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
Chalk Labs
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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
Use cases: documents, testing, data, marketing
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
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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Signals
- Stars
- 0
- Forks
- 0
- Open issues
- 0
- 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
- Source
- GitHubgithub-graphql
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data-quality skill. Agent Mart. https://agentmart.dev/skills/heath-moose-data-quality (last updated 2026-10-24)