data-quality-auditor — Claude Code plugin: audit your datasets
Checks a dataset for completeness, consistency, accuracy and validity. Useful before training a model or shipping a report built on that data.
/plugin marketplace add alirezarezvani/claude-skills
/plugin install data-quality-auditor@claude-code-skillsWhat data-quality-auditor does
The plugin adds three pure-Python tools to Claude, with no third-party libraries. A profiler scores the dataset with DQS, a missing-value analyzer labels gaps as MCAR, MAR or MNAR, and an outlier detector runs several methods at once. You call them from the session; the dataset files stay where they are.
Missing values are the usual reason a model learns from noise. The MCAR/MAR/MNAR split tells you whether gaps are random or tied to other columns, and that changes how you fill them. Outliers get caught by more than one method on purpose: a single detector misfires on skewed distributions, so comparing results matters more than any one number.
Everything runs on the Python standard library, so there is nothing extra to install. Mixed-type or date columns are the awkward case — expect to profile a subset of columns rather than the whole table.
What it helps with
- score dataset completeness before training a model
- classify missing values as MCAR, MAR or MNAR
- catch outliers with several methods and compare them
- compute a DQS score per column and per row
- validate field values before a report goes out
Example prompts for the agent
- audit sales.csv for completeness and consistency
- analyze missing values in customers.csv and tell me which types they are
- find outliers in transactions.csv using several methods
How to install data-quality-auditor
Plugin marketplace
/plugin marketplace add alirezarezvani/claude-skills/plugin install data-quality-auditor@claude-code-skillsStep by step, with commands for each platform: Claude Code plugins: marketplaces, installing, and building your own
Questions about data-quality-auditor
How do I install data-quality-auditor in Claude?
Add the marketplace with /plugin marketplace add alirezarezvani/claude-skills, then install the plugin: /plugin install data-quality-auditor@claude-code-skills.
What does data-quality-auditor do?
It audits a dataset for completeness, consistency, accuracy and validity. Three tools ship inside: a profiler with DQS scoring, a missing-value analyzer with MCAR/MAR/MNAR classification, and a multi-method outlier detector.
Does it need extra Python libraries?
No. All three tools rely only on the Python standard library.
Source text
data-quality-auditor · MIT
Audit datasets for completeness, consistency, accuracy, and validity. 3 stdlib-only Python tools: data profiler with DQS scoring, missing value analyzer with MCAR/MAR/MNAR classification, and multi-method outlier detector.
© Alireza Rezvani · MIT · alirezarezvani/claude-skills
