by XSafeAI · Codex Skill · ★ 154
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English · 中文文档 XSafeClaw: Monitor and Secure Your Agents 🚀 🔥🔥 Now supporting OpenClaw, Hermes, and Nanobot! 🔥🔥 AI agents are not just new software. They are software that can be talked into doing dangerous things. As agents move from chatbots to active systems that browse the web, execute code, and operate inside real workflows, we have handed language models the keys to our infrastructure before figuring out how to keep them on the rails. This breaks traditional security assumptions entirely. In conventional systems, behavior is defined in code. In agents, behavior emerges at runtime from instructions, retrieved content, memory, and long decision loops. An attacker no longer needs to exploit a bug. They can manipulate the agent's reasoning, redirect its trajectory, or turn small permissions into larger ones over time. Prompt injection
| Stars | 154 |
| Forks | 8 |
| Language | Python |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 47.992/100 |
| Open Issues | 1 |
| Last Updated | 2026-06-21 |
| Created | 2026-03-10 |
| Platforms | python |
| Est. Tokens | ~17k |
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XSafeClaw is Introducing XSafeClaw: The Open-Source Agent Safety Platform from Fudan University. It is categorized as a Codex Skill with 154 GitHub stars.
XSafeClaw is primarily written in Python. It covers topics such as agent-safety, agentic-ai, ai-safety.
You can find installation instructions and usage details in the XSafeClaw GitHub repository at github.com/XSafeAI/XSafeClaw. The project has 154 stars and 8 forks, indicating an active community.
XSafeClaw is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to XSafeClaw on Agent Skills Hub include Sponsio, LLMSecurityGuide, agentseal. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.