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google-cloud-recipe-auth

Provides expert guidance on authenticating and authorizing to Google Cloud services and APIs, covering human users, service identities, Application Default Credentials (ADC), and best practices for secure access.

Install / Use

npx skills add google/skills --skill google-cloud-recipe-auth

Installs into whichever agent you are using.

About this skill
📄

SKILL.md

Installable skill definition

Quality Score

91/100

Supported Platforms

Universal

Our assessment of google-cloud-recipe-auth

google-cloud-recipe-auth scores 91/100 on our quality scale, 306th of 1,937 Development & Engineering skills we index (top 16%).

Its SKILL.md is 12 KB long, well organised into 23 sections and no code examples: a thorough specification that gives an agent plenty to work with.

With 20,340 GitHub stars, it is one of the more widely adopted skills in the catalogue.

Substance
30/30
Structure
13/20
Description
15/15
Adoption
18/20
Freshness
15/15

Maintenance, license and trust

  • The repository was last updated 2 days ago, so google-cloud-recipe-auth is actively maintained.
  • It is released under the Apache-2.0 license, a permissive license that allows use, modification and commercial use with attribution.
  • Its trust signals score 100/100, with no cautions. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.

Safety scan

No issues found

Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands.

Automated pattern scan on 2026-09-26. It catches known dangerous patterns, not every risk — read a skill before letting an agent act on it.

google-cloud-recipe-auth compared with similar skills

All 4 of these similar skills score higher than google-cloud-recipe-auth; compare them before choosing.

SkillScoreStarsUpdatedFormat
google-cloud-recipe-auth (this skill)by google9120.3k2d agoSKILL.md
Agent-Reachby Panniantong10085.4k10d agoCLAUDE.md
headroomby headroomlabs-ai10073.8ktodayCLAUDE.md
ai-job-searchby MadsLorentzen10044.0k4d agoCLAUDE.md
claude-howtoby luongnv8910041.7k6d agoCLAUDE.md

Frequently asked questions

How do I install google-cloud-recipe-auth?
Run npx skills add google/skills --skill google-cloud-recipe-auth. The install tabs above show the steps for each supported agent.
Which AI agents does google-cloud-recipe-auth work with?
It is written for Universal, as a SKILL.md file. Other agents that read the same format can often use it too.
Is google-cloud-recipe-auth safe to use?
Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. It is Apache-2.0-licensed and scores 100/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
Is google-cloud-recipe-auth still maintained?
The repository was last updated 2 days ago, so google-cloud-recipe-auth is actively maintained.

name: google-cloud-recipe-auth metadata: version: "1.0.0" category: GettingStarted description: Provides expert guidance on authenticating and authorizing to Google Cloud services and APIs, covering human users, service identities, Application Default Credentials (ADC), and best practices for secure access.

Authenticating to Google Cloud

Authentication is the process of proving who you are. In Google Cloud, you represent a Principal (an identity like a user or a service). This is the first step before Authorization (determining what you can do).

Authentication

Clarifying Questions for the Agent

Before providing a specific solution, clarify the following with the user:

  1. Who or what is authenticating? (A human developer, a local script, or an application running in production?)
  2. Where is the code running? (Local laptop, Compute Engine, GKE, Cloud Run, or another cloud like AWS/Azure?)
  3. What is the target? (A Google Cloud API like Storage/BigQuery, or a custom application you built?)
  4. Are you using a high-level client library? (e.g., Python, Go, Node.js libraries usually handle ADC automatically.)

Human Authentication

For users to access Google Cloud, they need an identity that Google Cloud can recognize.

Types of User Identities

Google Cloud supports several ways to configure identities for your internal workforce (developers, administrators, employees):

  • Google-Managed Accounts: You can use Cloud Identity or Google Workspace to create managed user accounts. These are called managed accounts because your organization controls their lifecycle and configuration.
  • Federation using Cloud Identity or Google Workspace: You can federate identities to allow users to use their existing identity and credentials to sign in to Google services. Users authenticate against an external identity provider (IdP), but you must keep accounts synchronized into Google Cloud using tools like Google Cloud Directory Sync (GCDS) or an external authoritative source like Active Directory or Microsoft Entra ID.
  • Workforce Identity Federation: This lets you use an external IdP to authenticate and authorize a workforce using IAM directly. Unlike standard federation, you do not need to synchronize user identities from your existing IdP to Google Cloud identities. It supports syncless, attribute-based single sign-on.

Methods of Access for Developers and Administrators

Used for interacting with Google Cloud resources and APIs during development and management.

  • Google Cloud Console: The primary web interface. You authenticate using your Google Account (Gmail or Google Workspace).
  • gcloud CLI (gcloud auth login): Used to authenticate the CLI itself so you can run management commands (e.g., gcloud compute instances list). It uses a Credential (like an OAuth 2.0 refresh token) stored locally.
  • Local Development with App Default Credentials (ADC) (gcloud auth application-default login): This is different from CLI auth. It creates a local JSON file that Google Cloud Client Libraries (Python, Java, etc.) use to act as "you" when you run code on your laptop.
  • Service Account Impersonation: For security reasons, developers should avoid downloading Service Account keys entirely. Instead, they should authenticate as humans (gcloud auth login) and use Service Account Impersonation to run CLI commands or generate short-lived credentials. This is a critical best practice for local development and troubleshooting.

