data-quality

v0.1.1

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.

Claude Code4 Skills

By ScaleVector GmbHLicense: https://github.com/dlt-hub/dlthub-ai-workbench/blob/master/LICENSE59 GitHub starsUpdated 5 days ago

Directory evidence

Runtimes: Claude Code
Parsed components: 4 skill or MCP entries
Source updated: Sep 18, 2026
Manifest status: Canonical path parsed

The directory validates manifest shape and source location. It does not execute the plugin or provide a security endorsement. Review the indexing methodology →

Install data-quality for Claude Code

Installs for the current user

claude plugin marketplace add IchenDEV/agent-plugin-mkt
claude plugin marketplace update agent-plugin-marketplace
claude plugin install data-quality@agent-plugin-marketplace

Paste and run these commands in a terminal with Claude Code. They add and refresh the PluginsMP catalog, then install this plugin.

The installer fetches third-party code from the source repository shown on this page. This directory validates manifest structure and source location, but does not perform a security audit; review the manifest, components, and source before installing.

Get the source manually

$ git clone https://github.com/dlt-hub/dlthub-ai-harness

Clone the source repository, then follow its setup instructions to add the plugin to a compatible client. The plugin root is workbench/data-quality/.

Plugin files

workbench/data-quality/

├── .claude-plugin/plugin.json
├── skills/define-data-quality-checks/SKILL.md
├── skills/review-data-quality/SKILL.md
├── skills/run-data-quality/SKILL.md
└── skills/setup-data-quality/SKILL.md

Included Skills4

define-data-quality-checksskills/define-data-quality-checks/SKILL.md

Use when the user asks to "define checks", "add validation rules", "what checks should I add", "translate requirements into checks", or wants to map schema hints or business rules to dlthub data quality check and metric calls for a specific pipeline or table. Do NOT use to run checks (use run-data-quality) or to set up the pipeline environment (use setup-data-quality).

review-data-qualityskills/review-data-quality/SKILL.md

Use when the user asks to "review data quality results", "what failed", "show me data quality results", "analyze check results", "investigate data quality failures", or wants to understand check and metric outcomes from a pipeline run. Do NOT use to run new checks (use run-data-quality).

run-data-qualityskills/run-data-quality/SKILL.md

Use when the user asks to "run data quality checks", "execute checks", "run my data quality checks", "check the data now", "run validations", or wants to execute already-defined checks against a loaded pipeline. Do NOT use to define new checks (use define-data-quality-checks) or to review existing results (use review-data-quality).

setup-data-qualityskills/setup-data-quality/SKILL.md

Use when the user asks to "set up data quality", "enable data quality checks", "add data quality to my pipeline", "validate my pipeline data", "I want to check data quality", "check my tables for issues", or wants to start any data quality workflow on a dlt pipeline. Do NOT use for exploring or charting data (use data-exploration toolkit), running existing checks (use run-data-quality), or reviewing results (use review-data-quality).

Plugin manifests1

workbench/data-quality/.claude-plugin/plugin.json

{
  "name": "data-quality",
  "description": "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.",
  "version": "0.1.1",
  "author": {
    "name": "ScaleVector GmbH"
  },
  "homepage": "https://dlthub.com/docs",
  "repository": "https://github.com/dlt-hub/dlthub-ai-workbench",
  "license": "https://github.com/dlt-hub/dlthub-ai-workbench/blob/master/LICENSE",
  "keywords": [
    "dlthub",
    "data-quality",
    "validation",
    "checks",
    "metrics"
  ]
}