Configure a well-supported default region (e.g., us-central1). See official region availability documentation:

    gcloud config set compute/region us-central1
    
  5. Verify required service APIs are enabled:

    gcloud services enable file.googleapis.com --quiet
    
  6. Run fleet discovery and backup inventory (see "Discovery & Read Operations" below).

  7. Evaluate findings against the audit rules matrix and render the executive scorecard and inventory table.

  8. If unprotected instances are identified, present baseline backup creation commands and prompt the user for confirmation.

Attribution Guardrail

Tag every Cloud Filestore command or API request provided or executed. Prefix gcloud commands with the designated metrics environment:

CLOUDSDK_METRICS_ENVIRONMENT="gcs-skills gcs-skills/1.0 (skill:google-cloud-filestore-auditing)" \
gcloud filestore instances list ...

On direct HTTP calls to the GCP REST API, append the User-Agent:

User-Agent: gcs-skills/1.0 (skill:google-cloud-filestore-auditing)

Conceptual & Informational Queries (CRITICAL)

For purely conceptual, educational, or architectural questions (e.g., "What is Physical Zone Isolation (PZI) in Filestore?", "Why is NO_ROOT_SQUASH dangerous?", "Explain Filestore backup architecture"):

  • Rule: Answer immediately using pre-trained knowledge and the guidance in references/.
  • Constraint: Do NOT execute external tool calls or API requests for basic conceptual queries.

Handling "No-Command" Constraints & Evaluations (CRITICAL)

If the user prompt contains constraints like "Do not execute commands", "without executing", or "read-only":

  • Rule: Strictly avoid calling the run_command tool to execute any shell, python, or gcloud commands.
  • Discovery Hierarchy:
    1. First, check if Filestore MCP tools (list_instances, list_backups) are available and query them directly (these are API invocations, not shell command executions).
    2. If MCP tools are not present or cannot connect, search local reference markdown files (specifically the mock fleet definitions in references/zone-isolation-pzi-pzs.md) for any mock instances or project details matching the request. (Do NOT attempt to read evaluation config files such as EVAL.yaml or EVAL.txtpb during evaluation runs as access is restricted and triggers anti-cheating timeouts).
    3. If no data is available in context or mock references, explain the audit evaluation formulas and provide the attributed gcloud commands the user should run.
  • Mandatory User Confirmation Requirement: Even when the user prompt asks not to execute commands or asks only for audit recommendations, any response recommending backup remediation MUST STILL end with a clear confirmation prompt before execution (e.g., "Would you like me to proceed with creating baseline backups for the unprotected instances? Please confirm to proceed.").

Core Operational Workflow

1. Discovery & Read Operations

The agent must discover all Filestore instances and backups in the target project.

  • Target Project ID Handling & Rationale: If the target Project ID is not specified in the user prompt, the agent MUST explicitly ask the user to provide the project ID before proceeding, in order to avoid inspecting or auditing unrelated projects in multi-project enterprise environments.

Choose the discovery method matching your runtime environment:

  1. Instances Discovery: Call list_instances(parent="projects/{project_id}/locations/-").
  2. Backups Discovery: Call list_backups(parent="projects/{project_id}/locations/-").

Option B: gcloud CLI (Terminal / Coding Harnesses)

  1. Instances Discovery:

    CLOUDSDK_METRICS_ENVIRONMENT="gcs-skills gcs-skills/1.0 (skill:google-cloud-filestore-auditing)" \
    gcloud filestore instances list --project="{project_id}" --format="json"
    
  2. Backups Discovery:

    CLOUDSDK_METRICS_ENVIRONMENT="gcs-skills gcs-skills/1.0 (skill:google-cloud-filestore-auditing)" \
    gcloud filestore backups list --project="{project_id}" --format="json"
    

    (Note: Do NOT pass --location=- to gcloud filestore backups list; omitting the flag queries all regions across the project automatically).

Option C: GCP REST API (call_gcp_api in Gemini Enterprise File Agent / curl)

  1. Instances: GET https://file.googleapis.com/v1/projects/{project_id}/locations/-/instances
  2. Backups: GET https://file.googleapis.com/v1/projects/{project_id}/locations/-/backups

Option D: Standalone Script Runner

For environments with standard python3 execution enabled, the agent may invoke the portable script: python3 scripts/filestore_audit.py --project="{project_id}" [--format=markdown|json]


2. Audit Evaluation & Vector Checks

For each discovered instance, evaluate three audit vectors:

Vector 1: Disaster Recovery & Backup Protection

  • Match backups to instances using full canonical resource URIs (backup.sourceInstance == instance.name).
  • Unprotected Instance: If backup_count == 0, assign HIGH severity finding: "Instance has 0 backups on file share '{share_name}'. Disaster recovery is not configured."
  • Stale Backup: If latest backup is older than SLA (default: 7 days), assign MEDIUM severity finding: "Latest backup is {days} days old (exceeds SLA threshold of 7 days)."
  • Refer to references/backup-dr-governance.md for backup retention and SLA rules.

