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Agent Skill · 研究检索

xhsfenxi(xhsfenxi 文档)

xhsfenxi 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

xhsfenxi 是研究检索类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为操作浏览器;许可证为 MIT-0,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 24,220。

总安装 4,072周安装 168GitHub Stars 公开资料未说明下载 1,331核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT-0
版本
2.1.0

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:xhsfenxi(xhsfenxi 文档)
来源仓库:https://github.com/cosmofang/xhsfenxi
安装命令:
openclaw skills install xhsfenxi
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install xhsfenxi

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

深度拆解小红书博主账号定位与爆款公式,输出结构化分析报告。适用于MCN机构、品牌方与学习者进行竞品研究与方法论沉淀。内置三型分类体系与证据分级机制,确保分析结果客观可信。支持单账号或多账号对比,交付物包含Word版商业报告与可视化图表。所有推断需标注来源,避免将假设当作事实进行传播与使用。

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 OpenClaw;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 openclaw skills install xhsfenxi;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要操作浏览器,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

xhsfenxi 怎么安装?

在终端执行 openclaw skills install xhsfenxi。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

xhsfenxi 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

xhsfenxi 需要什么权限?

权限级别是操作浏览器。该 Skill 可能涉及浏览器控制能力,使用时可能读取或操作网页内容,需要在受控环境中确认权限边界。

xhsfenxi 是免费的吗?

来源标注的许可证是 MIT-0。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

xhsfenxi 用的人多吗?

公开数据是累计安装 4,072 次,近一周安装 168 次,下载 1,331 次。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

xhsfenxi 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 OpenClaw,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。
  • 需要许可证清楚、并且有第三方扫描结果的团队项目。

不太适合

  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
xhsfenxi

xhsfenxi 文档 · 本页

4,072—操作浏览器MIT-0通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

name
xhsfenxi
description
|
keywords
metadata
openclaw
runtime
node
>=18

xhsfenxi — 小红书博主分析 Skill

公开页分析 · 三型博主分类 · 爆款选题公式提炼 · 多账号对比 · Markdown/商业Word交付

When to Use

Use this skill when the user asks to:

  • analyze a Xiaohongshu / RED creator account
  • identify which archetype a creator belongs to (荒诞美学型 / 共鸣命名型 / 现实策略型)
  • summarize an account's positioning, audience, style, or content pillars
  • extract a viral topic formula or reusable content method
  • compare two or more benchmark creators
  • learn what can be copied vs what must stay differentiated
  • turn the analysis into a Markdown report, Word report, or business-style deliverable

Typical trigger phrases:

  • "分析这个小红书博主"
  • "拆一下这个账号"
  • "做爆款选题公式"
  • "帮我做对标分析"
  • "做成商业版 Word"
  • "这个博主是哪一型?"
  • "compare these two RED creators"
  • "extract the topic formula from this account"

Three-Archetype Classification System

Distilled from real analyses of multiple Xiaohongshu creators.

Type A — 荒诞美学型 (Absurdist Aesthetics)

Representative archetype:

Core pattern: wraps serious or philosophical content in absurdist humor and high-quality visuals.

DimensionCharacteristics
Content kernelAbsurdist filter on everyday life; philosophical undertone
What users getEntertained + moved + aesthetically immersed
Title mechanismContrast (grand setting × mundane action) + unified brand symbol
Brand symbolA single recurring tag, e.g. "(劲爆)"
Expression styleHumorous, high-production, literary naming
Commercial fitHigh-end lifestyle, travel, photography, luxury brands
Replication difficultyHigh — depends on accumulated visual aesthetic sensibility

Identifying markers:

  • All content tied together by a signature phrase or visual symbol
  • Serious topics expressed lightly; absurd topics expressed earnestly
  • Titles feel like literary naming, not just descriptions

Type B — 共鸣命名型 (Resonance & Naming)

Representative archetype:

Core pattern: translates personal experience into universally relatable life-stage propositions, named in memorable ways.

