armor-coverage — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited armor-coverage (Agent Skill) and scored it 100/100 (green). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 0 high-severity and 0 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.
Findings & checks · 0 flagged
Every scanned point with the score it earned and what moved between them.
First recorded scan — no prior version to compare against.
The primary manifest — the file an agent reads to learn what this artifact does.
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.
~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.