This article breaks down the end-to-end attack chain of Memory Heist and demonstrates how to automate its detection using the Agent Security Scanning module (agent-scan) in AI-Infra-Guard (A.I.G).
Read Full Article arrow_forward![[Open Source] A.I.G Releases Agent Security Drill SKILL](https://secbench-1258476245.cos.ap-guangzhou.myqcloud.com/zhuque-blog/2026/06/1782718349166-fa6e7ec9802db322.png)
AI Agents gain access to tools, code execution, and business systems, risks such as prompt injection, jailbreaks, and tool abuse can lead to data leaks, system compromise, or business tampering. Tencent Zhuque Lab open-sources the A.I.G Agent Security dirll Skill to help developers and business teams run lightweight, local, and systematic security tests before launch.
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The Chinese University of Hong Kong, Shenzhen, in collaboration with Tencent Zhuque Lab, has released SkillTrustBench, the first safety evaluation benchmark for Agent skills.
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The explosive popularity of OpenClaw in early 2026 transformed AI from a system that answers questions into an agent that executes operations on your behalf. "Skills" are the primary mechanism through which Agents acquire these capabilities, making them the latest entry point for attackers to poison the well. We used A.I.G (https://github.com/tencent/AI-Infra-Guard) to conduct a comprehensive scan of over 50,000 Skills on ClawHub. We uncovered not only known malicious samples but also the next generation of highly stealthy attack vectors.
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This article exposes the supply chain security risks hidden within Agent Skills used by AI coding assistants. Research highlights how attackers can weaponize seemingly benign plugins—such as GIF makers or calculators—to steal sensitive keys, deploy ransomware, or establish remote control via "hidden prompts," malicious scripts, or authorization flaws. Since traditional security tools struggle to detect these NLP-based threats, Tencent's Zhuque Lab has introduced A.I.G, an open-source platform that uses "AI to scan AI," providing automated auditing and risk mitigation to build a safer Agent ecosystem.
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