From anomalyarmor-agents
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.
npx claudepluginhub anomalyarmor/agents --plugin armorThis skill uses the workspace's default tool permissions.
Analyze what is being monitored, view your coverage tier, and identify gaps in your data observability.
Conducts multi-round deep research on GitHub repos via API and web searches, generating markdown reports with executive summaries, timelines, metrics, and Mermaid diagrams.
Dynamically discovers and combines enabled skills into cohesive, unexpected delightful experiences like interactive HTML or themed artifacts. Activates on 'surprise me', inspiration, or boredom cues.
Generates images from structured JSON prompts via Python script execution. Supports reference images and aspect ratios for characters, scenes, products, visuals.
Analyze what is being monitored, view your coverage tier, and identify gaps in your data observability.
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%).
Use client.coverage.get(asset_id) to get score, tier, and breakdown.
Use client.coverage.company() for company rollup with per-asset scores.
Use client.coverage.gaps(asset_id) for prioritized recommendations.
Use client.coverage.apply(asset_id) to batch-apply all recommendations.