Coverage

Skill anomalyarmor/agents/skills/coverage

Analyze monitoring coverage, tiers, and gaps. Handles what am I monitoring, what tier am I at, coverage gaps, monitoring status, unmonitored tables, how do I improve coverage.From its SKILL.md

Install

npx -y skills add anomalyarmor/agents --skill coverage

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SKILL.md

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Monitoring Coverage and Tiers

Analyze what is being monitored, view your coverage tier, and identify gaps in your data observability.

Prerequisites

AnomalyArmor API key configured
Python SDK installed (pip install anomalyarmor)

When to Use

What am I monitoring?
What tier is my database at?
Show monitoring gaps
How do I improve my coverage score?
What tables have no alerts?

Coverage Tiers

Every asset earns a coverage score (0-100) based on 6 monitoring features:

Tier	Score	What You Catch
Monitored	10-29	Schema changes that break pipelines
Protected	30-49	Pipeline failures, data disappearing
Verified	50-69	Stale data, value corruption
Intelligent	70+	AI-powered anomaly detection

Score weights: Schema Drift (25%), Freshness (25%), Metrics (20%), Alert Routing (15%), Validity (10%), Intelligence (5%).

Steps

Get Coverage Score and Tier

Use client.coverage.get(asset_id) to get score, tier, and breakdown.

Get Company-Wide Coverage

Use client.coverage.company() for company rollup with per-asset scores.

Find Coverage Gaps

Use client.coverage.gaps(asset_id) for prioritized recommendations.

Apply Recommendations

Use client.coverage.apply(asset_id) to batch-apply all recommendations.

Related Skills

/armor:recommend - Get AI-driven recommendations for what to monitor
/armor:monitor - Set up freshness and schema monitoring
/armor:quality - Add metrics and validity rules