realitycheck-stats

To retrieve live database stats for claims, sources, and predictions, run the rc-db stats command or execute the Python database script to query the live data store and return structured counts for an instant knowledge base overview.

The database stats breakdown for data governance audits includes structured counts of claims, sources, chains, and predictions, alongside distributions by domain, type, and evidence level to reveal coverage gaps and guide quality assurance reviews.

Yes, you can use a Python script to generate reporting snapshots for data quality assurance by running uv run python scripts/db.py stats, which queries the live data store and returns structured counts and breakdowns for auditing workflows.

No external dependencies are required to run database health checks and overview analyses, as the skill operates independently to query the live data store and return structured counts for claims, sources, chains, and predictions.

You need to retrieve database stats during a data governance review when you require an on-demand snapshot of current statistics for reporting and planning, enabling quick health checks and audits to assess knowledge base size and coverage.