data-quality-checker

Data Quality Checker - Auto-activating skill for Data Pipelines. Triggers on: data quality checker, data quality checker Part of the Data Pipelines skill category.

1.00x

Quality

Does it follow best practices?

Impact

96%

1.00x

Average score across 3 eval scenarios

Securityby

Passed

No known issues

Optimize this skill with Tessl

npx tessl skill review --optimize ./planned-skills/generated/11-data-pipelines/data-quality-checker/SKILL.md

Evaluation results

94%

Customer Data Quality Audit

Comprehensive data quality validation dimensions

Criteria

Without context

With context

Completeness check

100%

Validity - email format

100%

Validity - date format

100%

Uniqueness check

100%

Consistency - numeric ranges

100%

Structured JSON report

100%

Human-readable summary

100%

Production-ready structure

70%

CLI interface

100%

Multiple quality dimensions

100%

Configurable rules

25%

62%

Without context: $0.3848 · 1m 24s · 21 turns · 21 in / 6,098 out tokens

With context: $0.4813 · 1m 46s · 23 turns · 281 in / 7,050 out tokens

97%

Sales ETL Pipeline Quality Gates

ETL pipeline quality gates with step-by-step approach

Criteria

Without context

With context

Extract-stage checks

100%

Transform-stage checks

100%

Invalid data detection

100%

External quality rules config

100%

Quarantine or halt behavior

100%

Run report output

100%

Step-by-step pipeline stages

100%

Production error handling

62%

Configurable thresholds

100%

Revenue/aggregate validation

100%

Without context: $0.5714 · 2m 6s · 24 turns · 25 in / 9,420 out tokens

With context: $0.7061 · 2m 41s · 30 turns · 29 in / 11,143 out tokens

99%

-1%

Reusable Data Quality Framework for a Data Engineering Team

Production-ready reusable data quality rules engine

Criteria

Without context

With context

Package structure

100%

Completeness rule type

100%

Validity rule type

100%

Uniqueness rule type

100%

Consistency rule type

100%

Structured report format

100%

Issues detected in demo

100%

Declarative rule API

100%

Error handling in library

100%

90%

Consistent report structure

100%

Without context: $0.5383 · 2m 5s · 25 turns · 26 in / 8,749 out tokens

With context: $0.7272 · 2m 56s · 32 turns · 31 in / 10,974 out tokens

Repository: jeremylongshore/claude-code-plugins-plus-skills
Commit: 0c08951

Evaluated: 18 days ago
Agent: Claude Code
Model: Claude Sonnet 4.6

Table of Contents

Customer Data Quality Audit Sales ETL Pipeline Quality Gates Reusable Data Quality Framework for a Data Engineering Team

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