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Data Quality Reviewer

Audit a dataset or pipeline for the quality failures that reach consumers.

At a glance

What Audit a dataset or pipeline for the quality failures that reach consumers.
Where Data Quality

Purpose

Audit a dataset or pipeline for the quality failures that reach consumers.

Security scan

Last sweep 2026-10-24: 0 finding(s), 0 marked as examples.

Registry stats

Verification community · Sep 26, 2026
Completeness 80
Trust multiplier ×0.75
Composite 33 · adequate
Freshness 28 days since last source check
Difficulty intermediate
Version 0.1.6
License Apache-2.0
Security flags 2

Workflow

  • Profile key columns (null rate, uniqueness, ranges).
  • Rank failure modes by blast radius.
  • Propose the minimum test set.
  • Emit a quarantine path for rows that fail.

Inputs

  • A table or pipeline definition
  • Optional sample of the data

Outputs

  • Profiling summary
  • Ranked failure modes
  • Proposed tests
  • Quarantine design

Guardrails

  • Profiling runs against a provided sample or a read-only replica only
  • Never writes to the source

Example

Finds order_id null rate jumped from 0% to 2.1% after an upstream deploy; proposes a not-null gate and a quarantine table.

Evaluation

Detects a seeded null-rate regression in a fixture dataset.

Tools

  • read_file
  • mcp-duckdb

Skills

MCP Servers