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Bigquery Pipeline Audit

Official
github·vlatest·data·MIT

Official github skill covering pipeline automation, auditing for automating DevOps pipelines and CI/CD workflows.

Repository

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 github/awesome-copilot --skill bigquery-pipeline-audit -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

github

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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

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  • No credential access: passed

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  • Pinned to a commit: passed

    Scanned github/awesome-copilot at 6c4d33b9cf.

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Commit
6c4d33b9cf
Manifest
skills/bigquery-pipeline-audit/SKILL.md
Scanned
1 file, 130 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

The bigquery-pipeline-audit skill enables users to audit and analyze data pipelines in Google BigQuery. It helps identify inefficiencies, track query performance, and ensure compliance with best practices for data processing workflows.

When to use it

  • To review the efficiency of existing BigQuery jobs and optimize resource usage.
  • Before deploying a new pipeline to verify that it adheres to organizational standards.
  • To troubleshoot slow or failing queries by analyzing execution logs and metadata.
  • As part of a regular maintenance routine for data engineering teams managing large-scale pipelines.

Key capabilities

  • Analyzes query performance metrics
  • Identifies unused or redundant datasets
  • Tracks pipeline execution history
  • Detects potential compliance issues

Example prompts

  • "Audit the BigQuery pipeline for inefficiencies in the 'sales' dataset."
  • "Review the last 30 days of pipeline executions and flag any anomalies."
  • "Check if all queries in this project follow best practices for data governance."

Tips & gotchas

  • Ensure you have proper access to BigQuery logs and metadata before running an audit.
  • Audit results may vary based on the complexity and scale of your pipelines, so review findings carefully.