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Install in OpenClaw
/install xiaohongshu-tool
Description
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
Usage Guidance
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.
Capability Analysis
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.
Capability Assessment
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.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install xiaohongshu-tool - After installation, invoke the skill by name or use
/xiaohongshu-tool - Provide required inputs per the skill's parameter spec and get structured output
Version History
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。
Metadata
Frequently Asked Questions
What is 小红书商业洞察与竞品分析助手?
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. It is an AI Agent Skill for Claude Code / OpenClaw, with 206 downloads so far.
How do I install 小红书商业洞察与竞品分析助手?
Run "/install xiaohongshu-tool" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is 小红书商业洞察与竞品分析助手 free?
Yes, 小红书商业洞察与竞品分析助手 is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does 小红书商业洞察与竞品分析助手 support?
小红书商业洞察与竞品分析助手 is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created 小红书商业洞察与竞品分析助手?
It is built and maintained by um-why (@um-why); the current version is v1.0.2.
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