小红书数据分析

小红书数据分析工具。用于采集笔记数据、分析热度、追踪竞品、生成报告。 Activate when user mentions: 小红书, xiaohongshu, 笔记分析, 博主数据, 热度追踪, 竞品分析

This package appears to be a straightforward Xiaohongshu analytics toolbox implemented with local Python scripts that return sample data unless you provide credentials. Before installing or running: - Be cautious about providing real cookies or API keys (XHS_COOKIE, XHS_API_KEY). Cookies contain session credentials and can grant account access; only use credentials you control and understand the security/privacy implications. - The registry metadata did not declare the env vars the scripts expect (XHS_API_KEY, XHS_COOKIE). The SKILL.md documents them — confirm this mismatch with the publisher or the source before supplying secrets. - The code currently uses sample data and contains TODOs for real API calls; network/API behavior is not implemented, but if you or a future maintainer add real HTTP calls, review them to ensure they call official endpoints and respect rate limits and platform terms. - Do not run these scripts with high-frequency automated requests against Xiaohongshu without appropriate authorization; follow platform rules and rate limits. - Source is unknown; if you need higher assurance, obtain the skill from a trusted source or review & run the code in an isolated environment first. If you want, I can (1) point out specific lines that expect env vars and where to safely sanitize output, or (2) produce a checklist for safely testing the skill in a sandbox.

Type: OpenClaw Skill Name: xhs-analytics Version: 1.0.0 The xhs-analytics skill bundle is a legitimate template for analyzing Xiaohongshu (XHS) data. The scripts (e.g., search_notes.py, analyze_author.py) are currently skeletons that return mock data and require users to provide their own API keys or cookies via environment variables. There is no evidence of data exfiltration, malicious execution, or prompt injection.