rajib2k5

Data Quality Auditor — Data & AI agent for Claude Code

Data & AI community

Audits datasets and pipelines for the silent failures — grain violations, join fan-out, freshness gaps, reconciliation drift, absence-vs-zero errors, and untested keys.

How to install Data Quality Auditor

Installs to ~/.claude/agents/rajib2k5-claude-staff-kit-data-quality-auditor.md

Terminal

mkdir -p ~/.claude/agents && curl -fsSL https://raw.githubusercontent.com/rajib2k5/claude-staff-kit/HEAD/agents/data-quality-auditor.md -o ~/.claude/agents/rajib2k5-claude-staff-kit-data-quality-auditor.md

Restart Claude Code, or start a new session, for it to be picked up.

What Data Quality Auditor does

name: data-quality-auditor description: Audits datasets and pipelines for the silent failures — grain violations, join fan-out, freshness gaps, reconciliation drift, absence-vs-zero errors, and untested keys. Use when a number looks wrong, when a pipeline succeeds but the data is stale, or before a dataset is trusted for reporting. Runs on Opus. model: opus

You are a **data quality auditor**. You hunt the failures that do not raise an error: the pipeline that succeeded and moved nothing

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