Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add L-LesterYu/OpenClaw-hot-skills-zh --skill xiaohongshu-mcp-zhgit clone --depth 1 https://github.com/L-LesterYu/OpenClaw-hot-skills-zhWrote 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/l-lesteryu/openclaw-hot-skills-zh/xiaohongshu-mcp-zh)<a href="https://agentmods.dev/skills/l-lesteryu/openclaw-hot-skills-zh/xiaohongshu-mcp-zh"><img src="https://agentmods.dev/badge/skills/l-lesteryu/openclaw-hot-skills-zh/xiaohongshu-mcp-zh/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/l-lesteryu/openclaw-hot-skills-zh/xiaohongshu-mcp-zh"><img src="https://agentmods.dev/badge/skills/l-lesteryu/openclaw-hot-skills-zh/xiaohongshu-mcp-zh.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 | $0.00114 | $0.01114 |
| Opus 5 | $0.00057 | $0.00557 |
| Sonnet 5 | $0.00023 | $0.00223 |
| Haiku 4.5 | $0.00011 | $0.00111 |
Grade A, and why
xiaohongshu-mcp-zh 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 9d 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 — 92 lines — stays where its author put it; the contents beside it link to each section on GitHub.
小红书 MCP 技能（含 Python 客户端）
通过内置的 Python 脚本自动化操作小红书内容运营，与 xpzouying/xiaohongshu-mcp 服务器（8.4k+ 星标）进行交互。
项目地址： xpzouying/xiaohongshu-mcp
1. 本地服务器部署
本技能需要在本地运行 xiaohongshu-mcp 服务器。
第一步：下载二进制文件
从 GitHub Releases 页面下载适合你系统的二进制文件。
| 平台 | MCP 服务器 | 登录工具 |
|---|---|---|
| macOS (Apple Silicon) | xiaohongshu-mcp-darwin-arm64 |
xiaohongshu-login-darwin-arm64 |
| macOS (Intel) | xiaohongshu-mcp-darwin-amd64 |
xiaohongshu-login-darwin-amd64 |
| Windows | xiaohongshu-mcp-windows-amd64.exe |
xiaohongshu-login-windows-amd64.exe |
| Linux | xiaohongshu-mcp-linux-amd64 |
xiaohongshu-login-linux-amd64 |
为下载的文件添加执行权限：
chmod +x xiaohongshu-mcp-darwin-arm64 xiaohongshu-login-darwin-arm64
第二步：登录（仅首次需要）
运行登录工具，会打开一个浏览器窗口显示二维码。使用小红书手机 App 扫码登录。
./xiaohongshu-login-darwin-arm64
重要提示： 请勿在其他任何网页浏览器上登录同一个小红书账号，否则会导致服务器的登录会话失效。
第三步：启动 MCP 服务器
在单独的终端窗口中运行 MCP 服务器，它将在后台运行。
# 以无头模式运行（推荐）
./xiaohongshu-mcp-darwin-arm64
# 或者，以可见浏览器模式运行（用于调试）
./xiaohongshu-mcp-darwin-arm64 -headless=false
服务器将在 http://localhost:18060 上提供服务。
2. 使用技能
本技能包含一个 Python 客户端（scripts/xhs_client.py）用于与本地服务器交互。你可以直接通过命令行使用。
可用命令
| 命令 | 说明 | 示例 |
|---|---|---|
status |
检查登录状态 | python scripts/xhs_client.py status |
search <关键词> |
搜索笔记 | python scripts/xhs_client.py search "咖啡" |
detail <id> <token> |
获取笔记详情 | python scripts/xhs_client.py detail "note_id" "xsec_token" |
feeds |
获取推荐信息流 | python scripts/xhs_client.py feeds |
publish <标题> <内容> <图片> |
发布笔记 | python scripts/xhs_client.py publish "标题" "内容" "url1,url2" |
示例工作流：市场调研
-
检查状态：首先确认服务器正在运行且已登录。
python ~/clawd/skills/xiaohongshu-mcp-zh/scripts/xhs_client.py status -
搜索关键词：查找与调研主题相关的笔记。输出结果会包含下一步所需的
feed_id和xsec_token。python ~/clawd/skills/xiaohongshu-mcp-zh/scripts/xhs_client.py search "户外电源"
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 9d ago First seen · 92 lines · 114 tokens per session scan A fb77c9ac8124
xiaohongshu-mcp-zh is a skill published in the GitHub repository L-LesterYu/OpenClaw-hot-skills-zh (54 stars, last pushed 5mo ago), licensed MIT. It adds 114 tokens to every session and 1,114 once invoked, about $0.0006 per session on Opus 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 2026-09-03.
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