QwenPaw — security grade SAFE, quality 67/100

Security audit verdict: SAFE · quality 67/100

No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

by agentscope-ai · MCP Server · ★ 35.2k

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

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About QwenPaw

QwenPaw [![DeepWiki](https://img.shields.io/badge/DeepWiki-AskDevin-navy.svg?logo=data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAACwAAAAyCAYAAAAnWDnqAAAAAXNSR0IArs4c6QAAA05JREFUaEPtmUtyEzEQhtWTQyQLHNak2AB7ZnyXZMEjXMGeK/AIi+QuHrMnbChYY7MIh8g

agentagent-harnessagentscopeai-agentai-agentschatbotharness-engineeringllm-toolsllmsloop-engineering

Quick Facts

Stars35,213
Forks3,120
LanguageTypeScript
CategoryMCP Server
LicenseApache-2.0
Quality Score67.1856562996948/100
Open Issues966
Last Updated2026-09-22
Created2026-02-24
Platformsbrowser, mcp, node
Est. Tokens~23k

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Frequently Asked Questions

What is QwenPaw?

QwenPaw is Your Personal AI Assistant; easy to install, deploy on your own machine or on the cloud; supports multiple chat apps with easily extensible capabilities.. It is categorized as a MCP Server with 35.2k GitHub stars.

What programming language is QwenPaw written in?

QwenPaw is primarily written in TypeScript. It covers topics such as agent, agent-harness, agentscope.

How do I install or use QwenPaw?

You can find installation instructions and usage details in the QwenPaw GitHub repository at github.com/agentscope-ai/QwenPaw. The project has 35.2k stars and 3120 forks, indicating an active community.

What license does QwenPaw use?

QwenPaw is released under the Apache-2.0 license, making it free to use and modify according to the license terms.

What are the best alternatives to QwenPaw?

The top alternatives to QwenPaw on Agent Skills Hub include nanobot, lobehub, holaOS. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. 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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