Harry24k/CyBiasBench: Large language models (LLMs) are increasingly deployed as autonomous agents in offensive cybersecurity. In this paper, we reveal an interesting phenomenon: different agents exhibit distinct attack patterns. Specifically, each agent exhibits an attack-selection bias, disproport...
Pillar = mean of 1 scaled value = 0.0.
Awaiting first reading — these signals apply to this agent and will be ingested on the next tier tick: GitHub stars, SO questions (7d), Product Hunt upvotes, Docker Hub pulls, Crates.io downloads (90d), Tech-news mentions (30d)
Not applicable — this agent doesn't have the prerequisite (no GitHub repo, no HF mirror, etc.) for these signals to ever apply: HF downloads (30d), npm weekly installs, PyPI monthly installs
[](https://agenttape.com/agents/harry24k-cybiasbench)
<a href="https://agenttape.com/agents/harry24k-cybiasbench"><img src="https://agenttape.com/api/badge/harry24k-cybiasbench.svg" alt="AgentTape" /></a>