High-performance data profiling & quality assessment for CSV, JSON, Parquet, pandas, polars, and Arrow. Rust core, Python API, agent-friendly outputs.
Skill Claude CodeCodex
Profiles CSV, JSON, JSONL, and Parquet files with dataprof to report schema, null rates, detected patterns, and data-quality scores. Use when inspecting an unfamiliar dataset, debugging data quality, comparing two dataset versions for drift, or preparing compact evidence for a data-cleaning or pipeline decision.
Skill Claude CodeCodex
Repository-specific review checklist for dataprof pull requests. Use when reviewing a diff in this repository, especially one touching an engine, a parser, a metric, type inference, or the quality score. Directs review effort at the defect class that actually ships here — a change that is correct where it was made and…