DimensionCharacteristics
Content kernelYouth growth, worldview expression, life-stage naming
What users getUnderstood + named + given a new perspective
Title mechanismProposition feeling + metaphor + judgment
Brand symbolSignature conceptual phrases and naming patterns
Expression styleWarm, perceptive, aesthetically refined
Commercial fitGrowth/education/creative platforms, mid-range lifestyle
Replication difficultyMedium — method learnable, requires genuine observation

Identifying markers:

  • Content "names" vague emotional states people couldn't articulate
  • Private experience → universal proposition
  • Titles read like thoughtful questions or redefinitions

Type C — 现实策略型 (Reality & Strategy)

Representative archetype:

Core pattern: breaks down unspoken real-world rules and provides executable strategies for ordinary people to move upward.

DimensionCharacteristics
Content kernelOrdinary woman's upward mobility, reality rule-breaking
What users getValidated + activated + empowered with actionable moves
Title mechanismConflict words + counter-intuitive framing + strong stance
Brand symbolSelf-labeling with perceived weakness (先夺走羞耻感)
Expression styleSharp, realistic, strong-attitude conclusions
Commercial fitMass consumer, career, e-commerce, practical tools
Replication difficultyMedium — framework learnable; don't copy the surface aggression

Identifying markers:

  • Titles feel slightly improper but undeniably accurate
  • Each piece breaks an unspoken rule or collapses an information gap
  • Users feel "刺但有用" — uncomfortable but useful

Mixed Formula (Advanced)

The most powerful content often combines two archetypes:

Type B resonance/naming × Type C reality/strategy = Content that both "understands you" and "tells you what to do next"

Use scripts/archetype.js to quickly identify which archetype(s) an account fits.


Core Operating Rules

  1. Use public evidence first. Prefer search pages, homepage/profile pages, and other publicly visible surfaces.
  2. Do not fake detail-page access. If post detail pages are blocked by risk control, say so clearly.
  3. Grade evidence quality. Treat sources in this order:

- Level A: visible Xiaohongshu public pages / user screenshots - Level B: other public sources (podcasts, interviews, encyclopedias, analytics sites) - Level C: synthesis / inference based on repeated visible patterns

  1. Do not present public estimates as backend truth. Third-party follower or pricing data are supporting clues, not audited facts.
  2. Ask for 3–10 representative post links or screenshots when the user wants deep post-level analysis.
  3. Deliver something useful even when blocked. If detail pages fail, still produce a homepage-level strategic report.
  4. Always identify the archetype. Every analysis should name which of the three types (or hybrid) the account belongs to — this frames the entire report.

Default Workflow

1) Clarify the task shape

Lock the requested output mode before heavy research:

  • Structured account report
  • Viral topic formula
  • Archetype identification
  • Two-or-more-account comparison
  • "How to learn from this creator without copying them"
  • Business-style Word deliverable

Use scripts/intake.js for a fast intake template.

2) Gather source inputs

Collect whatever the user already has:

  • account name
  • Xiaohongshu homepage/search URL
  • screenshots
  • external links (podcasts, news, interviews)
  • target output path
  • whether they need Word / clickable TOC / business styling

3) Research with the source ladder

Read references/workflow.md for the full ladder.

Preferred tool pattern:

  • web_search for public discovery
  • browser or browser-use for homepage/search-page inspection
  • web_fetch for readable public pages
  • image for screenshot analysis
  • read for any local Markdown reports already created

4) Classify the archetype

Before deep analysis, make a preliminary archetype call:

  • Run node scripts/archetype.js <creator-name> to print the classification prompt
  • Answer: Type A (荒诞美学) / Type B (共鸣命名) / Type C (现实策略) / Mixed
  • The archetype frames the entire lens of the analysis

5) Build the account model

Extract and write down the five layers:

  1. Identity — who the creator is framed as
  2. Audience contract — why people follow them
  3. Topic system — what recurring problems/desires they cover
  4. Expression system — how titles and openings work, including any brand symbol
  5. Transferability — what another account can actually learn

6) Produce the deliverables

Always output the three standard DOCX files directly — no intermediate Markdown step needed:

Output fileWhen to produce
账号名-结构化总结报告.docxSingle creator analysis
账号名-爆款选题公式.docxSingle creator topic formula
选题公式学习-综合版.docxMulti-creator comparison

Use scripts/docx-plan.js <creator-name> to get the exact build command. See references/workflow.md for the Word TOC fix checklist if needed.


