ai-detecting-anomalies

Name: ai-detecting-anomalies
Rating: 5 (6 reviews)
Author: lebsral

Detect fraud, unusual behavior, and anomalies in events or transactions using AI. Use when detecting fraud, flagging suspicious transactions, anomaly detection in logs, spotting unusual user behavior, abuse detection, identifying outliers in data, suspicious activity monitoring, fraud scoring, unusual pattern detection, flagging account takeover attempts, detecting bot traffic, abnormal usage patt

6stars

Updated last month

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How to add

/plugin marketplace add lebsral/DSPy-Programming-not-prompting-LMs-skills

The exact command may vary by repository. Check the README on GitHub.

For the skill author

Drop this on your repo README

Shows your skill is listed on Skillteca, generates a backlink and trackable traffic.

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Build an AI Anomaly Detector

Build an AI anomaly detector with DSPy - define what normal looks like, score events for severity, route by risk level, and explain findings to human reviewers.

Step 1: Understand the detection task

Ask the user:

What events are you analyzing? (transactions, logins, API calls, server logs, user actions, etc.)
What does "normal" look like? (Do you have historical baselines? Average values? Known-good patterns?)
What counts as suspicious? (

[Description truncada. Veja o README completo no GitHub.]

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