Claude Skill

XSafeAI/XSafeClaw

XSafeClaw is an open-source agent safety platform from Fudan University for evaluating LLM-based agent security against prompt injection and red-teaming threats.

Overview

Stars150
Forks6
LanguagePython
Last pushed2026-05-27
Last synced2026-05-27
View on GitHub

Repository

OwnerXSafeAI
RepositoryXSafeClaw
Full nameXSafeAI/XSafeClaw
Repo ID1,177,710,325

Install this Skill

git clone https://github.com/XSafeAI/XSafeClaw.git

Registry

TypeUnknown
Quality scoreUnknown
VerificationUnknown
Last verifiedUnknown

Summary

XSafeClaw is an open-source agent safety platform developed by Fudan University, designed to evaluate and enhance the security of LLM-based agents against prompt injection, red-teaming, and other AI safety threats.

Chinese description

介绍XSafeClaw:复旦大学开源智能体安全平台

Key features

  • Open-source agent safety evaluation platform from Fudan University
  • Supports prompt injection and red-teaming testing
  • Focuses on LLM-based agent security
  • Built for AI safety research and benchmarking

Use cases

  • Security testing of LLM-based agents
  • Red-teaming exercises for AI systems
  • Academic research on agent safety
  • Benchmarking agentic AI defenses

Topics

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Data from GitHub. Synced on 2026-05-27