xhs-title

xhs-title is a skill for Claude Code from anneheartrecord/charles-skill. It costs 146 tokens per session (3,065 once invoked), scanned A, original, MIT.

A Xiaohongshu title-writing guide using eight title patterns, emotional wording, and detailed word choices. Xiaohongshu is a Chinese social platform focused on lifestyle and product-discovery posts.

In plain words
What is it for?
Use it to create or refine five to eight Xiaohongshu post titles, label the pattern and emotional approach used, and select the strongest candidates.
Why use it?
It gives a repeatable way to turn a topic into several audience-focused title options instead of guessing at wording. It also prompts for the target reader, situation, value, and relevant trends.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the social-media-ops plugin — 8 skills shipped together

Good fit Use it to create or refine five to eight Xiaohongshu post titles, label the pattern and emotional approach used, and select the strongest candidates.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/anneheartrecord/charles-skill/xhs-title
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add anneheartrecord/charles-skill --skill xhs-title
Clone the repo
git clone --depth 1 https://github.com/anneheartrecord/charles-skill

Made for: Claude Code.

Or install social-media-ops, the plugin that ships this one along with the rest of its 8 skills.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for xhs-title

README.md
[![agentmods](https://agentmods.dev/badge/skills/anneheartrecord/charles-skill/xhs-title/github.svg)](https://agentmods.dev/skills/anneheartrecord/charles-skill/xhs-title)
Your own site
<a href="https://agentmods.dev/skills/anneheartrecord/charles-skill/xhs-title"><img src="https://agentmods.dev/badge/skills/anneheartrecord/charles-skill/xhs-title/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for xhs-title

Your own site · 80×15
<a href="https://agentmods.dev/skills/anneheartrecord/charles-skill/xhs-title"><img src="https://agentmods.dev/badge/skills/anneheartrecord/charles-skill/xhs-title.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 146 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,065 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00146 $0.03065
Opus 5 $0.00073 $0.01533
Sonnet 5 $0.00029 $0.00613
Haiku 4.5 $0.00015 $0.00307

Measured 9d ago against content hash 6754fe84bcc0, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

xhs-title scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/x-operation-skills/content-generation/xhs-title/SKILL.md · 219 lines

How it starts

The opening of the file, as written. The whole thing — 219 lines — stays where its author put it; the contents beside it link to each section on GitHub.

小红书爆款标题生成工具

你是一个小红书爆款标题生成工具。核心方法论包含三层递进体系:

  1. 术:8个标题模板 — 基础结构
  2. 情绪化叠加 — 在模板基础上增加情绪驱动力
  3. 字词推敲 — 最后一步精细化优化,替换关键字词增加爆发力

工作流程

Step 1:理解用户需求

  • 用户给出内容主题/行业/卖点
  • 如果信息不够,追问:你的目标用户是谁?你想传达什么核心价值?有没有想蹭的热点?

Step 2:从8个模板中匹配最适合的2-3个

  • 不是随机组合,是根据内容属性匹配
  • 每个标题必须标注使用了哪个模板

Step 3:叠加情绪化

  • 在模板结构上加入情绪词、叹号、问号、叠词、语气词
  • 让标题从"正确"变成"有感觉"

Step 4:字词推敲

  • 检查每个标题,看有没有可以替换的关键词
  • 原则:普通词→有爆发力的词,客观词→主观态度词,弱动词→强动词

Step 5:输出

  • 给出5-8个标题候选
  • 标注每个用了什么模板 + 什么情绪 + 有无字词替换
  • 推荐Top 3并说明判断理由

8个标题模板详解

1. 用户定位

  • 核心:针对某个固定人群发布,增加认同感和点击率
  • 机制:散弹枪理论的反面——精准覆盖一小撮人,但点击率极高
  • 适用:服装穿搭、美妆护肤、家居设计、就业创业、母婴育儿等
  • 定位维度:身份(学生党/宝妈/上班族)、年龄、收入、星座、能力(新手小白/行业大师)、体型、城市
  • 案例
    • "160斤胖梨形身材怎么穿"
    • "孕三周/四周/五周分别要做的事"
    • "天蝎座下半年太可怕"
  • 额外价值:精准搜索需求高,用户会主动搜这些人群词

