Aggregates key metrics from the live LanceDB database for the Reality Check knowledge base.
npx skills add https://github.com/lhl/realitycheck --skill stats
Please help me install this Agent Skill. Skill: stats Source: https://github.com/lhl/realitycheck/tree/main/integrations/claude/skills/stats Command: npx skills add https://github.com/lhl/realitycheck --skill stats
This skill quickly surfaces real-time statistics about the Reality Check database to help you understand the health and coverage of claims, sources, chains, and predictions.
Use the stat command to display database statistics. Example: rc-db stats or uv run python scripts/db.py stats
High-intent search queries and answers about installing and using this skill.
To retrieve live database statistics for claims, sources, and predictions, run the rc-db stats command or execute the Python script db.py stats to surface real-time metrics from the LanceDB database.
Available database statistics for tracking claims include live counts for claims, sources, chains, predictions, and definitions, plus distribution breakdowns by domain and type for data governance and quality control.
Yes, you can use the stats command to analyze domain and type distributions in LanceDB, retrieving breakdowns by domain and type to support verification prioritization and data quality improvements.
Yes, you need a live LanceDB database to check Reality Check knowledge base metrics, as the stats command aggregates real-time statistics by directly querying the active database environment.
The best way to surface real-time counts for definitions and chains in a knowledge base is using the rc-db stats command, which provides an instant live overview of all tracked metrics.
Running the stats command helps with data governance and progress tracking by aggregating key metrics across claims, sources, chains, and predictions, allowing you to identify gaps and guide verification efforts.
lancedbDerive LanceDB REST base URL and authentication headers from inputs.
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lhlRun three-stage Reality Check analyses on web sources with Python and RC-CLI tools.
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