For End-Users and Customers

Used when a human (who is not a developer) needs to access a web application you've deployed on Google Cloud. Note: These are distinct from workforce identities.

  • Identity-Aware Proxy (IAP): Acts as a central authorization layer for web applications. It intercepts web requests and verifies the user's identity (via Google Workspace, Cloud Identity, or external providers) before letting them reach the application. It's often used to protect internal apps without a VPN, or secure customer portals.
  • Identity Platform: A Customer Identity and Access Management (CIAM) solution for adding consumer sign-in (email/password, phone, social) directly into the code of your custom-built applications.

Service-to-Service Authentication

When code runs in production, it should use a Service Account rather than a human user account.

Service Accounts and Service Agents

  • Service Account: A special identity intended for non-human users. It's like a "robot identity" with its own email address.
  • Service Agent: A service account managed by Google that allows a service (like Pub/Sub) to access your resources on your behalf.

Best Practice: Attaching Service Accounts

Instead of using Service Account Keys (dangerous JSON files), you should attach a custom service account to the Google Cloud resource. The resource's environment then provides a Token (a short-lived digital object) via a local metadata server.

  • Compute Engine: Assign a service account during VM creation.
  • Cloud Run: Assign a service account in the service configuration.

Special Cases & Advanced Topics

Kubernetes Engine (GKE)

Use Workload Identity Federation for GKE to map Kubernetes identities to IAM principal identifiers. This grants specific Kubernetes workloads access to specific Google Cloud APIs. Learn more here.

External Workloads (Workload Identity Federation)

For code running outside Google Cloud (e.g., AWS, Azure, or on-prem), do not use keys. Instead, use Workload Identity Federation to exchange an external token (like an AWS IAM role) for a short-lived Google Cloud access token.

API Keys

API keys are encrypted strings used for public data (e.g., Google Maps) or simplified access like Vertex AI Express Mode, which allows fast testing of Gemini models without complex setup. Both humans and services (e.g., Cloud Run-based AI agent) can use API keys, for the services that support it.

Note: API keys should be restricted to specific APIs and projects to minimize security risks. Store API keys in a secrets manager like Secret Manager to prevent accidental exposure.

OAuth 2.0 Access Scopes

While IAM is the modern way to handle authorization, legacy Compute Engine VMs and GKE node pools still rely on Access Scopes alongside IAM. If a VM's scope is restricted, the attached service account will fail to make API calls even if it has the correct IAM permissions. Check this first if attached service accounts are failing unexpectedly.

Short-Lived Credentials

The underlying mechanism for impersonation and secure service-to-service communication is the IAM Service Account Credentials API. This API generates short-lived access tokens, OpenID Connect (OIDC) ID tokens, or self-signed JSON Web Tokens (JWTs) dynamically, removing the need for static credentials.


Authorization

After Authentication, Google Cloud uses Identity and Access Management (IAM) to determine what the authenticated principal can do.

  • Allow Policy: A record that binds a Principal to a Role on a Resource.
  • Predefined Roles: Prebuilt roles like roles/storage.objectViewer or roles/bigquery.dataEditor. Always try to use these first.
  • Custom Roles: User-defined collections of specific permissions if predefined roles are too broad.

Examples

Human-to-Service (Local Python Development)

  1. Authn: Run gcloud auth application-default login to create local credentials (ADC).
  2. Authz: Grant your email the roles/storage.objectViewer role on a bucket.
  3. Code: Use the Python storage.Client(). It automatically finds your local credentials via ADC. Note: ADC searches in a specific order—first checking the GOOGLE_APPLICATION_CREDENTIALS environment variable, then the local gcloud JSON file, and finally the attached service account metadata server.

Service-to-Service (Cloud Run to Cloud SQL)

  1. Authn: Attach a custom Service Account to your Cloud Run service.
  2. Authz: Grant that Service Account the roles/cloudsql.client role on the project.
  3. Code: The Cloud Run environment provides the token automatically to the connection driver.

Calling a Custom Application (OIDC)

When calling a private Cloud Run service from another service, the caller generates a Google-signed OpenID Connect (OIDC) ID Token and passes it in the Authorization: Bearer <TOKEN> header.


Validation Checklist

  • [ ] Is the user running code locally? Suggest gcloud auth application-default login or Service Account Impersonation.
  • [ ] Is the user attempting to use Service Account keys locally? Strongly discourage this and recommend impersonation.
  • [ ] Is the user running in production? Recommend attaching a custom, least-privilege service account, NOT using keys.
  • [ ] Is the user relying on the Compute Engine Default Service Account? Recommend creating a custom service account instead.
  • [ ] Is the user running on another cloud? Recommend Workload Identity Federation.
  • [ ] Is the user calling a custom app? Recommend OIDC ID Tokens.
  • [ ] Has the user restricted their API Keys? Check for appropriate API Key Restrictions.

References

Truncated for display — read the full file on GitHub.

Related Skills

View on GitHub
GitHub Stars20.3k
CategoryDevelopment
Updated2d ago
Forks1.7k

Languages

Python

Trust signals

100/100

From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.

No cautions