← 返回 Skills 市场
183
总下载
1
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install xiaohongshu-public-monitor
功能描述
小红书舆论监控 - 自动搜索小红书帖子、筛选需要舆论引导的内容、生成多人设评论话术、输出到飞书多维表格。适用于任何品牌/产品的小红书舆情监控。Use when: (1) 需要监控小红书上的品牌/产品讨论, (2) 需要生成多角色评论话术, (3) 需要将监控结果输出到飞书表格, (4) 用户提到舆论监控、舆情分析...
安全使用建议
This skill partly does what it says (search Xiaohongshu using Playwright) but the package appears incomplete: it promises comment generation and writing to Feishu, yet the visible script only performs searches and persists a browser session. Before installing, verify the following with the author or by inspecting the repo: (1) where and how the Feishu upload and comment-generation are implemented (search for feishu API calls and persona‑generation code), (2) that no code silently posts comments or exfiltrates data to unexpected endpoints, and (3) how login/session data and Feishu tokens are stored. If you proceed, do not place app tokens in plaintext config.yaml on a shared machine — use a secrets manager or environment variables, and run first in an isolated environment. Also consider the ethical and legal implications: the skill explicitly guides coordinating multiple personas and suggests 'water‑army' quantities, which can facilitate deceptive influence operations — ensure your use complies with laws and platform terms. If you cannot confirm the missing pieces or trust the author, treat this skill as untrusted.
功能分析
Type: OpenClaw Skill
Name: xiaohongshu-public-monitor
Version: 0.1.0
The skill is designed for automated social media monitoring and 'public opinion guidance' (astroturfing) on Xiaohongshu, including generating deceptive persona-based comments for 'water army' operations (SKILL.md). It utilizes Playwright (scripts/xhs_search.py) to automate browser interactions, bypass bot detection, and maintain persistent login states. While the code does not exhibit traditional malware traits like credential theft or backdoors, its explicit purpose is to facilitate coordinated social media manipulation and influence operations, which carries high reputational and platform-misuse risks.
能力评估
Purpose & Capability
The README/metadata promise a full workflow: search → filter → generate multi‑persona comments → write to Feishu Bitable. The included Python script implements searching/extraction using Playwright and persisting login state, but the repository files shown do not contain code to generate persona comments or to write results to Feishu. config.yaml expects a Feishu app_token/table_id, but the runtime code does not (in the visible files) use them. This inconsistency could be sloppy engineering or an incomplete package; it is not coherent as-is.
Instruction Scope
SKILL.md instructs the agent/user to login via a persistent Playwright browser session, run batch searches, and run the full workflow including comment generation and writing to Feishu. The script clearly instructs a user to scan to create a persistent login and to run searches. There are no instructions to read unrelated system files, nor evidence of exfiltration, but SKILL.md also includes operational guidance for coordinating multiple commenter personas and an explicit '建议水军数量' (suggest water‑army/account numbers), which enables coordinated influence operations and is ethically concerning. Additionally, the agent-facing instructions promise Feishu output and comment-generation steps that the provided script does not implement.
Install Mechanism
No opaque download or archive-extraction is used. The skill is instruction‑only plus a Python script; dependencies are standard (Playwright). Installation steps shown use git clone and pip install playwright / playwright install chromium — these are normal. The script hardcodes a macOS Chrome path which is brittle but not a supply‑chain red flag.
Credentials
config.yaml asks for Feishu app_token/table_id (sensible if writing to Feishu). However the skill registry metadata lists no required environment variables or primary credential, which is inconsistent with the config and SKILL.md metadata (which lists 'feishu-bitable' as a requirement). The script creates a local browser_data directory to persist login cookies — this stores sensitive session tokens on disk. Storing Feishu tokens in plaintext config.yaml (as instructed) is also sensitive. No other unrelated credentials are requested.
Persistence & Privilege
always is false and the skill does not request elevated platform privileges. It persists Playwright login state under its own browser_data directory and mentions an agent .learnings folder — this is confined to the skill's workspace and does not alter other skills or system settings. The ability to run autonomously is default and present, but not combined with other high privileges here.
如何使用
- 确保已安装 OpenClaw（本地或 Docker 部署）
- 在对话框中输入安装命令：
/install xiaohongshu-public-monitor - 安装完成后，直接呼叫该 Skill 的名称或使用
/xiaohongshu-public-monitor触发 - 根据 Skill 的参数说明提供必要输入，即可获得结构化输出
版本历史
v0.1.0
Initial release of xiaohongshu-public-monitor
- Automates monitoring of Xiaohongshu posts, including content search, filtering, and comment generation.
- Outputs results to Feishu Bitable with multi-role comment scripts for each post.
- Configurable for any brand/product and industry via `config.yaml`.
- Uses Playwright for persistent, headless Xiaohongshu login and scraping.
- Provides a clear workflow for post selection, duplicate removal, urgency assignment, and comment writing.
- Detailed guidance for defining personas, comment logic, filtering criteria, and urgency levels.
元数据
常见问题
Xiaohongshu Public Monitor 是什么？
小红书舆论监控 - 自动搜索小红书帖子、筛选需要舆论引导的内容、生成多人设评论话术、输出到飞书多维表格。适用于任何品牌/产品的小红书舆情监控。Use when: (1) 需要监控小红书上的品牌/产品讨论, (2) 需要生成多角色评论话术, (3) 需要将监控结果输出到飞书表格, (4) 用户提到舆论监控、舆情分析... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 183 次。
如何安装 Xiaohongshu Public Monitor？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install xiaohongshu-public-monitor」即可一键安装，无需额外配置。
Xiaohongshu Public Monitor 是免费的吗？
是的，Xiaohongshu Public Monitor 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Xiaohongshu Public Monitor 支持哪些平台？
Xiaohongshu Public Monitor 跨平台运行，可在任意部署了 OpenClaw / Claude Code 的环境中使用（cross-platform）。
谁开发了 Xiaohongshu Public Monitor？
由 Lisayinyy（@lisayinyy）开发并维护，当前版本 v0.1.0。
推荐 Skills