AIML Spambot Benchmark (ISC)

What it does

This repository template defines a benchmark for evaluating spam detection models by generating multi-tweet spam campaign examples across categories (crypto scam, pharmacy spam, romance scam, malware links, follower farms, engagement bait). It includes anchor examples and validators for category coverage and length.

When to use it

Intended for internal AI safety evaluation and red-teaming to measure classifier recall across adversarial campaign patterns. NOT suitable for direct ingestion or use by general-purpose agents because the template intentionally includes harmful anchor content designed to emulate real spam campaigns.

What's included

• Scripts: none bundled in the SKILL.md (has_scripts=false) but the repo contains benchmark harness files in templates.
• References: none packaged with this SKILL.md.
• Instructions: detailed benchmarking parameters and strict 'NEVER' rules describing forbidden edits.

Compatible agents

Intended for safety researchers and controlled red-team environments; should NOT be used by open/public agents.