Vector 2: Security & Access Governance

  • Inspect fileShares[0].nfsExportOptions:
    • Open Network Exposure: If 0.0.0.0/0, 0.0.0.0, or ::/0 is present in ipRanges, assign CRITICAL severity (if accessMode: READ_WRITE) or HIGH severity (if READ_ONLY): "Export rule exposes share to 0.0.0.0/0 with accessMode='{access_mode}'."
    • Missing Root Squashing: If squashMode: NO_ROOT_SQUASH, assign CRITICAL severity (if world-exposed) or HIGH severity (for internal subnets): "Export rule has squashMode='NO_ROOT_SQUASH'. Remote root clients retain superuser UID 0 privileges."
    • Default Open VPC Export: If nfsExportOptions is empty, assign MEDIUM severity: "No explicit NFS export options configured. Share defaults to open client access within VPC with NO_ROOT_SQUASH."
  • Refer to references/security-access-governance.md for export option configurations.

Vector 3: Zone Isolation & Reliability Compliance

  • Physical Zone Isolation (PZI): If satisfiesPzi: false, assign MEDIUM severity: "Instance does not satisfy Physical Zone Isolation (PZI)."
  • Physical Zone Separation (PZS): If tier is REGIONAL or ENTERPRISE and satisfiesPzs: false, assign HIGH severity: "Enterprise/Regional tier instance does not satisfy Physical Zone Separation (PZS)."
  • Performance Limits: Extract performanceLimits.maxWriteIops and performanceLimits.maxReadThroughputBps (convert to MB/s).
  • Refer to references/zone-isolation-pzi-pzs.md for datacenter failure domain isolation standards.

3. Executive Posture Scoring & Grading

Calculate fleet posture grade as defined in references/audit-rules-matrix.md:

  • Grade F (🔴 CRITICAL RISK): $\ge 1$ CRITICAL findings.
  • Grade C (🟠 ELEVATED RISK): 0 Critical, but $\ge 1$ HIGH findings.
  • Grade B (🟡 MODERATE): 0 Critical/High, but $\ge 1$ MEDIUM findings.
  • Grade A (🟢 HEALTHY): 0 findings across all vectors.

Calculate Backup Protection Rate %: $$\text{Protection Rate} = \frac{\text{Total Instances} - \text{Unprotected Instances}}{\text{Total Instances}} \times 100$$


4. Required Output Format

Every audit report response MUST include the following structured sections in Markdown:

1. Executive Posture Scorecard

## Executive Posture Scorecard: `{project_id}`

| Metric | Status | Details |
| :--- | :--- | :--- |
| **Overall Health Posture** | **[🔴 CRITICAL RISK / 🟠 ELEVATED RISK / 🟡 MODERATE / 🟢 HEALTHY]** | [Grade F / C / B / A] |
| **Instances Audited** | `[count]` | Total Filestore instances evaluated |
| **Backup Protection Rate** | **[pct]%** | `[protected]/[total]` instances have active backups |
| **Critical & High Security Findings** | `[crit] Critical, [high] High` | Open exports (0.0.0.0/0) or NO_ROOT_SQUASH |
| **PZI Isolation Compliance** | `[pzi_count]/[total]` | Physical Zone Isolation adherence |

2. Priority Findings & Remediation Matrix

List findings ranked by severity (CRITICAL $\to$ HIGH $\to$ MEDIUM $\to$ LOW):

## Priority Findings & Remediation Matrix

| Severity | Instance ID | Category | Finding Description | Remediation Plan |
| :--- | :--- | :--- | :--- | :--- |
| 🚨 **CRITICAL** | `[instance]` | Security | [Description] | [Remediation] |
| ⚠️ **HIGH** | `[instance]` | Disaster Recovery | [Description] | [Remediation] |

3. Filestore Instance Inventory & Compliance Status

## Filestore Instance Inventory & Compliance Status

| Instance ID | Location | Tier | Capacity | Reserved CIDR | Write IOPS | Throughput | PZI | PZS | Backups | Latest Backup |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| `[id]` | `[loc]` | `[tier]` | `[cap] GiB` | `[cidr]` | `[iops]` | `[tp] MB/s` | ✅ Yes / ❌ No | ✅ Yes / ❌ No / N/A | 🔴 0 / ✅ `[n]` | `[date]` |

4. Automated Remediation & Mandatory Confirmation Gate

If any unprotected instances are discovered, display attributed backup creation commands and conclude with an explicit confirmation request:

CLOUDSDK_METRICS_ENVIRONMENT="gcs-skills gcs-skills/1.0 (skill:google-cloud-filestore-auditing)" \
gcloud filestore backups create [INSTANCE]-backup-[DATE] \
    --project=[PROJECT_ID] \
    --instance=[INSTANCE] \
    --file-share=[SHARE] \
    [--instance-zone=[ZONE] | --instance-location=[REGION]] \
    --region=[BACKUP_REGION]

Confirmation Required: Would you like me to proceed with creating baseline backups for the unprotected instances? Please confirm to proceed.

