XHS-Downloader — security grade SAFE, quality 51/100

Security audit verdict: SAFE · quality 51/100

Flagged: sudo usage. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

by JoeanAmier · MCP Server · ★ 12.8k

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

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Featured in: Content Syndication

About XHS-Downloader

XHS-Downloader 简体中文 | English <img alt="Static Badge" src="https://img.shields.

apidockerdownloaderfastapihttpxjavascriptjsonlinuxmacosmcp-server

Quick Facts

Stars12,780
Forks1,883
LanguageJavaScript
CategoryMCP Server
LicenseGPL-3.0
Quality Score50.850281836522/100
Open Issues22
Last Updated2026-09-20
Created2023-08-16
Platformsdocker, mcp, node
Est. Tokens~19k

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Frequently Asked Questions

What is XHS-Downloader?

XHS-Downloader is 小红书(XiaoHongShu、RedNote)链接提取/作品采集工具. It is categorized as a MCP Server with 12.8k GitHub stars.

What programming language is XHS-Downloader written in?

XHS-Downloader is primarily written in JavaScript. It covers topics such as api, docker, downloader.

How do I install or use XHS-Downloader?

You can find installation instructions and usage details in the XHS-Downloader GitHub repository at github.com/JoeanAmier/XHS-Downloader. The project has 12.8k stars and 1883 forks, indicating an active community.

What license does XHS-Downloader use?

XHS-Downloader is released under the GPL-3.0 license, making it free to use and modify according to the license terms.

What are the best alternatives to XHS-Downloader?

The top alternatives to XHS-Downloader on Agent Skills Hub include nginx-ui, TrendRadar, Douyin_TikTok_Download_API. 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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