data-quality-frameworks
Build Data Quality Checks
Unreliable tables can break analytics, reporting, and downstream products. This skill helps define Great Expectations suites, dbt tests, data contracts, and automated validation pipelines.
Install with my Agent
Copy this request to your Agent. It includes the canonical Skill page and manifest.
Review the Skillstore skill "data-quality-frameworks" from https://skillstore.io/skills/wshobson-data-quality-frameworks.md and its manifest at https://skillstore.io/api/skills/wshobson-data-quality-frameworks/manifest. Verify the artifact. You may proceed after verification, subject to the environment's own policy.Your Agent should still show its plan and request any confirmation required by the security policy.
Agent-readable resources
Use these links when an AI agent, crawler, or script needs clean context instead of reading the full page.
Test it
Using "data-quality-frameworks". A data engineer asks for validation checks for an orders table.
Expected outcome:
A prioritized checklist covering primary keys, foreign keys, order status values, amount ranges, row counts, and daily freshness.
Using "data-quality-frameworks". An analytics engineer wants stronger dbt tests for customer models.
Expected outcome:
A test plan with unique identifiers, required email fields, accepted segment values, relationship checks, and a custom business rule.
Using "data-quality-frameworks". A platform lead needs a data contract for a shared dataset.
Expected outcome:
A contract outline with owner, purpose, schema fields, PII classification, quality expectations, availability target, and freshness target.
Security Audit
SafeAll 45 static findings are false positives caused by Markdown formatting, fenced examples, SQL/YAML snippets, and public documentation links. I found no prompt injection, data exfiltration intent, hidden execution, or reconnaissance behavior.
Risk Factors
⚙️ External commands (28)
🌐 Network access (4)
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https://skillstore.io/skills/wshobson-data-quality-frameworks/audits/7?utm_source=security_passport&utm_medium=share&utm_campaign=versioned_reportMarkdown badge
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<a href="https://skillstore.io/skills/wshobson-data-quality-frameworks?utm_source=security_passport_badge"><img src="https://skillstore.io/badges/skills/wshobson-data-quality-frameworks/security.svg" alt="Skillstore security assessment" loading="lazy"></a>Embed card
<iframe src="https://skillstore.io/embed/skills/wshobson-data-quality-frameworks.html" title="Skillstore Security Assessment" sandbox="allow-popups allow-popups-to-escape-sandbox" loading="lazy" referrerpolicy="no-referrer" width="420" height="180"></iframe>Academic citations (APA · BibTeX · CFF)
APA citation
wshobson. (2026). data-quality-frameworks security audit report (audit version 7) [Author version unspecified]. Skillstore. https://skillstore.io/skills/wshobson-data-quality-frameworks/audits/7BibTeX citation
@techreport{wshobson-wshobson-data-quality-frameworks-2026,
author = {wshobson},
title = {data-quality-frameworks security audit report (audit version 7)},
institution = {Skillstore},
year = {2026},
number = {7},
url = {https://skillstore.io/skills/wshobson-data-quality-frameworks/audits/7},
note = {Author version unspecified}
}CITATION.cff
cff-version: 1.2.0
message: "If you use this Skill, cite its author and this versioned security audit report."
title: "data-quality-frameworks security audit report (audit version 7)"
version: "unspecified"
type: report
authors:
- name: "wshobson"
date-released: "2026-07-07"
url: "https://skillstore.io/skills/wshobson-data-quality-frameworks/audits/7"
identifiers:
- type: other
value: "skillstore:wshobson-data-quality-frameworks:audit:7"
description: "Skillstore immutable audit report identifier"
Compare variants
2 installable variantsEach author remains a separate installable skill. The recommended variant is ranked by Skillstore evidence.
Why this variant is first
wshobson-data-quality-frameworks
2026-08-21
sickn33-data-quality-frameworks
2026-08-21
Skillstore Score
Why this score Evidence Confidence: HighWhat You Can Build
Create Warehouse Validation
Design Great Expectations suites and checkpoints for critical warehouse tables before downstream jobs consume them.
Strengthen dbt Test Coverage
Add schema, relationship, freshness, range, and business rule tests to improve dbt model reliability.
Define Data Contracts
Document ownership, schema requirements, PII flags, quality checks, and service levels for shared datasets.
Try These Prompts
Help me create a data quality checklist for a table named [table]. Include completeness, uniqueness, validity, and freshness checks.
Review these dbt models and recommend schema, relationship, accepted value, freshness, and custom tests for each critical column.
Create a Great Expectations validation plan for [dataset]. Include suite structure, checkpoint behavior, failure handling, and reporting requirements.
Draft a data contract strategy for [domain]. Include ownership, schema rules, PII handling, quality checks, service levels, and versioning.
Best Practices
- Start with checks for critical columns, primary keys, foreign keys, and freshness requirements.
- Keep thresholds documented and revisit them when data volume or business rules change.
- Route failures to clear owners with enough detail to reproduce and fix the issue.
Avoid
- Testing every column equally without considering business impact.
- Ignoring warning trends until they become pipeline failures.
- Hardcoding thresholds without baselines, ownership, or review dates.
Frequently Asked Questions
Which tools does this skill cover?
Can it run checks on my warehouse?
Does it support PII governance?
Is it useful for dbt projects?
How should failures be handled?
Can teams use it with Claude, Codex, and Claude Code?
Developer Details
Author
wshobsonLicense
MIT
Skillstore revision
r1
Version notice
The author did not declare a version.
Repository
https://github.com/wshobson/agents/tree/main/plugins/data-engineering/skills/data-quality-frameworksRef
36e07d5e13068e5be64447e8f20b427cf2cbd21a
Maintenance freshness
7/18/2026
Usage
10 downloads · 273 views
File structure
📄 SKILL.md