google-cloud-filestore-nfs-browser

google-cloud-filestore-nfs-browser is a skill for Claude Code, Codex from google/skills. It costs 82 tokens per session (2,822 once invoked), scanned A, original, Apache-2.0.

A browser for files and metadata on Google Cloud Filestore, a managed network file system. It can inspect NFS shares remotely without installing local NFS tools, using root privileges, or manually mounting the network.

In plain words
What is it for?
Discovering Filestore instances, searching and reading files, and checking POSIX file attributes and remote logs.
Why use it?
It removes the need to set up an NFS client or mount the share locally just to inspect files and logs.

Skill for Claude CodeCodex ✓ vendor

Written for no agent in particular: nothing here depends on one. Also seen: positional $N argument.

Good fit Discovering Filestore instances, searching and reading files, and checking POSIX file attributes and remote logs.

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Install with agentmods
npx agentmods add skills/google/skills/google-cloud-filestore-nfs-browser
About the project

google/skills is a collection of Agent Skills that guide AI agents in using Google products and technologies, including Google Cloud services. Developers and agents use these reusable workflows for tasks such as cloud authentication, data analysis, application deployment, and AI platform management. The catalogue entries are skills, plugins, and an MCP integration from this collection.

google/skills · 19,729 stars · on GitHub

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add google/skills --skill google-cloud-filestore-nfs-browser
Clone the repo
git clone --depth 1 https://github.com/google/skills

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for google-cloud-filestore-nfs-browser

README.md
[![agentmods](https://agentmods.dev/badge/skills/google/skills/google-cloud-filestore-nfs-browser/github.svg)](https://agentmods.dev/skills/google/skills/google-cloud-filestore-nfs-browser)
Your own site
<a href="https://agentmods.dev/skills/google/skills/google-cloud-filestore-nfs-browser"><img src="https://agentmods.dev/badge/skills/google/skills/google-cloud-filestore-nfs-browser/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for google-cloud-filestore-nfs-browser

Your own site · 80×15
<a href="https://agentmods.dev/skills/google/skills/google-cloud-filestore-nfs-browser"><img src="https://agentmods.dev/badge/skills/google/skills/google-cloud-filestore-nfs-browser.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 82 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,822 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00082 $0.02822
Opus 5 $0.00041 $0.01411
Sonnet 5 $0.00016 $0.00564
Haiku 4.5 $0.00008 $0.00282

Measured 4d ago against content hash e232e214e9b3, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

google-cloud-filestore-nfs-browser scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 4d ago.

The scan reads SKILL.md. This mod also ships 6 executable files (scripts/bridge_server/main.py, scripts/deploy_bridge.sh, scripts/formatters.py, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/cloud/google-cloud-filestore-nfs-browser/SKILL.md · 279 lines

How it starts

The opening of the file, as written. The whole thing — 279 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Google Cloud Filestore NFS File Browser

Enables autonomous agents and cloud engineers to inspect, search, and read files located on Google Cloud Filestore (NFS) instances without needing local NFS client packages (nfs-common), root privileges, or manual VPC network mounting.

Quick Start

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

  2. Enable essential APIs:

    gcloud services enable file.googleapis.com compute.googleapis.com run.googleapis.com --quiet
    
  3. Discover instances and choose an execution engine (see Execution Engine Selection below).

  4. Run inspection actions using the self-contained runner scripts/nfs_browser.py included within this skill package.

Attribution

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

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

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

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

Conceptual & Informational Queries (CRITICAL)

For purely conceptual, educational, or architectural questions (e.g., "How do I inspect files on Filestore?", "How to deploy the Serverless Cloud Run NFS Bridge?", "Explain Cloud Run NFS volume mounts"):

  • Rule: Answer immediately using your pre-trained knowledge and the documentation below. Answering directly minimizes tool invocation latency and token consumption when the user only seeks architecture or workflow guidance.
  • Constraint: Do not execute external tool calls or API requests for basic knowledge questions.
  • Bridge Deployment Explanations: Always highlight that Cloud Run scales to zero with $0 idle compute cost, detail the gcloud run deploy command with --add-volume and --vpc-egress=all-traffic, and specify the required IAM permissions (roles/run.invoker for callers and roles/run.admin for deployers).

Read the full file on GitHub · 279 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 4d ago First seen · 279 lines · 82 tokens per session scan A e232e214e9b3

Subscribe to this mod's changes

google-cloud-filestore-nfs-browser is a skill published in the GitHub repository google/skills (19,729 stars, last pushed today), licensed Apache-2.0. It adds 82 tokens to every session and 2,822 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-06.

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