AgentHazard (OpenClaw): leaderboard

Metric: Attack success rate (%), the share of instances judged harmful over all ten risk categories, with the model running inside the OpenClaw open-source agent framework (browser, shell and file-system tools; one isolated Docker container per task), over AgentHazard instances (harmful objectives embedded in locally legitimate multi-step workflows, ten risk categories and ten attack strategies; the evaluated runs cover 1,000 instances), judged on the full trajectory (round_all) by Gemini-3-Flash, which labels a trajectory harmful when it realizes the objective; backbones served through an OpenAI-compatible API; lower is better. Source: arxiv.org. 7 models tracked.

Top models

#ModelScore
1Qwen 2.5 72B Instruct24.1
2Kimi K2.550
3Qwen 3 32B59.18
4Qwen 3 VL 235B A22B Instruct63
5Qwen 2.5 Coder 32B Instruct64.06
6GLM-4.670.8
7Kimi K271.1

Interactive version: theaggregate.ai/benchmark?slug=agenthazard-openclaw · How It Works · Data refreshed daily, snapshot 2026-10-07.