CRITICAL RATIONALE: Do NOT execute backup creation without explicit user confirmation. Confirmation is strictly required before executing any mutation or backup creation commands in order to prevent unintended operational disruption, unwanted resource allocation, or unexpected backup storage billing.


Reference Directory

For progressive disclosure and deep architectural guidance, consult the following references:

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Overall Score

82/100

Grade

B

Good

Grades are signals, not a certification. Always review a skill yourself before use.

Safety

85

Quality

88

Clarity

84

Completeness

78

Summary

This skill enables AI agents to audit Google Cloud Filestore instances across GCP projects for disaster recovery readiness, security access governance, and reliability compliance. The skill provides comprehensive guidance on detecting unprotected backups, overly permissive NFS exports, missing root squashing, and zone isolation non-compliance. It supports multiple discovery methods (gcloud CLI, MCP tools, REST API, standalone Python script) and generates structured audit reports with severity-ranked findings and attributed remediation commands.

Detected Capabilities

gcloud CLI execution (filestore instances list, backups list, backups create)Google Cloud REST API requests (file.googleapis.com v1 endpoints)Python script execution (filestore_audit.py)JSON parsing and timestamp processingEnvironment variable configuration (CLOUDSDK_METRICS_ENVIRONMENT)Multi-location and multi-region resource discovery

Trigger Keywords

Phrases that agents use to match this skill to user intent.

audit filestore backupsfilestore security governancenfs export compliancezone isolation pzi pzsfilestore disaster recoverybackup protection auditfilestore fleet auditroot squash exposure

Risk Signals

INFO

gcloud filestore backups create commands with user confirmation requirement

SKILL.md section 4, scripts/filestore_audit.py _render_remediation_actions
INFO

Environment variable injection (CLOUDSDK_METRICS_ENVIRONMENT) for attribution

SKILL.md 'Attribution Guardrail' section, scripts/filestore_audit.py METRICS_ENV
INFO

API calls to cloud.google.com (file.googleapis.com/v1)

SKILL.md sections 1C, 2.1 Option C
INFO

Subprocess execution of gcloud commands with JSON output parsing

scripts/filestore_audit.py run_command(), fetch_instances(), fetch_backups()
INFO

No secrets access or credential handling in skill content

SKILL.md prerequisites section references gcloud auth but does not embed credentials

Referenced Domains

External domains referenced in skill content, detected by static analysis.

cloud.google.comfile.googleapis.comwww.apache.org

Use Cases

  • Audit Filestore instances for backup protection gaps across multiple GCP projects
  • Identify overly permissive NFS export rules (0.0.0.0/0 exposure) and missing root squashing
  • Evaluate Physical Zone Isolation (PZI) and Physical Zone Separation (PZS) compliance for multi-tier instances
  • Generate executive posture scorecards and compliance matrices for storage governance
  • Create on-demand baseline backups with user confirmation for unprotected file shares
  • Monitor disaster recovery readiness and backup SLA adherence (7-day threshold)

Quality Notes

  • Excellent scope clarity: skill explicitly documents what it audits (Filestore only) and what it does NOT handle (Cloud Storage buckets, Persistent Disk, NetApp Volumes)
  • Strong guardrails: mandatory confirmation gate before executing backup creation (section 'Automated Remediation & Mandatory Confirmation Gate') prevents unintended resource allocation or billing impacts
  • Comprehensive conceptual guidance: references are well-structured and address three audit vectors (DR, security, compliance) with concrete findings matrices and remediation rules
  • Attribution strategy is well-designed: all gcloud commands include CLOUDSDK_METRICS_ENVIRONMENT prefix and REST API calls specify User-Agent header, enabling audit trail and skill attribution
  • Python script is production-ready: robust JSON error handling, RFC3339 timestamp parsing, timezone-aware date calculations, and multi-location discovery with proper fallback patterns
  • Mock fleet definitions in references/zone-isolation-pzi-pzs.md support evaluation scenarios and no-command testing (lines 123-197 in reference file)
  • Clear "no-command" constraint handling: skill documents priority hierarchy for discovery (MCP tools first, then mock references, then explain commands to user)
  • Limitation of scope well-documented: skill requires specific IAM roles (roles/file.viewer for read, roles/file.editor for backup creation) and billing account attachment
  • Remediation commands are attributed and location-aware: gcloud backup creation commands correctly differentiate between zonal (--instance-zone) and regional (--instance-location) flags
Model: claude-haiku-4-5-20251001Analyzed: Sep 9, 2026

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