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data-quality

Schema-level data quality monitoring, table comparison, dataset popularity analysis, and ad-hoc column quality assessment using Snowflake Data Metric…

Skill by Heath-Moose

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Install

Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

npx agentmarket install skill/heath-moose-data-quality

Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.

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About

Schema-level data quality monitoring, table comparison, dataset popularity analysis, and ad-hoc column quality assessment using Snowflake Data Metric Functions (DMFs) and Access History. Use when user asks about: data quality, schema health, DMF results, quality score, trust my data, quality regression, quality trends, SLA alerting, data metric functions, failing metrics, quality issues, compare tables, data diff, validate migration, table comparison, popular tables, most used tables, unused data, dataset usage, table popularity, listing quality, listing health, listing freshness, provider data quality, consumer data quality, one-time quality check, quick quality scan, check data quality without DMFs, recommend monitors, what should I monitor, DQ coverage gaps, unmonitored tables, DMF coverage report, monitoring health, noisy monitors, silent monitors, misconfigured monitors, DMF cost optimization, investigate DQ incident, why did freshness drop, why did row count drop, correlate violation, multi-dimensional root cause, circuit breaker, pause pipeline on violation, halt bad data propagation, custom DMF, format validation DMF, email format check, value range check, referential integrity DMF, DMF expectations, set threshold, tune DMF threshold, DMF expectation management, attach DMFs, set up DMFs for first time, DMF setup wizard, accepted values, ACCEPTED_VALUES, validate column values, allowed values check, value in set, categorical validation.

Use cases: documents, testing, data, marketing

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Permissions

What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.

Tools
No tools found
Secrets
None asked for
Install scripts
None found

Network hosts it talks to 1

  • codeload.github.com · found in install command

Files it touches

  • ~/.claude/skills/data-quality

What's inside

Skill name
data-quality
Description
Schema-level data quality monitoring, table comparison, dataset popularity analysis, and ad-hoc column quality assessment using Snowflake Data Metric Functions (DMFs) and Access History. Use when user asks about: data quality, schema health, DMF results, quality score, trust my data, quality regression, quality trends, SLA alerting, data metric functions, failing metrics, quality issues, compare tables, data diff, validate migration, table comparison, popular tables, most used tables, unused data, dataset usage, table popularity, listing quality, listing health, listing freshness, provider data quality, consumer data quality, one-time quality check, quick quality scan, check data quality without DMFs, recommend monitors, what should I monitor, DQ coverage gaps, unmonitored tables, DMF coverage report, monitoring health, noisy monitors, silent monitors, misconfigured monitors, DMF cost optimization, investigate DQ incident, why did freshness drop, why did row count drop, correlate violation, multi-dimensional root cause, circuit breaker, pause pipeline on violation, halt bad data propagation, custom DMF, format validation DMF, email format check, value range check, referential integrity DMF, DMF expectations, set threshold, tune DMF threshold, DMF expectation management, attach DMFs, set up DMFs for first time, DMF setup wizard, accepted values, ACCEPTED_VALUES, validate column values, allowed values check, value in set, categorical validation.
License
unknown
Instructions
298 lines in SKILL.md · view on GitHub

Agent Skills spec issues

  • description: longer than 1024 characters

Files (52)

  • SKILL.md
  • Principles.md · reference/
  • Principles.md · reference/compare-tables/
  • compare-tables-concepts.md · reference/compare-tables/
  • dmf-concepts.md · reference/
  • adhoc-column-quality.sql · templates/
  • check-context.sql · templates/
  • check-dmf-status.sql · templates/
  • check-dq-monitoring-enabled.sql · templates/
  • circuit-breaker-setup.sql · templates/
  • added-rows.sql · templates/compare-tables/
  • aggregate-comparison.sql · templates/compare-tables/
  • distribution-categorical.sql · templates/compare-tables/
  • distribution-numeric.sql · templates/compare-tables/
  • exact-match.sql · templates/compare-tables/
  • modified-rows.sql · templates/compare-tables/
  • removed-rows.sql · templates/compare-tables/
  • row-count-comparison.sql · templates/compare-tables/
  • schema-comparison.sql · templates/compare-tables/
  • summary-diff.sql · templates/compare-tables/
  • coverage-gaps-summary.sql · templates/
  • custom-dmf-create.sql · templates/
  • expectations-review.sql · templates/
  • monitor-effectiveness.sql · templates/
  • monitor-recommendations.sql · templates/
  • preflight-check.sql · templates/
  • schema-health-snapshot-realtime.sql · templates/
  • schema-health-snapshot.sql · templates/
  • schema-quality-trends.sql · templates/
  • schema-regression-detection.sql · templates/
  • schema-root-cause-realtime.sql · templates/
  • schema-root-cause.sql · templates/
  • schema-sla-alert.sql · templates/
  • adhoc-assessment.md · workflows/
  • circuit-breaker.md · workflows/
  • compare-tables.md · workflows/
  • distribution-analysis.md · workflows/compare-tables/
  • row-level-diff.md · workflows/compare-tables/
  • schema-comparison.md · workflows/compare-tables/
  • summary-diff.md · workflows/compare-tables/
  • validation-report.md · workflows/compare-tables/
  • coverage-gaps.md · workflows/
  • custom-dmf-patterns.md · workflows/
  • dq-incident-investigation.md · workflows/
  • expectations-management.md · workflows/
  • health-scoring.md · workflows/
  • monitor-recommendations.md · workflows/
  • popularity.md · workflows/
  • regression-detection.md · workflows/
  • root-cause-analysis.md · workflows/
  • sla-alerting.md · workflows/
  • trend-analysis.md · workflows/

The license isn't open source, so the instructions aren't shown here. Read SKILL.md on GitHub

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Last commit (this folder)
Mar 26, 2026 (7 months ago)
Last release
Mar 26, 2026 (7 months ago)

From GitHub (fetched Oct 24, 2026).

Details

License
License unknown
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

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data-quality skill. Agent Mart. https://agentmart.dev/skills/heath-moose-data-quality (last updated 2026-10-24)