TheDocumentation Index
Fetch the complete documentation index at: https://docs.anomalyarmor.ai/llms.txt
Use this file to discover all available pages before exploring further.
/armor:coverage skill analyzes what’s being monitored and identifies gaps in your data observability coverage.
Usage
- “What am I monitoring?”
- “What tables have no alerts?”
- “Show me monitoring gaps”
- “Which tables need freshness checks?”
Coverage Categories
- Freshness: Tables with/without freshness schedules
- Schema: Tables with/without schema baselines
- Metrics: Tables with/without data quality metrics
- Alerts: Tables with/without alert rules
Example Usage
Coverage Overview
Find Unmonitored Tables
Prioritize Gaps
Common Questions
What counts as a ‘good’ coverage score?
Production tables should be at 100%. Staging in the 70-90% range is typical. Raw/landing and archive tables often don’t need full coverage, so anything above 50% there is usually fine. The overall letter grade weights production tables most heavily.How do I exclude sandbox or archive tables from my coverage score?
Tag them with a governance tag (likesandbox or archive) using /armor:tags. The coverage skill respects exclusion tags so your score reflects only the tables you actually care about.
Related Skills
Monitor
Set up monitoring
Quality
Add quality checks
Status
Health overview
