agent/papers/items/2026-2606-18356-safeclawbench-separating-semantic-audit-evidence-and-sandbox-harm-in-tool-using-.md

Paper: SafeClawBench: Separating Semantic, Audit-Evidence, and Sandbox Harm in Tool-Using LLM Agents

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type: paper title: "SafeClawBench: Separating Semantic, Audit-Evidence, and Sandbox Harm in Tool-Using LLM Agents" authors: Yuchuan Tian, Mengyu Zheng, Haocheng Mei, Ye Yuan, Chao Xu, Xinghao Chen, Hanting Chen, Yu Wang year: 2026 venue: arXiv url: https://arxiv.org/abs/2606.18356 code_url: source: arxiv collected_at: 2026-07-08 published_at: 2026-06-16 updated_at: 2026-06-16 status: queued relevance: high topics:

• agent-evaluation
• agent-safety
• computer-use
• memory
• tool-use methods:

benchmarks:

models:

datasets:

• cs.CR
• cs.AI related_concepts:

related_jobs:

related_experiments:

related_projects:

collection_score: 19 collection_queries: agent-safety, tool-use

One-line Takeaway

Auto-collected from arXiv because it matched the Agent collection queries. Needs human skim.

Why Collected

• matched queries: agent-safety, tool-use
• inferred topics: agent-evaluation, agent-safety, computer-use, memory, tool-use
• arXiv categories: cs.CR, cs.AI
• collection score: 19

Review Checklist

• Does this paper directly inform Agent architecture, evaluation, memory, tools, safety, coding agents, GUI/browser agents, or multi-agent workflows?
• Does it include a benchmark, dataset, code, or reproducible experimental setup?
• Should it be promoted from queued to skimmed or summarized?

Links

• arXiv: https://arxiv.org/abs/2606.18356