Official agent skill

Google Cloud Filestore Auditing

by google in google/skills

Audits Filestore instances on Google Cloud across projects for disaster recovery readiness (missing or stale backups), security access governance (overly permissive NFS export rules, 0.0.0.0/0…

OfficialApache-2.0Auto-check passedDevOps & Cloud

Install Google Cloud Filestore Auditing

skills CLI
$ npx skills add google/skills --skill google-cloud-filestore-auditing -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install google/skills google-cloud-filestore-auditing --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/google/skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/cloud/google-cloud-filestore-auditing .claude/skills/google-cloud-filestore-auditing && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
google-cloud-filestore-auditing
GitHub stars
21k
Token cost
~3.8k tokens
SKILL.md length
1,312 words
Files
6 (incl. scripts, references)
Skills in repo
147
Repo updated
First seen
Licence
Apache-2.0

At a glance

Audits Filestore instances on Google Cloud across projects for disaster recovery readiness (missing or stale backups), security access governance (overly permissive NFS export rules, 0.0.0.0/0…

  • Works in 9 steps: Audit Operations (Read-Only Assessment) → Remediation Operations (Backup Creation) → MCP Tool Invocation → …
  • Assessing storage health posture
  • SKILL.md covers Prerequisites / IAM…, Quick Start, Attribution Guardrail and Conceptual & Informational…, plus 3 more sections
  • Runs Python scripts from its folder; calls gcloud; needs GOOGLE_APPLICATION_CREDENTIALS

What it does

Google Cloud Filestore Auditing is an agent skill from google/skills, published by the product's own GitHub organization. Audits Filestore instances on Google Cloud 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 ROOTSQUASH), 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…

Its SKILL.md is about 3.8k tokens, which your agent loads only when the skill is triggered. The skill folder holds 7 other files, including scripts and reference files (for example `references/audit-rules-matrix.md`, `references/backup-dr-governance.md` and `references/security-access-governance.md`).

It sits in DevOps & Cloud, covering Backup and disaster recovery and MCP servers. It works with Google Cloud and Model Context Protocol. The repository describes itself as: Agent Skills for Google products and technologies. The licence is Apache-2.0.

When your agent uses it

  • Assessing storage health posture
  • Auditing NFS export permissions
  • Identifying unprotected file shares
  • Validating zone failure domains

Example prompts

  • “Use the google-cloud-filestore-auditing skill to audit Filestore instances on Google Cloud across projects for disaster recovery readiness (missing…”
  • “/google-cloud-filestore-auditing”

Requirements

  • Python 3

Workflow steps

9 steps, taken from the step headings in SKILL.md.

  1. Audit Operations (Read-Only Assessment)
  2. Remediation Operations (Backup Creation)
  3. MCP Tool Invocation
  4. Cloud Authentication Setup
  5. Billing Account Attachment
  6. Discovery & Read Operations
  7. Audit Evaluation & Vector Checks
  8. Executive Posture Scoring & Grading
  9. Required Output Format

What it can do on your machine

Read from SKILL.md and the folder at commit 5120a76. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 1 file in scripts/ (Python), which the agent can run.

    Shell commands in SKILL.md call:

    • gcloud

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Links to these hosts (documentation or services it may open):

    • cloud.google.com
    • file.googleapis.com

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names these keys or tokens, usually read from environment variables:

    • GOOGLE_APPLICATION_CREDENTIALS

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Google Cloud Filestore Auditing loads about 3.8k tokens when it runs, and up to ~12k if it reads all its reference files. Until then it costs about 142 tokens; SKILL.md has 1,312 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~142
When it runs · the whole SKILL.md, loaded when a task matches
~3.8k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~12k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from google/skills at commit 5120a76, republished under its Apache-2.0 licence (© google). 1,312 words, ~3,821 tokens.

Download SKILL.mdSave it as .claude/skills/google-cloud-filestore-auditing/SKILL.md (or your agent's skills folder). This skill also uses 5 other files; get the full folder from GitHub.
name
google-cloud-filestore-auditing
description
Audits Filestore instances on Google Cloud 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.
metadata.version
1.0.1
metadata.category
Storage

Filestore Auditing Skill

This skill enables autonomous agents to audit, evaluate, and report the disaster recovery, security access governance, and architectural reliability posture of Filestore fleets across Google Cloud 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 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):
    bash
    gcloud auth login
  • Application SDKs & Scripts:
    bash
    gcloud auth application-default login
  • Automated Services & Service Accounts:
    bash
    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:
    bash
    gcloud beta billing projects describe {project_id}

Quick Start

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

  2. Authenticate your environment:

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

    bash
    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:

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

    bash
    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:

bash
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:

    bash
    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:

    bash
    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).

