AI EVALUATION, IN CONTEXT.BY EQUALITY MACHINE

OpenCompass Hub

AgentHarm

AgentHarm tests the robustness of LLMs to jailbreak attacks. It includes a diverse set of 110 explicitly malicious agent tasks (440 with augmentations), covering 11 harm categories including fraud, cybercrime, and harassment.

Evaluation context and evidence

Source
OpenCompass Hub
Publisher
Gray Swan AI
Benchmark release
2024-10-11
Collected
2026-08-18
Modality
Not recorded

These are source-reported observations, not independent reruns by this site. Check the task version, evaluation protocol, unit and reporting date before comparing models. Results from different setups are not a universal ranking.

Original sources

Reported results 0

This source record has no numeric results in our collection. That does not mean a score of zero or that no public results exist. Consult the original resources above.