Deliverables

Three standard output files. Always produce as .docx directly.

账号名-结构化总结报告.docx

Single creator full breakdown. Sections:

  1. Account snapshot
  2. Archetype classification + rationale
  3. Strategic positioning
  4. Audience and emotional contract
  5. Content pillars
  6. Title / hook system + brand symbol analysis
  7. Narrative structure
  8. Commercialization clues
  9. What to learn
  10. What not to blindly copy
  11. Conclusion

账号名-爆款选题公式.docx

Single creator topic formula. Sections:

  1. Why this creator produces strong topics (archetype-based)
  2. Total formula
  3. 3–6 recurring topic models
  4. Title formulas
  5. Body structure formulas
  6. Distribution / comment triggers
  7. How to migrate to another account
  8. 10–30 ready-to-use topic directions

选题公式学习-综合版.docx

Multi-creator comparison. Sections:

  1. Why compare these creators together
  2. Archetype map
  3. Shared foundations + key differences
  4. Hybrid formula
  5. Which path fits which use case
  6. 30 combined topic directions
  7. Final recommendation

Word Output

Run node scripts/docx-plan.js <creator-name> to get the exact build command.

Standard build: python3 build_docx6.py <creator-name>

If TOC / bookmark issues appear: run inspect_docx.py then fix_final2.py. See references/workflow.md for the full fix checklist.


Output Files

Three files, always .docx:

  • 账号名-结构化总结报告.docx
  • 账号名-爆款选题公式.docx
  • 选题公式学习-综合版.docx (comparison / multi-creator)

Use scripts/report-plan.js <creator-name> to confirm filenames.


Scripts

CommandPurpose
node scripts/intake.jsPrint a structured intake template for a new analysis task
node scripts/intake.js --jsonSame as above, JSON format
node scripts/archetype.js <creator-name>Print the archetype classification prompt
node scripts/archetype.js <creator-name> --quickPrint a quick-read archetype cheatsheet
node scripts/report-plan.js <creator-name>Print recommended deliverables and filenames
node scripts/report-plan.js <A> <B> --mode comparePrint a comparison deliverable plan
node scripts/docx-plan.js <creator-name>Print Word generation plan using build_docx*.py

Limitation Policy

Always state which situation applies:

  • Homepage-level only: enough for strategic analysis, not enough for exact post-body claims
  • Mixed-source analysis: Xiaohongshu public pages + third-party public clues
  • Deep-dive mode: based on user-provided screenshots / links / transcripts

If blocked by risk control, say so and continue with the strongest available public evidence.


What Good Output Looks Like

A strong output is:

  • structured
  • archetype-aware (names and reasons the type)
  • evidence-aware (grades sources)
  • strategically useful
  • honest about access limits
  • directly reusable in future reports

Avoid vague praise, empty creator admiration, or unsupported claims about hidden metrics.


References

Read only when needed:

  • references/workflow.md — detailed evidence ladder, execution runbook, Word TOC fix guide
  • references/templates.md — report templates, archetype-specific section structures, naming patterns

Proven Analyses Archive

Three full analyses have been completed and archived in:

openclaw_cosmo/afa/小红书分析与工作流归档/01-分析报告与选题公式/
ArchetypeTypeKey Insight
荒诞美学型Type A品牌符号 + 反差标题 + 哲思轻量化输出
共鸣命名型Type B私人经历→公共命题,给模糊状态命名
现实策略型Type C困境→说破→规则→策略→爽感

These archetypes are the ground truth for the classification system.


*Version: 2.1.0 · Created: 2026-04-08 · Updated: 2026-04-09*

平台分布

OpenClaw

76.42%
按下载量换算1,017

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

操作浏览器

该 Skill 可能涉及浏览器控制能力,使用时可能读取或操作网页内容,需要在受控环境中确认权限边界。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。目前只有一个公开来源,建议同时核对源仓库。

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