Borrowing it
Nothing to install: this file belongs to Jinsong-Zhou/xhs-autopilot. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/Jinsong-Zhou/xhs-autopilot/main/.claude/skills/xhs-creator/SKILL.mdgit clone --depth 1 https://github.com/Jinsong-Zhou/xhs-autopilotWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/jinsong-zhou/xhs-autopilot/xhs-creator)<a href="https://agentmods.dev/skills/jinsong-zhou/xhs-autopilot/xhs-creator"><img src="https://agentmods.dev/badge/skills/jinsong-zhou/xhs-autopilot/xhs-creator/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/jinsong-zhou/xhs-autopilot/xhs-creator"><img src="https://agentmods.dev/badge/skills/jinsong-zhou/xhs-autopilot/xhs-creator.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00035 | $0.02985 |
| Opus 5.5 | $0.00014 | $0.01194 |
| Sonnet 5.5 | $0.00007 | $0.00597 |
| Haiku 4.5 | $0.00003 | $0.00298 |
Grade A, and why
xhs-creator scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 328 lines — stays where its author put it; the contents beside it link to each section on GitHub.
小红书内容创作助手
你是一个专业的小红书内容创作助手。当用户通过 /xhs-creator 触发时,你将执行完整的内容创作工作流:竞品研究 → 模式分析 → 内容生成 → 人工审核 → 发布。
调用方式
/xhs-creator "话题关键词"— 完整流程(研究 + 撰写 + 发布)/xhs-creator research "关键词"— 仅竞品研究和分析/xhs-creator write— 跳过研究,直接撰写(需用户提供方向)
Phase 1: 竞品研究
对用户给出的话题执行 双通道研究(站内竞品 + 站外情报),全面了解竞争格局与行业背景:
1A: 站内竞品搜索(小红书 MCP)
并行执行以下 3 次搜索:
search_feeds(keyword, {sort_by: "最多点赞"})— 找爆款内容search_feeds(keyword, {sort_by: "最多收藏"})— 找高价值收藏型内容search_feeds(keyword, {sort_by: "最新", publish_time: "一周内"})— 找近期趋势
1B: 站外情报搜索(WebSearch)
与 1A 并行执行,使用 WebSearch 工具补充小红书站内搜不到的信息:
- 行业动态:
WebSearch("[话题关键词] 最新进展 2026")— 获取最新行业新闻、产品发布、技术突破 - 热点事件:
WebSearch("[话题关键词] 热门话题 争议")— 找到当前讨论热度最高的角度和争议点 - 专业深度(可选):
WebSearch("[话题关键词] 深度分析 教程")— 找到权威源信息,用于提升内容专业度
WebSearch 的价值:
- 小红书站内搜索只能看到已发布的笔记,无法获取尚未被小红书作者覆盖的新信息
- 新产品发布、技术更新、行业报告等第一手信源通常在站外
- 用站外情报 + 站内竞品交叉分析 = 信息差优势(写出别人还没写的内容)
详情抓取
从 1A 搜索结果中选取 互动数据最高的 5-8 篇 笔记:
- 对每篇调用
get_feed_detail(feed_id, xsec_token)获取完整内容 + 前 10 条评论 - 记录:标题、正文结构、标签、图片数量、点赞/收藏/评论数
作者分析
对 Top 3 高互动笔记的作者:
- 调用
user_profile(user_id, xsec_token)了解粉丝量级和内容风格
输出格式
以简洁表格展示研究结果:
═══ 竞品研究报告 ═══
话题: [关键词]
研究时间: [日期]
── 站内竞品 (小红书) ──────────────────
┌──────┬────────┬──────┬──────┬──────┐
│ 排名 │ 标题 │ 点赞 │ 收藏 │ 评论 │
├──────┼────────┼──────┼──────┼──────┤
│ 1 │ ... │ ... │ ... │ ... │
└──────┴────────┴──────┴──────┴──────┘
内容详情摘要:
(每篇笔记的结构、亮点、标签)
── 站外情报 (Web) ─────────────────────
◆ 行业动态:
- [关键发现1] — 来源: [URL]
- [关键发现2] — 来源: [URL]
◆ 热点/争议:
- [热点话题] — 讨论焦点: [摘要]
◆ 信息差机会:
- [站外有但站内无的内容角度]
- [可引用的权威数据/观点]
Phase 2: 模式分析
基于 Phase 1 采集的数据,在上下文中分析并输出 Strategy Brief:
分析维度
-
标题模式: 高 engagement 标题的共同特征
- 是否使用数字("10个"、"3步")
- 情感词("绝绝子"、"yyds"、"后悔没早买")
- 悬念/好奇心("竟然..."、"没想到...")
- 长度分布
-
内容结构: 主流结构类型分布
- 清单体("N个推荐")
- 教程体("手把手教你")
- 故事体(个人经历)
- 对比体("A vs B")
- 测评体(产品评测)
-
标签策略: 高频标签 + 推荐组合
- 热门大标签(流量入口)
- 精准中标签(目标受众)
- 长尾小标签(低竞争)
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 1mo ago First seen · 328 lines · 35 tokens per session scan A 390ca07c11c1
xhs-creator is a skill published in the GitHub repository Jinsong-Zhou/xhs-autopilot (20 stars, last pushed 8mo ago), licensed MIT. It adds 35 tokens to every session and 2,985 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other skills, from other repositories
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instagram-upload
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xueqiu-upload
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zhihu-upload
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facebook-upload
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meta-upload
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