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Data Quality Checker · dicklesworthstone | DecimalAI

Registry skillby dicklesworthstone

Data Quality Checker

dicklesworthstone/data-quality-checker

Source dicklesworthstone/pi_agent_rust ↗License NOASSERTION

Validate data quality checker operations. Auto-activating skill for Data Pipelines.

SkillScore100Maintained

Automatic

Data Engineer pack

Last verified 8/30/2026

What it changes

Passed 22 of 22 test cases with the skill, and 20 of 22 without it.

Without skill91%

With skill100%

Checks it passed that the model alone missed

Configures SendSlackNotificationAction under action_list
Configures StoreValidationResultsAction under action_list
Uses SodaCL row_count syntax to compare staging table against raw landing table

2 fixed20 passed either way0 still failing0 broke

Pass-rate lift: +9 pp
Tokens: +17%
Agent turns: 0%
Response time: -2%

Model gemini-3.6-flashMeasured 8/30/2026v122 of 22 cases passed with skill

Tokens, turns and time describe resource use, not a dollar price.

Use this skill

Save it into your project's skills folder. Claude Code picks it up in its next session.

curl -fsSL --create-dirs -o .claude/skills/dicklesworthstone-data-quality-checker/SKILL.md https://app.decimal.ai/s/dicklesworthstone-data-quality-checker/SKILL.md

Want it pinned and updatable? pip install "decimalai>=0.15", then decimalai skills add dicklesworthstone-data-quality-checker, and start Claude Code with claude --plugin-dir "$(git rev-parse --show-toplevel)/.agents"

1 · One-time — install the CLI (docs ↗)

pip install "decimalai>=0.15"

2 · Get the skill — writes .agents/skills/dicklesworthstone-data-quality-checker/ and pins it in .decimal/skills.lock

decimalai skills add dicklesworthstone-data-quality-checker

No CLI? Get the same file — curl · raw file

curl -fsSL --create-dirs -o .claude/skills/dicklesworthstone-data-quality-checker/SKILL.md https://app.decimal.ai/s/dicklesworthstone-data-quality-checker/SKILL.md

Raw file: /s/dicklesworthstone-data-quality-checker/SKILL.md ↗ · machine-readable summary at /s/dicklesworthstone-data-quality-checker.json ↗

Safety checks: 3 of 3 passed

Code scan CleanIntent PassedContent Clean

See it in action

One of 2 test cases the skill fixed. Same model, same prompt, with and without the skill.

1 of 2

Prompt

In Great Expectations V3 API, we want our automated checkpoint run to validate our Postgres extract before running our dbt transformation. If validation fails, it should store HTML validation docs in S3 and alert Slack. What action list configuration items handle document rendering and Slack notifications?

What was checked, without and with the skill
Checked	Without skill	With skill
Configures StoreValidationResultsAction under action_list	Missed	Passed
Configures SendSlackNotificationAction under action_list	Missed	Passed

case-04 · gemini-3.6-flash · 8/30/2026 · answers are capped and redacted

What's inside

The instructions your model reads when the skill loads.

SKILL.md60 linessingle file

Data Quality Checker

Overview

This skill provides automated assistance for data quality checker tasks within the Data Pipelines domain.

When to Use

This skill activates automatically when you:

Mention "data quality checker" in your request
Ask about data quality checker patterns or best practices
Need help with data pipeline skills covering etl, data transformation, workflow orchestration, and streaming data processing.

Instructions

Provides step-by-step guidance for data quality checker
Follows industry best practices and patterns
Generates production-ready code and configurations
Validates outputs against common standards

Examples

Example: Basic Usage Request: "Help me with data quality checker" Result: Provides step-by-step guidance and generates appropriate configurations

Prerequisites

Relevant development environment configured
Access to necessary tools and services
Basic understanding of data pipelines concepts

Output

Generated configurations and code
Best practice recommendations
Validation results

Track record

Benchmark

22 / 22

test cases passed, vs 20 / 22 without

Adoption

Users: 3
Times used: 60

Safety and source details

SkillSafety

✓ 3 of 3 passed

Code scan15 of 15 checks clean

0 critical · 0 warning · 0 info — scanner v4 — 8/10/2026

View 15 scanner checks

live_secretremote_code_executionreverse_shelldata_exfiltrationssrf_metadataagent_snoopinganti_refusaldestructive_commandsobfuscated_unicodeunicode_homoglyphopaque_blobsuspicious_urltool_overreachtrigger_abuseprompt_injection_phrasing

IntentSafe

LLM judge · does the skill do what it claims

ContentClean

LLM judge · policy & harmful-content review

Source

Imported

dicklesworthstone / pi_agent_rust

tests/ext_conformance/artifacts/plugins-community/skills/11-data-pipelines/data-quality-checker/SKILL.md

View on GitHub ↗

License MITImported 8/10/2026Version v1

More skills from the same source and nearby in the registry, with their headline benchmark lift.

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See it in action

What's inside

Data Quality Checker

Overview

When to Use

Instructions

Examples

Prerequisites

Output

Track record

Benchmark

Adoption

SkillSafety

Source

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