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Xhsfenxi
by
Cosmos Fang
· GitHub ↗
· v2.1.0
· MIT-0
136
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Install in OpenClaw
/install xhsfenxi
Description
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...
Usage Guidance
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.
Capability Analysis
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.
Capability Assessment
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.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install xhsfenxi - After installation, invoke the skill by name or use
/xhsfenxi - Provide required inputs per the skill's parameter spec and get structured output
Version History
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.
Metadata
Frequently Asked Questions
What is Xhsfenxi?
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... It is an AI Agent Skill for Claude Code / OpenClaw, with 136 downloads so far.
How do I install Xhsfenxi?
Run "/install xhsfenxi" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Xhsfenxi free?
Yes, Xhsfenxi is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Xhsfenxi support?
Xhsfenxi is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Xhsfenxi?
It is built and maintained by Cosmos Fang (@cosmofang); the current version is v2.1.0.
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