signals-scout-anomaly-detection
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.
- Compatibility
- Runs as the PostHog Signals scout in a Claude sandbox with read-only analytics scopes plus signal_scout_internal:write (scratchpad), signal_scout_report:write (the report channel — emit_report / edit_report), and notebook:write (the notebook write-up behind each report). Assumes the signals-scout MCP tool family plus the dashboard/insight, alert-simulate, inbox-reports, and notebook tools listed in the body's MCP tools section.
Pinned to revision 4e8964e24a5a, so it is the text this page describes rather than whatever the author pushed since.
Files
- skills/signals-scout-anomaly-detection/SKILL.md
- skills/signals-scout-anomaly-detection/references/anomaly-methods.md
- skills/signals-scout-anomaly-detection/references/report-contract.md
- skills/signals-scout-anomaly-detection/references/watchlist-and-memory.md
- skills/signals-scout-anomaly-detection/scripts/ks2.py
Every link opens the file at its source, pinned to the revision this page describes.