Dataset Quality Audit is a Data skill for Claude Code, published by zebbern in claude-code-guide.
Dataset Quality Audit runs 12-dimension quality checks on tabular data (CSV, Excel, TSV, JSON) to detect missing values, duplicates, outliers, format issues, and type inconsistencies, producing an overall score, grade, and actionable suggestions.
Dataset Quality Audit is cataloged under Data on DirSkills. Dataset Quality Audit comes from a repository tagged ai, ai-agent, ai-agent-tools, anthropic-claude and claude.
Documentation
A data quality auditing tool that runs 12-dimension quality checks on tabular data, producing per-dimension scores (0–100), an overall grade, and actionable fix suggestions.
This is the opening of the README. Read the full README on GitHub.
Dataset Quality Audit is one of 25 skills that DirSkills catalogs from zebbern/claude-code-guide, the repository it ships in. Its siblings there include API Fuzzing for Bug Bounty, API Shape Explorer and AWS Penetration Testing. Each one is a separate skill with its own page in this directory, installs the same way Dataset Quality Audit does, and is maintained by zebbern in that same repository. The rest of the collection is listed on the zebbern/claude-code-guide page.
Dataset Quality Audit ranks #190 by stars among the 668 Data skills in this catalog. The most-starred ones next to it are Benchmark Methodology, Jupyter Notebook and Solana. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of Dataset Quality Audit against them. Open each page to compare what they document and how they install.
Dataset Quality Audit is one of 25 skills cataloged on DirSkills from zebbern/claude-code-guide.
Dataset Quality Audit is one of 668 Data skills cataloged on DirSkills, ranked #190 by stars among them.