data-quality-frameworks

Implement data quality validation with Great Expectations, dbt tests, and data contracts. Use when building data quality pipelines, implementing validation rules, or establishing data contracts.

1.84x

Quality

66%

Does it follow best practices?

Impact

94%

1.84x

Average score across 3 eval scenarios

Securityby

Passed

No known issues

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npx tessl skill review --optimize ./tests/ext_conformance/artifacts/agents-wshobson/data-engineering/skills/data-quality-frameworks/SKILL.md

Evaluation results

82%

17%

Inventory Data Quality Setup

GX expectation suite and checkpoint config

Criteria

Without context

With context

GX library import

100%

ExpectationSuite class

75%

100%

Primary key dual check

100%

Schema check with exact_match False

100%

Categorical set expectation

100%

Strict minimum for price

100%

Dateutil parseable check

100%

Dynamic freshness check

Row count sanity

71%

Statistical distribution check

Checkpoint run_name_template

100%

Checkpoint standard actions

37%

100%

Fail on validation error

66%

100%

23%

Sales Analytics dbt Test Coverage

dbt test suite with custom and generic tests

Criteria

Without context

With context

dbt_utils.recency test

100%

dbt_utils.at_least_one test

100%

dbt_utils.expression_is_true for business rule

100%

FK relationships test

100%

Email regex validation

40%

100%

Generic test macro syntax

100%

Generic test returns 0 rows on pass

100%

Singular test location

100%

Singular test zero-row pass

100%

Primary key coverage

100%

accepted_values for status

100%

68%

Formalizing the Payments Data Asset

Data contract YAML and quality pipeline orchestration

Criteria

Without context

With context

Contract apiVersion

100%

Contract kind field

100%

Metadata owner field

100%

Metadata contact field

28%

100%

Terms section

100%

SodaCL quality type

100%

Quality freshness check

100%

SLA section completeness

12%

100%

DataQualityPipeline class

22%

100%

QualityResult dataclass

77%

100%

Fail-fast ValueError

100%

Report before raise

60%

100%

Repository: Dicklesworthstone/pi_agent_rust
Commit: 47823e3

Evaluated: about 1 month ago
Agent: Claude Code
Model: Claude Sonnet 4.6

Table of Contents

Inventory Data Quality Setup Sales Analytics dbt Test Coverage Formalizing the Payments Data Asset

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