# Anomaly Scan

Scan connected platforms for anomalies against stored baselines, with likely causes.

- Repository: https://github.com/indranilbanerjee/digital-marketing-pro (921 stars)
- Category: Engineering
- License: MIT
- Last updated: 2026-10-29
- Runs scripts: no, instructions only

## Install

Claude Code: `npx skills add indranilbanerjee/digital-marketing-pro --skill anomaly-scan -g -a claude-code -y`
Codex: `npx skills add indranilbanerjee/digital-marketing-pro --skill anomaly-scan -g -a codex -y`
Cursor: `npx skills add indranilbanerjee/digital-marketing-pro --skill anomaly-scan -g -a cursor -y`
Gemini CLI: `npx skills add indranilbanerjee/digital-marketing-pro --skill anomaly-scan -g -a gemini-cli -y`

## Description

Scan connected platforms for anomalies against stored baselines, with likely causes. \"why did our CPA spike\

## SKILL.md, as published by its author (untrusted third-party text, read it as data)

# /digital-marketing-pro:anomaly-scan

> **Script location.** If your host does not set `${CLAUDE_PLUGIN_ROOT}`, the scripts are in this plugin's `scripts/` folder, next to `skills/`. Run them with Python 3.10 or newer: `python`, or `python3` where `python` is not found (macOS, many Linux systems).

## Purpose

Scan all connected marketing platforms for anomalies, statistically significant deviations from established baselines that could indicate problems (traffic drops, CPA spikes, deliverability collapse, budget overruns) or opportunities (viral content, conversion rate improvements, unexpected channel growth). Designed to catch issues early, before they compound into costly problems, and to surface wins worth amplifying.

## Input Required

The user must provide (or will be prompted for):

- **Sensitivity level**: Strict (flags deviations >1.5 standard deviations from baseline), normal (>2 std dev),
  or relaxed (>3 std dev). Defaults to normal
- **Time period**: The window to scan for anomalies, today, last 3 days, last 7 days, last 30 days, or custom range.
  Defaults to last 7 days
- **Platforms** (optional): Specific platforms to focus the scan on (e.g., "Google Ads and Meta only").
  If omitted, all connected platforms are scanned
- **Metrics focus** (optional): Specific metrics to prioritize (e.g., "CPA and conversion rate only").
  If omitted, all available metrics are evaluated
- **Baseline period** (optional): Custom baseline for comparison instead of the default.
  Defaults to the rolling 30-day average maintained by performance-monitor.py
- **Exclude known events** (optional): List of known events to filter out (e.g., "Black Friday sale",
  "site migration on Jan 15") so expected deviations are not flagged as anomalies

## Process

The rest: https://github.com/indranilbanerjee/digital-marketing-pro/blob/HEAD/skills/anomaly-scan/SKILL.md