Overview
data-quality-frameworks is an open-source workflow skill for Claude Code and compatible agents, published by wshobson. Its author describes it as: “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.”. The project has 39k stars on GitHub and is available under the MIT license. Add it to your setup with `/plugin marketplace add wshobson/agents`.
What data-quality-frameworks does
Production patterns for implementing data quality with Great Expectations, dbt tests, and data contracts to ensure reliable data pipelines.
What’s inside
The SKILL.md for data-quality-frameworks is organised into these sections:
- When to Use This Skill
- Core Concepts
- 1. Data Quality Dimensions
- 2. Testing Pyramid for Data
- Quick Start
- Great Expectations Setup
- Detailed patterns and worked examples
- Summary: {totalpassed}/{totaltables} tables passed")
- Best Practices
- Do's
- Don'ts
Installation
Add data-quality-frameworks to your agent with:
/plugin marketplace add wshobson/agentsReview a skill’s source before installing it — skills can instruct your agent to run commands. This command comes from the skill’s public repository, which is the source of truth for setup steps. New to skills? Read how to install Claude Code skills.
Supported agents
- Claude Code — ships a claude code plugin marketplace
- Codex — declared in the repository topics
- Cursor — declared in the repository topics
- Gemini CLI — declared in the repository topics
- OpenCode — declared in the repository topics
- GitHub Copilot — declared in the repository topics
License
data-quality-frameworks is published under the MIT license.
Strengths
- Clear MIT license — safe to read and adapt within its terms
- Ships in wshobson/agents, an established project with 38,858 GitHub stars
- Works with Claude Code, Codex, Cursor, Gemini CLI, OpenCode, GitHub Copilot
- Actively maintained — repository updated in the last 90 days
- Its repository gained 461 GitHub stars over the last 17 days
Author
Topics
Frequently asked questions
- What does data-quality-frameworks do?
- 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.
- How do I install data-quality-frameworks?
- Run /plugin marketplace add wshobson/agents in your agent, then reload your skills. Review the source at https://github.com/wshobson/agents before installing.
- Is data-quality-frameworks free to use?
- Yes. data-quality-frameworks is free and open source under the MIT license, so you can read, run, and adapt it within that license's terms.
- Which agents does data-quality-frameworks work with?
- data-quality-frameworks lists Claude Code, Codex, Cursor, Gemini CLI, OpenCode, and GitHub Copilot — named in its SKILL.md, its plugin marketplace or its repository topics. Skills use the portable SKILL.md format, so other agents that read that format may load it too.
- Where does data-quality-frameworks come from?
- data-quality-frameworks ships inside wshobson/agents, a repository that contains 54 catalogued skills in total. The repository's 38,858 GitHub stars apply to that whole collection, not to this skill on its own.