← 返回 Skills 市场
um-why

小红书商业洞察与竞品分析助手

作者 um-why · GitHub ↗ · v1.0.2 · MIT-0
cross-platform ✓ 安全检测通过
206
总下载
0
收藏
0
当前安装
3
版本数
在 OpenClaw 中安装
/install xiaohongshu-tool
功能描述
小红书运营全链路数据工具|支持关键词搜索/笔记详情查询/爆款挖掘/竞品分析/KOL筛选/趋势洞察,基于Node.js开发,可获取小红书图文/视频笔记的点赞/评论/收藏数据,用数据驱动小红书流量增长,告别盲目创作
安全使用建议
This skill appears to do what it says: it runs Node CLI scripts that call a third‑party API to fetch Xiaohongshu public data. Before installing/running: 1) Verify you trust the external API provider (www.guaikei.com) because the tool will send queries and note URLs to that host. 2) Provide your own GUAIKEI_API_TOKEN instead of relying on the embedded default demo token; check the provider's terms and rate limits. 3) Be aware the tool writes results to a local logs/ directory — do not run it on systems containing sensitive data you don't want logged. 4) Review the upstream GitHub repository (package.json points to github.com/um-why/xiaohongshu-openclaw-skill) and the provider's privacy/usage policies if you need higher assurance. If you need me to, I can summarize the exact network calls the skill makes or help verify the external domain's reputation.
功能分析
Type: OpenClaw Skill Name: xiaohongshu-tool Version: 1.0.2 The skill bundle is a legitimate data mining tool for Xiaohongshu (Red) analytics, acting as a wrapper for the Guaikei API. It implements robust input validation for keywords (src/validate/keyword.js) and URLs (src/validate/url.js) to prevent injection, uses standard Node.js HTTPS modules without external dependencies to minimize supply chain risks, and includes clear documentation for the OpenClaw agent. No evidence of data exfiltration, malicious execution, or prompt injection was found; the use of a hardcoded default API token (src/utils/key.js) is transparently handled as a fallback for trial purposes.
能力评估
Purpose & Capability
The skill declares Xiaohongshu keyword search and note/detail analysis and actually implements CLI scripts that call an external API to perform searches and detail retrievals. Requiring a single API token (GUAIKEI_API_TOKEN) and node is coherent with the stated purpose. Note: requests are sent to a third‑party host (constants.BASE_URL = "www.guaikei.com") rather than directly to xiaohongshu; this is consistent with using a proxy/API provider but is worth verifying.
Instruction Scope
SKILL.md tells the agent to run the included Node.js CLI scripts (search-cli.js and detail-cli.js). Those scripts only read CLI args and process.env.GUAIKEI_API_TOKEN, call the API provider, print output, and save results to a logs/ directory. They do not read other system files or additional environment variables.
Install Mechanism
There is no install spec (instruction-only skill from OpenClaw perspective), and the included code runs as Node.js scripts. No external archive downloads or package manager installs are invoked by the skill itself. Risk from installation is low, but running the code requires Node on the host.
Credentials
Only one env var (GUAIKEI_API_TOKEN) is required, which is proportional because the tool calls a third‑party API. Important details: the code substitutes a built‑in default token when GUAIKEI_API_TOKEN is missing/invalid (key.skillKey returns "e10adc3949ba59abbe56e057f20f883e" and warns). That default token appears to be a demo value and will be used automatically if you don't configure a private token — be aware of rate limits, data privacy, and the fact your queries (including note URLs) are sent to the external provider.
Persistence & Privilege
The skill is not always‑on and does not request elevated system privileges. It writes output logs under a logs/ directory inside the skill tree (src/utils/log.js uses fs to create and write logs). This is normal for a CLI tool but note that local files storing query results will be created.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install xiaohongshu-tool
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /xiaohongshu-tool 触发
  4. 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
v1.0.2
- Major codebase refactor: unified previous lib/ and scripts/ directories into a new src/ structure for improved modularity and maintainability. - Added utility and validation modules (logging, retry, request, key management, general utilities), enhancing reliability and code organization. - Updated CLI entry points to src/xiaohongshu/search-cli.js and src/xiaohongshu/detail-cli.js for more intuitive usage. - Improved command-line arguments: added short flags, clarified required fields, and strengthened URL validation. - Upgraded documentation with detailed usage instructions, example commands, and environment/setup notes. - Raised minimum supported Node.js version to 16.14.0.
v1.0.1
- 新增小红书笔记详情与评论情绪分析功能,支持通过笔记链接获取详细数据。 - 增强关键词搜索脚本,支持更丰富的查询选项与数据输出格式。 - 技能名称由“xiaohongshu-search”升级为“xiaohongshu-tool”,能力范围拓展。 - 入口脚本区分搜索与详情,CLI用法更加清晰。 - 技能文档全面更新,补充更多用例与参数说明。
v1.0.0
xiaohongshu-search v1.0.0 - 首发上线:实现小红书关键词搜索与数据洞察自动化工具。 - 支持热门笔记挖掘、竞品分析、KOL筛选和趋势监控等核心商业分析功能。 - 增加多选项参数(类型、排序、输出格式、结果数量)灵活定制搜索。 - 支持JSON与Markdown两种数据输出格式。 - 提供开放式命令行用法与使用示例,适配 Node.js 16+ 环境。 - 明确数据合规说明及环境变量配置要求。
元数据
Slug xiaohongshu-tool
版本 1.0.2
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 3
常见问题

小红书商业洞察与竞品分析助手 是什么?

小红书运营全链路数据工具|支持关键词搜索/笔记详情查询/爆款挖掘/竞品分析/KOL筛选/趋势洞察,基于Node.js开发,可获取小红书图文/视频笔记的点赞/评论/收藏数据,用数据驱动小红书流量增长,告别盲目创作. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 206 次。

如何安装 小红书商业洞察与竞品分析助手?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install xiaohongshu-tool」即可一键安装,无需额外配置。

小红书商业洞察与竞品分析助手 是免费的吗?

是的,小红书商业洞察与竞品分析助手 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

小红书商业洞察与竞品分析助手 支持哪些平台?

小红书商业洞察与竞品分析助手 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 小红书商业洞察与竞品分析助手?

由 um-why(@um-why)开发并维护,当前版本 v1.0.2。

💬 留言讨论