小红书(RedNote)内容工具。使用场景: - 搜索小红书笔记并获取详情 - 获取首页推荐列表 - 获取帖子详情(正文、图片、互动数据、评论) - 发表评论 / 回复评论 - 获取用户主页和笔记列表 - 点赞、收藏帖子 - 发布图文或视频笔记 - 热点话题跟踪与分析报告 - 帖子导出为长图 触发词示例: - "搜一下小红书上的XX" - "跟踪一下小红书上的XX热点" - "分析小红书上关于XX的讨论" - "小红书XX话题报告" - "生成XX的小红书舆情报告"
96
96%
Does it follow best practices?
Impact
94%
2.23xAverage score across 3 eval scenarios
Risky
Do not use without reviewing
Security
2 findings — 1 high severity, 1 medium severity. You should review these findings carefully before considering using this skill.
The skill handles credentials insecurely by requiring the agent to include secret values verbatim in its generated output. This exposes credentials in the agent’s context and conversation history, creating a risk of data exfiltration.
Insecure credential handling detected (high risk: 1.00). The skill instructs the agent to pass feed_id + xsec_token pairs verbatim in command-line calls and JSON payloads (e.g., get_feed_detail, post_comment_to_feed, post-detail.sh <feed_id> <xsec_token>), so the LLM would need to handle and emit secret token values directly, creating an exfiltration risk.
The skill exposes the agent to untrusted, user-generated content from public third-party sources, creating a risk of indirect prompt injection. This includes browsing arbitrary URLs, reading social media posts or forum comments, and analyzing content from unknown websites.
Third-party content exposure detected (high risk: 0.90). This skill uses the xiaohongshu-mcp endpoints (e.g., via scripts/mcp-call.sh and scripts/search.sh/post-detail.sh) to fetch Xiaohongshu posts and comments (user-generated content) which track-topic.py directly reads and parses to generate reports and drive exports/actions, so untrusted third‑party content can materially influence agent behavior.
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