aiml-phishing-benchmark

What problem does it solve?

This Skill provides a structured framework and prompts to benchmark phishing-detection pipelines using an AI agent, ensuring reproducible evaluation across multiple phishing categories and datasets.

Core Features & Use Cases

• Benchmark phishing-detection pipelines across multiple categories with deterministic input prompts.
• Validate dataset integrity by enforcing category coverage, placeholder-safety, length requirements, and social engineering markers.
• Use Case: A cybersecurity researcher runs the benchmark against a local classifier to measure recall and validate robustness of phishing detection.

Quick Start

Run the phishing-benchmark using the included DATASET and model to reproduce recall results.