Chainguard Skills

Signals scout for PostHog AI observability. Watches LLM traces for cost, latency, error, volume, and eval-performance regressions.

Signals scout that watches the project's most-viewed dashboards and insights for anomalies — bursts, drops, flat-lines, and trend breaks — against each insight's own seasonality-matched baseline.

Signals scout for Content Security Policy violations. Watches $csp_violation events for blocked-URL clusters, per-directive bursts, post-deploy regressions, and suspicious third- party domains.

Signals scout for PostHog data pipelines — CDP destinations and transformations, batch exports, and hog flows. Watches for delivery failures, degraded functions, and stalled exports against each pipeline's baseline.

Signals scout for PostHog error tracking. Watches $exception bursts, stuck loops, multi- fingerprint clusters, and status regressions.

Signals scout for PostHog A/B experiments. Watches running experiments for validity threats — sample ratio mismatch, contamination, exposure stalls, mid-run flag mutations — and lifecycle drift.

Signals scout for PostHog feature flags. Watches the flag roster and the $feature_flag_called stream for evaluation cliffs, ghost flags, response-distribution shifts, and flag debt.

Cross-product Signals scout. Looks for cross-product correlations and explores the surfaces the per-product specialist scouts don't cover.