Skip to content
TrustedSkillsbeta
Back to all skills

Google Cloud

Checked
dauquangthanh·vlatest·cloud·MIT

This skill allows you to interact with Google Cloud services via a conversational interface, simplifying deployment and management tasks.

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add dauquangthanh/hanoi-rainbow --skill google-cloud -a claude-code
  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

dauquangthanh

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned dauquangthanh/hanoi-rainbow at 0e2ebaea02.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Scanned
1 file, 168 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

This skill allows AI agents to interact with Google Cloud services. It can be used to manage resources, analyze data stored in Google Cloud Storage, and execute tasks within a Google Cloud environment. The agent can leverage this skill to automate workflows and provide insights based on data residing in Google Cloud.

When to use it

  • Automating backups of data stored in Google Cloud Storage.
  • Analyzing log files from Google Compute Engine instances.
  • Deploying new applications or services within a Google Kubernetes Engine cluster.
  • Retrieving information about resource usage and costs in your Google Cloud project.

Key capabilities

  • Google Cloud Resource Management
  • Data Analysis (Google Cloud Storage)
  • Task Execution (within Google Cloud environment)
  • Workflow Automation

Example prompts

  • "List all the buckets in my Google Cloud Storage account."
  • "Deploy a new container to my Kubernetes cluster named 'my-app'."
  • "Analyze the error logs from my web server and identify any recurring issues."
  • "What is the current cost of running my virtual machines?"

Tips & gotchas

  • Requires proper authentication credentials configured for your Google Cloud project.
  • The agent's access will be limited to the permissions granted to the associated service account or user.