XHS-Ops: Xiaohongshu Operations Toolkit

面向小红书的内容运营工具集，含四个工具：按关键词检索热门笔记并按点赞排序、生成帖子写作提示词并按敏感词与格式规则审核、按随机间隔与每日上限自动评论、用浏览器渲染模板生成 1200×1600 封面图。各工具通过本地 MCP 服务访问平台，并提供内容规则与口播稿参考文档。

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最近更新 2026-05-11 17:32:28

分类：营销依赖：代码执行 / 联网浏览搜索 / 读写文件 / MCP 服务 / 内部调用大模型应用场景：社交媒体 / 文案创作 / 图像生成 / 研究 ...

安装技能

复制下面的话术发给你的 Agent，它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill： npx secure-skills-cli add chenxi-xhs-ops

Metadata

name: xhs-ops
description: Xiaohongshu (小红书) end-to-end operations skill: hot topic research, post writing with built-in audit, automated commenting with rate limiting, and cover image generation. Powered by xiaohongshu-mcp for native platform API access. Use when: searching Xiaohongshu trends, writing posts, automating comments, generating cover images, or any Xiaohongshu content workflow. Triggers: "搜热点", "找选题", "写一篇", "出内容", "发评论", "做封面", "xiaohongshu", "小红书", "XHS", "search hot topics", "write post", "auto comment", "generate cover".

XHS-Ops — Xiaohongshu Operations Toolkit

4 tools for Xiaohongshu content operations, all backed by xiaohongshu-mcp.

Prerequisites

xiaohongshu-mcp binary running at http://localhost:18060/mcp
Playwright Chromium installed (for cover generation)
Run bash scripts/setup.sh for one-click dependency install

# Quick start
bash scripts/setup.sh
# Verify MCP is running
curl -s http://localhost:18060/mcp

Tools

🔥 search-hot — Find trending topics

python3 scripts/search_hot.py                        # Use default keywords from config
python3 scripts/search_hot.py "Claude Code" "AI写代码" # Custom keywords

Returns Top 10 posts sorted by likes: title, author, likes/collects/comments, source keyword. Saves results to /tmp/xhs-search-results.json for other tools to consume.

📝 write-post — Generate post content

Agent workflow — not a standalone script. Use the prompt and audit functions:

from scripts.write_post import get_write_prompt, audit_post, format_audit_report

# 1. Generate writing prompt
prompt = get_write_prompt("3个AI Agent每晚自动开会", reference="optional context")

# 2. Send prompt to LLM, get back title + body + tags

# 3. Audit before publishing
result = audit_post(title="标题", body="正文", tags="#tag1 #tag2")
print(format_audit_report(result))

Audit checks: sensitive words, title length (≤20), body length (≤500), trailing question, numeric specificity, tag count (5-8).

💬 comment — Automated commenting

python3 scripts/comment.py --dry-run --count 5   # Preview only
python3 scripts/comment.py --count 10             # Post comments

Requires search-hot results. Random interval 3-8 min between comments. Daily limit configurable.

For single comment via Agent:

from scripts.comment import post_single_comment
result = post_single_comment(feed_id, xsec_token, "评论内容")
# Returns {"status": "ok"} or {"status": "blocked", "reason": "敏感词: ..."}

🎨 cover — Generate cover images

python3 scripts/cover.py "主标题" "副标题" -o ~/covers/output.png

Uses hand-drawn notebook style template. Playwright screenshots at 2x scale → 1200×1600 PNG. Replace assets/cover_template.html to change visual style.

Configuration

Edit scripts/config.json:

{
  "keywords": ["Claude Code 实战", "AI写代码 程序员"],
  "mcp_url": "http://localhost:18060/mcp",
  "comment_interval_min": 180,
  "comment_interval_max": 480,
  "daily_comment_limit": 15
}

Content Rules

See references/content_rules.md for:

Writing style guide (接地气、短句、移动端友好)
Sensitive word blacklist (platform names, absolute claims, solicitation)
Post structure template (hook → points → details → CTA)
Comment generation guidelines

Oral Script Template

See references/koubo.md for converting posts to video narration scripts.

MCP Session Notes

Each tool call requires a fresh initialize to get a Session ID
xsec_token from search results cannot be reused across sessions
Cookie expires ~30 days; re-login: ./xiaohongshu-login-darwin-arm64