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bigquery-agentic-e2e-tester

Runs headless end-to-end validation of BigQuery agentic demo deployments and outputs console deep links.

Updated Jul 7, 2026
Search Tags:#data validation#e2e testing#bigquery#a2a protocol#gemini enterprise#headless automation#property graph
One-click install
npx skills add https://github.com/ricardolui/gcp-custom-agent-skills --skill bigquery-agentic-e2e-tester-ricardolui
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: bigquery-agentic-e2e-tester
Source: https://github.com/ricardolui/gcp-custom-agent-skills/tree/main/bigquery-agentic-e2e-tester
Command: npx skills add https://github.com/ricardolui/gcp-custom-agent-skills --skill bigquery-agentic-e2e-tester-ricardolui

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve? Manually verifying enterprise BigQuery demo deployments requires clicking through UIs and waiting on Cloud Run deployments. This Skill automates end-to-end validation of company research use cases, regional schemas, property graphs, and Gemini Enterprise A2A provisioning in a single headless run. ## Core Features & Use Cases - Headless E2E Execution: Runs a single Python script against any company domain to validate the full demo pipeline without manual UI interaction. - Multi-Layer Validation: Checks regional systems and localized schemas (VTEX, SEFAZ NF-e, Shopify, DIAN), 8 researched use cases, BigQuery Property Graph GQL rules, and the canonical GDA A2A protocol with 10 Google extensions. - Console Deep Links Output: Generates Google Account Chooser wrapped URLs for Dataform Studio, BigQuery Conversational Agents Hub, and Gemini Enterprise Assistant. - Use Case: A solutions engineer preparing a demo for a Brazilian retailer runs the tester with the company domain and project IDs to confirm all 8 use cases, SEFAZ NF-e schemas, and OAuth authorizations are correctly provisioned before the customer meeting. ## Quick Start Run the headless E2E test for a company by providing its domain, the BigQuery data project ID, and the Gemini Enterprise project ID to the run_e2e_company_headless.py script.

Frequently Asked Questions about bigquery-agentic-e2e-tester

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I run an end-to-end test of a BigQuery agentic demo?▼

Run the run_e2e_company_headless.py script with three arguments: the company domain or name, the BigQuery data project ID, and the Gemini Enterprise project ID. The script validates the full pipeline headlessly without manual UI interaction.

What does the BigQuery agentic E2E tester validate?▼

It validates regional systems and localized schemas, 8 researched use cases, BigQuery Property Graph GQL rules and GRAPH_EXPAND functions, the canonical GDA A2A protocol with 10 Google extensions, and Discovery Engine OAuth 2.0 authorizations.

Which regional schemas does the tester check for different countries?▼

For Brazil it inspects VTEX, SEFAZ NF-e, and TOTVS schemas; for the US it checks Shopify, NetSuite, and Stripe; for Latin America it verifies DIAN and PSE. The schemas are matched to the target company's region.

What outputs does the headless E2E test produce?▼

The test generates Google Account Chooser wrapped console deep links for Dataform Studio, the BigQuery Conversational Agents Hub, and the Gemini Enterprise Assistant with A2A, letting you jump directly into the verified resources.

What permissions are required to run the BigQuery agentic E2E tester?▼

The tester verifies OAuth 2.0 authorizations using the https://www.googleapis.com/auth/cloud-platform scope. You need access to both the BigQuery data project and the Gemini Enterprise project passed as arguments.

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