{"slug":"mohitagw15856-data-quality-audit","source_name":"mohitagw15856/data-quality-audit","name":"Mohitagw15856/Data Quality Audit","description":"Audit a dataset for the quality problems that silently break analysis — missingness, duplicates, outliers, type and range errors, consistency, and freshness — and produce a prioritised fix list. Use when asked to assess data quality, audit a dataset, check data before analysis, or explain why numbers look off. Produces a structured quality report across the standard dimensions, the specific issues found (with the checks to run), severity, and how to fix each.","version":1,"lift":{"pass_rate_delta_pts":18.18,"pass_rate_pct":90.9,"total_cases":22,"passed_cases":20,"tokens_delta_pct":8.9,"turns_delta_pct":0,"verdict":"mixed","benchmark_model":"gemini-3.6-flash","grading_method":"judged","completed_at":"2026-08-14T15:40:20.345553+00:00"},"skill_score":null,"benchmark_models":[{"model":"gemini-3.6-flash","headline":true,"delta_pts":18.18,"with_pass_pct":90.9,"without_pass_pct":72.7,"tokens_delta_pct":8.9,"turns_delta_pct":0,"total_cases":22,"cases_aggregated":22,"verdict":"mixed","never_hurt":false,"completed_at":"2026-08-14T15:40:20.345553+00:00","run_id":"9ffd1d56-ce3c-40bf-933f-0efdb49a6fb2","version_number":1,"is_latest_version":true,"gate":null}],"trust":{"skill_safety":"passed","safety_status":"clean","intent_verdict":"safe","content_status":"clean","indexable":true},"license":"MIT","install_count":0,"manifest_hash":"988f224a8a88aef35f1c68a3065a10e6b9610476c893ecb5f7d84b93f6995e80","raw_url":"https://app.decimal.ai/s/mohitagw15856-data-quality-audit/SKILL.md","scorecard_url":"https://app.decimal.ai/skills/mohitagw15856-data-quality-audit"}