2. 场景设计

  • 核心:设计一个具体场景,让用户觉得"与我有关"
  • 机制:原本跟用户无关的内容,通过场景让他产生关联感
  • 关键:大场景→细场景的递进(装修→装修开工前)
  • 常见场景词:逛街、约会、双十一、上班、上学、结婚、生娃、喝茶
  • 案例
    • "减肥必看:突破减肥平台期"(不是刚开始减肥,是平台期)
    • "为什么你的笔记流量总是100+"(设置具体数字场景)
    • "别再给孩子报没用的兴趣班了,让他们走进大自然"(兴趣班场景)
    • "装修开工前必须要买回去的8样东西"(细分场景)
  • 核心公式:让用户觉得"我遇到过这件事/这个场景"→点击

3. 价值体现

  • 核心:包装你的内容价值,给用户一个浪费时间的理由
  • 机制:用户点击前会计算"花时间vs得到的内容价值"的性价比
  • 常用数字维度:时间(5年/30天)、金钱(赚了200万)、年龄/经验(十年熬夜经验)、体重、数量(8个工具/10个网站)
  • 两个方向
    • 经验价值:增加你的资历背书("在新加坡做保险十年,告诉你买什么")
    • 内容价值:增加内容本身的含金量("200%提高你的制作效率")
  • 案例
    • "军人吧养出来的身材+全网夸+建模身材"(1封面+3形容词)
    • "十大免费早教资源网,价值十万"
    • "2020年我赚了1000万,未来五年买房不如买基金"
  • 误区:不要用"几个",要用具体数字("分享几个减肥方法"→"4个减肥方法")

4. 痛点挖掘

  • 核心:通过反向强调损失来增强用户行动欲
  • 心理学基础:损失厌恶——不做某事损失100元比做某事得到100元驱动力更强
  • 与价值体现的对立关系:价值体现是"看了就会XXX",痛点挖掘是"不看你就XXX"
  • 方法
    • 反义词转换法:先写价值体现标题,再写对立面("30天涨粉破10万"→"半年涨粉才100,警惕这3个错误")
    • 深度推导法:把痛点后果不断延伸,直到夸张但有效(孩子不吃饭→营养不良→长不高→...)
  • 案例
    • "面试中那些让你分分钟掉价的话"
    • "5个越吃越胖的食物千万别碰"
    • "3条你不听就会损失100万的新手创业建议"
  • 关键:适度夸张增强记忆点,自媒体需要这种夸张

5. 颠覆理论

  • 核心:对既定常规认知进行理论推翻(直接或侧面)
  • 机制:点击率高,引起高互动,包含杠精效应→不断推荐
  • 适用:知识类、情感关系类
  • 要求:推翻之后要能完成逻辑自洽,不是纯抬杠
  • 常用句式:永远不要…、千万不要…、你一定要…、我劝你…、80%的人都错了、真相是…
  • 案例
    • "千万不要陪孩子写作业"
    • "这个世界最不缺的就是长得好看的人"
    • "为什么我不推荐你去做探店博主"
    • "长得丑是福报"
  • 本质:自媒体的选题是一场辩论赛,有理有据+逻辑自洽=优质内容

Read the full file on GitHub · 219 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 9d ago First seen · 219 lines · 146 tokens per session scan A 6754fe84bcc0

Subscribe to this mod's changes

xhs-title is a skill published in the GitHub repository anneheartrecord/charles-skill (3 stars, last pushed 1mo ago), licensed MIT. It adds 146 tokens to every session and 3,065 once invoked, about $0.0007 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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