Show full SKILL.md (522 more words)Show less
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
markdown
## 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):

markdown
## 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
markdown
## 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:

bash
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:

© google, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 5 other files (scripts, references) in skills/cloud/google-cloud-filestore-auditing of google/skills.

  • SKILL.md
  • references/audit-rules-matrix.md
  • references/backup-dr-governance.md
  • references/security-access-governance.md
  • references/zone-isolation-pzi-pzs.md
  • scripts/filestore_audit.py

Open the folder on GitHubat commit 5120a76

Compare with similar skills

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Alloydb Basicsdavila7/claude-code-templates32k—~611Automated safety check: PassMIT
Cloud SQL Basicsdavila7/claude-code-templates32k—~810Automated safety check: PassMIT
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Categories

Questions about Google Cloud Filestore Auditing

What does Google Cloud Filestore Auditing do?

Audits Filestore instances on Google Cloud across projects for disaster recovery readiness (missing or stale backups), security access governance (overly permissive NFS export rules, 0.0.0.0/0…. Google Cloud Filestore Auditing is an agent skill from google/skills, published by the product's own GitHub organization.0/0 exposure, missing ROOTSQUASH), and reliability compliance (Physical Zone Isolation PZI and Physical Zone Separation PZS).

When should I use Google Cloud Filestore Auditing?

Google Cloud Filestore Auditing fits situations like: assessing storage health posture; auditing NFS export permissions; identifying unprotected file shares; validating zone failure domains.

How do I install Google Cloud Filestore Auditing in Claude Code?

Run `npx skills add google/skills --skill google-cloud-filestore-auditing -a claude-code`. Or copy the skill folder (skills/cloud/google-cloud-filestore-auditing in google/skills) into .claude/skills/google-cloud-filestore-auditing in your project. Claude Code loads it when a task matches its description.

How do I install Google Cloud Filestore Auditing in Codex?

Run `npx skills add google/skills --skill google-cloud-filestore-auditing -a codex`. Or copy the skill folder (skills/cloud/google-cloud-filestore-auditing in google/skills) into .agents/skills/google-cloud-filestore-auditing in your project. Codex loads it when a task matches its description.

Can I use Google Cloud Filestore Auditing in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add google/skills --skill google-cloud-filestore-auditing -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/google-cloud-filestore-auditing, .gemini/skills/google-cloud-filestore-auditing, .github/skills/google-cloud-filestore-auditing and .opencode/skills/google-cloud-filestore-auditing in your project.

What does Google Cloud Filestore Auditing need to run?

Going by SKILL.md and its folder, Google Cloud Filestore Auditing needs Python for the scripts in its folder, the command-line tools its instructions call (gcloud) and credentials named GOOGLE_APPLICATION_CREDENTIALS. Our summary lists: Python 3.

Does Google Cloud Filestore Auditing access the network?

SKILL.md names 2 domains. As links in the text: cloud.google.com and file.googleapis.com. This is read from the text; nothing was executed.

Is Google Cloud Filestore Auditing safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Google Cloud Filestore Auditing use?

Google Cloud Filestore Auditing is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Google Cloud Filestore Auditing use?

About 3.8k tokens (SKILL.md is roughly 15k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 7.9k tokens, read only when the agent opens those files.

What are the alternatives to Google Cloud Filestore Auditing?

Skills that share tags, products or a category with Google Cloud Filestore Auditing: Unraid (dinglebear-ai/unraid, 135 stars), Unifi (enuno/unifi-mcp-server, 282 stars), Alloydb Basics (davila7/claude-code-templates, 32k stars) and Cloud SQL Basics (davila7/claude-code-templates, 32k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Google Cloud Filestore Auditing?

google (a GitHub organization, an official publisher) maintains it in google/skills, which has 21,069 GitHub stars. The repository holds 147 skills in this directory. The repository was last updated on October 9, 2026.

Source: google/skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.