XSafeClaw: Introducing XSafeClaw: The Open-Source Agent Safety Platform from Fudan University

by XSafeAI · Codex Skill · ★ 166

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How to install XSafeClaw

pip install xsafeclaw
pip install git+https://github.com/XSafeAI/XSafeClaw.git

Taken from the project's README on GitHub.

Security audit verdict: SAFE · quality 64/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours.

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

agent-safetyagentic-aiai-safetyllm-securityopenclawprompt-injectionred-teamingsafe-claw

Quick Facts

Stars166
Forks7
LanguagePython
CategoryCodex Skill
LicenseMIT
Quality Score64/100
Last Updated2026-07-10
Created2026-03-10
Platformspython
Est. Tokens~17k

About XSafeClaw

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.

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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