What is bigquery-conversational-analytics?

A BigQuery connector for querying datasets and turning the returned data into insights. BigQuery is Google's cloud service for storing and analysing large datasets.

Use it to connect to a Google Cloud project, run queries, limit the number of returned rows, and examine data insights.

It lets you work with BigQuery data without manually switching between tools or writing every query from scratch.

bigquery-conversational-analytics — Plugin for Gemini CLI by gemini-cl

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.

Clone the repo

git clone --depth 1 https://github.com/gemini-cli-extensions/bigquery-conversational-analytics

Made for: Gemini CLI.

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.

README.md

[![agentmods](https://agentmods.dev/badge/plugins/gemini-cli-extensions/bigquery-conversational-analytics/gemini-extension/github.svg)](https://agentmods.dev/plugins/gemini-cli-extensions/bigquery-conversational-analytics/gemini-extension)

Your own site

<a href="https://agentmods.dev/plugins/gemini-cli-extensions/bigquery-conversational-analytics/gemini-extension"><img src="https://agentmods.dev/badge/plugins/gemini-cli-extensions/bigquery-conversational-analytics/gemini-extension/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.

Your own site · 80×15

<a href="https://agentmods.dev/plugins/gemini-cli-extensions/bigquery-conversational-analytics/gemini-extension"><img src="https://agentmods.dev/badge/plugins/gemini-cli-extensions/bigquery-conversational-analytics/gemini-extension.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session not measured What this adds to a session before it is invoked.

When invoked not measured Not applicable: nothing here is loaded into a session.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

Origin original No closer match found in the catalogue.

Security

Grade A, and why

bigquery-conversational-analytics 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 yesterday.

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.

gemini-extension.json · 41 lines

What it actually says

{
  "name": "bigquery-conversational-analytics",
  "version": "0.1.9",
  "description": "Connect, query, and generate data insights for BigQuery datasets and data.",
  "mcpServers": {
    "bigquery_conversational_analytics": {
      "command": "npx",
      "args": [
        "-y",
        "@toolbox-sdk/[email protected]",
        "--tools-file",
        "${extensionPath}${/}tools.yaml",
        "--stdio"
      ]
    }
  },
  "contextFileName": "BIGQUERY_CONVERSATIONAL_ANALYTICS.md",
  "settings": [
    {
      "name": "Project ID",
      "description": "ID of the Google Cloud project",
      "envVar": "BIGQUERY_PROJECT"
    },
    {
      "name": "Location",
      "description": "(Optional) Location of the BigQuery resources",
      "envVar": "BIGQUERY_LOCATION"
    },
    {
      "name": "Authorization Scopes",
      "description": "(Optional) Authorization scopes for Google APIs (Dataplex, Conversational API, BigQuery), comma-separated",
      "envVar": "BIGQUERY_SCOPES"
    },
    {
      "name": "Maximum Query Result Rows",
      "description": "(Optional) Maximum number of rows to return from BigQuery query results",
      "envVar": "BIGQUERY_MAX_QUERY_RESULT_ROWS"
    }
  ]
}

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.

yesterday First seen · 41 lines scan A f161818f19e0

Subscribe to this mod's changes

bigquery-conversational-analytics is a plugin published in the GitHub repository gemini-cli-extensions/bigquery-conversational-analytics (28 stars, last pushed yesterday), licensed Apache-2.0. Its token cost is not measured: this kind of file is read by the harness, not the model. 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 2026-09-12.

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bigquery-conversational-analytics

Getting it into your agent

Wrote this? Show the measurements

Grade A, and why

Nothing flagged

What it actually says

What this file has done since we first saw it

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