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Xhsfenxi
作者
Cosmos Fang
· GitHub ↗
· v2.1.0
· MIT-0
136
总下载
0
收藏
0
当前安装
2
版本数
在 OpenClaw 中安装
/install xhsfenxi
功能描述
小红书博主分析全流程 skill — 拆解账号定位、提炼爆款选题公式、输出结构化报告和商业版 Word。内置三型博主分类体系（荒诞美学型 / 共鸣命名型 / 现实策略型），基于多位真实博主的深度分析沉淀。支持单账号深度拆解、多账号对比、自定义学习报告，证据分级（公开主页→截图→第三方公开资料→推断），所有交付物可...
安全使用建议
This skill appears coherent and matches its stated purpose. Before installing or using it: (1) confirm you have Node >=18 if you intend to run the included scripts; (2) understand that deep analysis requires you to provide public links or screenshots—do not upload private credentials or unrelated files; (3) the SKILL references local Python docx tools stored in a separate archive (not bundled), so producing the Word deliverables as described may require you to obtain or run external scripts; (4) if you need higher assurance, inspect the included JS files (they only print templates/prompts) and test in a sandboxed agent environment before giving it access to sensitive data.
功能分析
Type: OpenClaw Skill
Name: xhsfenxi
Version: 2.1.0
The xhsfenxi skill bundle is a structured workflow for analyzing Xiaohongshu (XHS) creators. It includes Node.js scripts (archetype.js, docx-plan.js, intake.js, report-plan.js) that function as CLI utilities to print templates and execution plans. The SKILL.md and reference files provide detailed instructions for an AI agent to perform research using standard browser tools and generate reports. While the workflow references external Python scripts for Word document generation (e.g., build_docx6.py) located in a specific local path, the provided code contains no evidence of malicious intent, data exfiltration, or harmful prompt injection.
能力评估
Purpose & Capability
Name/description (Xiaohongshu creator analysis → archetypes, topic formulas, Word/Markdown reports) match the included assets: SKILL.md, templates, workflow, and small helper Node scripts that produce prompts/templates. The package.json and scripts are appropriate for generating intake prompts, archetype prompts, and docx-generation plans.
Instruction Scope
SKILL.md explicitly limits itself to public evidence, asks for user-provided links/screenshots, and cautions not to fake access to private detail pages—this stays within scope. Note: the workflow and docx-generation docs reference external/local Python scripts and an archive path (~/Desktop/.../openclaw_cosmo/...), which are not bundled; producing the final .docx as described therefore requires external tools not included with the skill. Also be aware that when you supply screenshots/links you may be sending private content to the agent for analysis.
Install Mechanism
No install spec; the skill is instruction-first with small helper Node scripts. No downloads from remote URLs or archive extraction are present in the package. Runtime metadata indicates Node >=18, which matches the included scripts.
Credentials
The skill declares no required environment variables, no credentials, and no config paths. The runtime instructions do not ask for secrets or unrelated system credentials. It only asks for user-provided links/screenshots when deep analysis is required.
Persistence & Privilege
Skill does not request always:true and uses default agent invocation settings. The package contains only reporting/helper scripts and templates; there is no evidence it attempts to modify other skills or system-level configuration.
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 xhsfenxi - 安装完成后，直接呼叫该 Skill 的名称或使用
/xhsfenxi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
v2.1.0
xhsfenxi 2.1.0
- Switches report generation to always output three standard DOCX files directly—intermediate Markdown step is no longer needed.
- Updated skill workflow and documentation to clarify that all deliverables are produced as DOCX by default.
- Refined instructions in SKILL.md for file naming, output process, and business deliverable workflows.
- Reference templates and scripts updated to align with new DOCX-first output approach.
- Package and metadata updated to reflect these workflow changes.
v2.0.0
xhsfenxi 2.0.0
- Major update: introduces a comprehensive, structured workflow for Xiaohongshu creator analysis and benchmarking.
- Adds detailed guidance and classification for the "three archetype" system (荒诞美学型 / 共鸣命名型 / 现实策略型).
- Supports single account deep dives, multi-account comparisons, and rapid archetype identification.
- Expands evidence grading, input gathering, and deliverable types (Markdown/business Word reports).
- Workflow and deliverables can now be tailored for content strategy, topic formulas, or business reporting needs.
元数据
常见问题
Xhsfenxi 是什么？
小红书博主分析全流程 skill — 拆解账号定位、提炼爆款选题公式、输出结构化报告和商业版 Word。内置三型博主分类体系（荒诞美学型 / 共鸣命名型 / 现实策略型），基于多位真实博主的深度分析沉淀。支持单账号深度拆解、多账号对比、自定义学习报告，证据分级（公开主页→截图→第三方公开资料→推断），所有交付物可... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 136 次。
如何安装 Xhsfenxi？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install xhsfenxi」即可一键安装，无需额外配置。
Xhsfenxi 是免费的吗？
是的，Xhsfenxi 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Xhsfenxi 支持哪些平台？
Xhsfenxi 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 Xhsfenxi？
由 Cosmos Fang（@cosmofang）开发并维护，当前版本 v2.1.0。
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