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data-quality

Add checks and metrics to dlt pipelines — inspect schema for candidates, define column-level validations and load metrics, run them on every pipeline load, and review results with…

Plugin bundle · by ScaleVector GmbH

About

data-quality is a plugin bundle for AI coding tools published by ScaleVector GmbH. Marketplaces we read that list it: 1 (Community GitHub marketplaces). We first saw it on 2026-10-16 and have recorded no change since. As of our marketplace pass on 2026-10-16.

In its own words, on Community GitHub marketplaces:

Add checks and metrics to dlt pipelines — inspect schema for candidates, define column-level validations and load metrics, run them on every pipeline load, and review results with failure diagnosis.

What it asks for

  • Installs as a plugin bundle

None of the marketplaces we read publishes its tools or the settings it asks for.

What it declares, asks for and runs, in full

Only install plugins from developers you trust. We list what marketplaces publish and do not test plugins.

Works with

  • Claude Code

From the marketplaces that list it and the MCP transport it declares, as each client documents them. We do not test plugins.

Connect

Commands and configs built only from what its marketplaces declare. We do not run them for you and do not test plugins.

As a Claude Code plugin

Built from what Community GitHub marketplaces declares.

Claude CodeInside a Claude Code session
/plugin marketplace add dlt-hub/dlthub-ai-harness
/plugin install data-quality@dlthub-ai-workbench

Where it is published

MarketplaceStatusVersionFiguresVerifiedFirst seen
Community marketplace dlt-hub/dlthub-ai-harness (Open the source on GitHub) Listed 0.1.1 Forks (GitHub): 5
Stars (GitHub): 62
Not marked

Each figure is the marketplace's own and is never added up across marketplaces. A marketplace that publishes no figure shows none: no number is not zero.

Listed in one community marketplace
MarketplaceRepositoryStars (GitHub)
dlthub-ai-workbench dlt-hub/dlthub-ai-harness 62

Which marketplaces we read and how we check them

What the bundle contains

As published on Community GitHub marketplaces.

Skills: 4

  • define-data-quality-checks
  • review-data-quality
  • run-data-quality
  • setup-data-quality

Rules: 2

  • dq-rules
  • workflow

What changed

  1. Became a product we track
  2. Community GitHub marketplaces: appeared

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Found by meaning, not by shared code or a shared repository: similar plugins stay separate products, and this is not a review or a recommendation.

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