OpenClaw has rapidly emerged as a transformative artificial intelligence (AI) agent framework, and its ability to autonomously execute complex, multi-step tasks has attracted an ever-growing and diverse user base. However, this capability comes with significant risks. While existing research has made important strides in characterizing these threats, such work is predominantly directed at technically sophisticated audiences. It remains largely inaccessible to non-technical users. This demographic now makes up an increasingly large and underserved portion of the community, yet it is these very users who most urgently need practical and straightforward guidance. In response, we bridge this gap through a series of interconnected efforts designed to lower the risk barrier for non-technical OpenClaw users. First, we identify and categorize seven core risks that OpenClaw users may encounter in daily usage, explaining each in plain language so that non-technical users can readily grasp the nature and potential consequences of these threats. Second, for each identified risk, we distill a set of corresponding defensive strategies into clear and actionable operational steps that are easy to follow. Third, to make protection even easier, we provide a companion OpenClaw Skill that automates key security configurations, enabling users to safeguard their systems with minimal manual intervention. Through this work, we demonstrate that safeguarding against the risks of intelligent agents need not be the exclusive domain of security experts, and that non-technical users can meaningfully participate in reducing these risks through simple, practical actions.

翻译：OpenClaw已迅速成为一项变革性的人工智能代理框架，其自主执行复杂多步骤任务的能力吸引了日益增长且多样化的用户群体。然而，这种能力也带来了显著风险。尽管现有研究在描述这些威胁方面取得了重要进展，但此类工作主要面向技术娴熟的受众，对于非技术用户而言仍然难以触及。这一群体目前在社区中占比日益扩大且服务不足，而正是这些用户最迫切需要实用且易懂的指导。为此，我们通过一系列相互关联的努力来弥合这一差距，旨在降低非技术OpenClaw用户的风险门槛。首先，我们识别并分类了OpenClaw用户在日常使用中可能遇到的七种核心风险，并以通俗语言解释每种风险，使非技术用户能够轻松理解这些威胁的性质及潜在后果。其次，针对每种已识别的风险，我们提炼出一套相应的防御策略，将其转化为清晰且可操作的具体执行步骤，便于用户遵循。第三，为了进一步简化防护流程，我们提供了一个配套的OpenClaw Skill，该技能可自动化关键安全配置，使用户能够以最少的人工干预来保护其系统。通过这项工作，我们证明了防范智能代理风险不必是安全专家的专属领域，非技术用户也能通过简单实用的行动有效参与到降低这些风险的过程中。