Overview
What It Does
Data Anomaly Detector packages a focused productivity workflow for an AI agent. Detect anomalies and outliers in construction data: unusual costs, schedule variances, productivity spikes. Statistical and ML-based detection methods. It is best suited to users who can review the resulting actions and provide only the accounts, files, or command access needed for the task. It is not a substitute for human approval on destructive, financial, security-sensitive, or public-facing actions.
Task ideas
Popular Use Cases
- Organize notes, tasks, and project context
- Turn unstructured input into an action plan
- Keep recurring work consistent
- Retrieve information from a personal workspace
Installation
Install this Agent Skill
OpenClaw
clawhub install @datadrivenconstruction/data-anomaly-detectorCommands derived from the public ClawHub API record. Checked 2026-09-02. Review the source before running them.
Before you start
Requirements
| OpenClaw or ClawHub | Required / review |
| Review the source instructions before installation | Required / review |
| Paid service | Check source |
| Supported system | Check source |
Popularity context
Why It’s Popular
Data Anomaly Detector addresses a recognizable productivity workflow and is included from current public ClawHub adoption.
Alternatives
