data-quality-profiler
Profiles data assets to assess quality dimensions, detect anomalies, and generate comprehensive data quality reports with actionable recommendations.
npx skills add a5c-ai/babysitter --skill data-quality-profiler --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Data Quality Profiler Profiles data assets to assess quality dimensions and detect anomalies across the six core data quality dimensions. ## Overview This skill performs comprehensive data profiling to assess completeness, accuracy, consistency, validity, timeliness, and uniqueness. It generates statistical profiles, detects anomalies, identifies PII, and provides actionable recommendations for data quality improvement. ## Capabilities - **Statistical profiling** - Distributions, cardinality, null percentages, min/max values - **Data type inference and validation** - Detect actual vs declared types - **Pattern detection** - Regex patterns, formats, common structures - **Anomaly detection** - Outliers, drift, unexpected values - **Referential integrity checking** - Foreign key validation - **Freshness monitoring** - Data age and update frequency - **Volume trend analysis** - Record count patterns over time - **Schema change detection** - Structural changes between runs - **Cross-column correlation analysis** - Identify dependent columns - **PII detection and classification** - Sensitive data identification ## Input Schema ```json { "dataSource": { "type": "object", "required": tru
- Overview
- Capabilities
- Input Schema
- Output Schema
- Usage Examples
- Basic Table Profiling
- File Profiling with PII Detection
- Query-Based Profiling with Business Rules
- Drift Detection
- Quality Dimensions
- Completeness (0-100)
- Validity (0-100)
- Uniqueness (0-100)
- Accuracy (0-100)
What does the data-quality-profiler skill do?
Profiles data assets to assess quality dimensions, detect anomalies, and generate comprehensive data quality reports with actionable recommendations.
How do I install it?
Run `npx skills add a5c-ai/babysitter --skill data-quality-profiler --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From a5c-ai/babysitter, a repository with 1,642 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.