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

—

Does it follow best practices?

Impact

94%

1.84x

Average score across 3 eval scenarios

Securityby

Passed

No known issues

Quality

Content

65%

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

A highly actionable single-file skill with strong executable examples across Great Expectations, dbt, and data contracts, but it is a monolithic pattern catalog that pads with conceptual material Claude already knows and lacks fix-and-retry workflow checkpoints.

Suggestions

Move each Pattern (GE suite, checkpoint, dbt tests, contracts, pipeline) into separate reference files under references/ and keep SKILL.md as a concise overview with one-level-deep links, improving progressive disclosure and conciseness.

Remove or compress the "Data Quality Dimensions" table and "Testing Pyramid" diagram, which restate concepts Claude already knows; reference the tool docs instead.

Add an explicit end-to-end workflow with validation checkpoints (validate → on failure diagnose and fix → re-validate → only then proceed) for batch quality runs, rather than only a fail-and-raise step.

Dimension	Reasoning	Score
Conciseness	The body is mostly lean, executable code, but the "Data Quality Dimensions" table and "Testing Pyramid for Data" ASCII diagram explain concepts Claude already knows, so it could be tightened to earn full marks.	2 / 3
Actionability	Patterns 1–6 provide fully executable GE Python, checkpoint YAML, dbt test YAML, custom SQL tests, a data-contract YAML, and a runnable orchestration pipeline — copy-paste ready with specific details.	3 / 3
Workflow Clarity	The skill is a pattern catalog rather than a guided sequence, and although Pattern 6 validates and raises on failure, there is no fix-and-retry feedback loop for these batch validation operations, capping the score at 2.	2 / 3
Progressive Disclosure	No bundle files exist and all ~580 lines live inline in SKILL.md; the section organization is reasonable, but content that could be split into reference files (each pattern, the contract spec) is inline rather than one level deep.	2 / 3
	Total	9 / 12 Passed

Description

100%

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

A strong, concise description in third person that names concrete tools and actions, includes an explicit "Use when" trigger, and occupies a clear niche. It hits the top anchor on every dimension.

Dimension	Reasoning	Score
Specificity	"Implement data quality validation with Great Expectations, dbt tests, and data contracts" names multiple concrete actions and three specific tools, matching the anchor that lists several specific concrete actions.	3 / 3
Completeness	It explicitly answers both what ("Implement data quality validation with...") and when via an explicit "Use when" trigger clause, matching the top anchor.	3 / 3
Trigger Term Quality	"building data quality pipelines, implementing validation rules, or establishing data contracts" are natural phrases a user would say, with good coverage of the domain's common variations.	3 / 3
Distinctiveness Conflict Risk	The data-quality-validation niche with named tools (Great Expectations, dbt tests, data contracts) and distinct triggers is unlikely to fire for unrelated skills.	3 / 3
	Total	12 / 12 Passed

Validation

93%

Warnings & errors only

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation — 15 / 16 Passed

Validation for skill structure

Criteria	Description	Result
skill_md_line_count	SKILL.md is long (591 lines); consider splitting into references/ and linking	Warning

	Total	15 / 16 Passed

Repository: Dicklesworthstone/pi_agent_rust
Commit: abece4a

Reviewed: 4 days ago

Table of Contents

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