Individual skill
anomaly-scan
Scan connected platforms for anomalies against stored baselines, with likely causes. "why did our CPA spike"
skills/anomaly-scan/SKILL.md
Source commit cc45ca06eaf48abde3bb60fb79d31c41229c58db
What was checked
- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- Yes
- Repository scan complete
- No
- Skill scan complete
- No
- Observed behavior
- Network or broad shell
- Last checked
- Nov 10, 2026
These are observations at the recorded commit, not a guarantee of safety. Review the source before running it.
Install this skill
Choose an agent in your Stack or copy a command below. Commands fetch the pinned commit and copy only this skill directory. Existing destinations are refused. Copying a command does not install anything.
An install command is unavailable: current rules, complete repository and skill scans, an eligible behavior level and a permitted license are required.
Repository context
- Repository stars (not skill ratings)
- 943
- Repository last updated
- Nov 7, 2026
- License
- MIT
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- aeo Repository topic
- claude-code Repository topic
- claude-plugin Repository topic
- content-marketing Repository topic
- marketing-automation Repository topic
- seo Repository topic
- agent-skills Repository topic
- ai-marketing Repository topic
- eu-ai-act Repository topic
- geo Repository topic
- engineering Derived category
Files and excerpt
File metadata and permitted, redacted excerpts come from the recorded scan. Source links are pinned to that commit.
Browse files
SKILL.mdcore · 7,503 bytes
Read excerpt
# /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