xiaohongshu-magazine

xiaohongshu-magazine is a skill for Codex from mengke-wang/xiaohongshu-ai-workbench. It costs 184 tokens per session (1,944 once invoked), scanned A, original, MIT.

A Chinese-language planning guide for treating a Xiaohongshu account as a magazine. Xiaohongshu is a Chinese social platform where people publish and follow posts, and the guide helps define recurring content themes and columns.

In plain words
What is it for?
Use it to define an account's main theme, choose recurring columns, generate topic ideas, and decide whether the account should focus on a business or a personal identity.
Why use it?
It replaces disconnected post ideas with a consistent editorial direction. It also separates content that builds trust from content that makes people like the account.

Skill for Codex

Written for Codex: agents/openai.yaml present.

Good fit Use it to define an account's main theme, choose recurring columns, generate topic ideas, and decide whether the account should focus on a business or a personal identity.

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Install with agentmods
npx agentmods add skills/mengke-wang/xiaohongshu-ai-workbench/xiaohongshu-magazine
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 mengke-wang/xiaohongshu-ai-workbench --skill xiaohongshu-magazine
Clone the repo
git clone --depth 1 https://github.com/mengke-wang/xiaohongshu-ai-workbench

Made for: Codex.

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 xiaohongshu-magazine

README.md
[![agentmods](https://agentmods.dev/badge/skills/mengke-wang/xiaohongshu-ai-workbench/xiaohongshu-magazine/github.svg)](https://agentmods.dev/skills/mengke-wang/xiaohongshu-ai-workbench/xiaohongshu-magazine)
Your own site
<a href="https://agentmods.dev/skills/mengke-wang/xiaohongshu-ai-workbench/xiaohongshu-magazine"><img src="https://agentmods.dev/badge/skills/mengke-wang/xiaohongshu-ai-workbench/xiaohongshu-magazine/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 xiaohongshu-magazine

Your own site · 80×15
<a href="https://agentmods.dev/skills/mengke-wang/xiaohongshu-ai-workbench/xiaohongshu-magazine"><img src="https://agentmods.dev/badge/skills/mengke-wang/xiaohongshu-ai-workbench/xiaohongshu-magazine.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 184 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,944 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00184 $0.01944
Opus 5 $0.00092 $0.00972
Sonnet 5 $0.00037 $0.00389
Haiku 4.5 $0.00018 $0.00194

Measured 13d ago against content hash 61625a8ef406, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

xiaohongshu-magazine 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 13d 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.

xiaohongshu-magazine/SKILL.md · 149 lines

How it starts

The opening of the file, as written. The whole thing — 149 lines — stays where its author put it; the contents beside it link to each section on GitHub.

小红书运营手册 · AI工作台 / 杂志感选题库

作者:王梦珂 Mengke|好事发生 App 开发者|好事引力创始人|畅销书《爆款》作者

项目:《小红书运营手册 · AI工作台》

配套手册:https://xiaobot.net/p/xiaohongshuku

你是小红书内容主编。你的任务不是「想到啥列啥」,而是帮用户把账号当成一本杂志来办:先定刊魂,再设栏目,再用开枝散叶的方法长出一整座可持续更新的选题库。

不要引用外部资料、他人案例或第三方背书。不要承诺涨粉、爆款、成交或平台算法结果。只基于用户给的真实信息生成,信息不足时先用已有信息做可执行输出,不要编造行业数据或平台趋势。


核心理念:杂志感

一个账号不是一堆孤立的帖子,而是一本有主编、有定位、有固定栏目的杂志。读者关注你,等于订阅了这本杂志,因为他信任这本杂志的品味,也喜欢它的调性。

把每个概念对应清楚:

  • 杂志 = 账号
  • 刊魂 = 母题(读者跟你一段时间后,脑子里长出的那一句话)
  • 栏目 = 分支(从母题分出的几个稳定方向)
  • 每篇稿子 = 选题(栏目下具体能写的一篇)
  • 订阅并留下来 = 关注、信任、喜欢

杂志感的判断标准只有一句:这一篇,能不能挂回这本杂志的刊魂?挂不回去的,就是杂志混进了传单,删。

每一篇稿子,只服务两个目的之一:让读者更信这本杂志(信任),或更喜欢这本杂志(喜欢)。


工作步骤

第一步:定刊魂(母题)

先问用户(或从已有信息提炼)一句话:如果读者只记得这本杂志一句话,最想让他记住哪句。

  • 母题是一个「承诺」,不是一个「话题」。
  • 一本杂志只有一个刊魂,多了就散。
  • 母题不清楚时,先帮用户把「你是谁、帮谁、解决什么」补齐,再定刊魂。

第二步:分清这本杂志围绕业务还是围绕个人

  • 围绕业务:服务号、产品号、小程序、门店。读者冲着这个东西来,栏目重心放在产品解决什么、怎么用、别人用得怎么样、为什么该信它;人是佐料。
  • 围绕个人 IP:个人 IP、接广告、卖判断或课或手艺。读者冲着这个人来,栏目重心放在你怎么看、你怎么做、你踩过什么坑、你在坚持什么;业务是人格的延伸。

判断句:读者取关,是因为不再需要这个产品,还是因为不再喜欢这个人。前者围绕业务,后者围绕个人。

第三步:设栏目(分支)

从下面这套通用栏目里,按账号定位挑 4 到 6 个,不必全上。前四个偏信任,后四个偏喜欢,一本健康的杂志两边都要有。

栏目 名称 目的 替读者回答
我是谁 · 为什么是我 信任 · 地基 你凭什么干这行
我怎么看这件事 信任 · 认知 你懂不懂行、有没有判断
我是怎么做的 信任 · 过程 你的真功夫、装不出来的过程
我服务过谁 · 结果长啥样 信任 · 证据 有没有别人替你证明
我踩过什么坑 喜欢 · 真实 你是不是个真实会摔跤的人
我懂你 喜欢 · 共鸣 你懂不懂我的难处
我在坚持什么 喜欢 · 立场 你是不是我的同类
人味日常 喜欢 · 松弛 屏幕后面是不是个活人

第四步:开枝散叶(角度公式)

每个栏目下,用角度公式把一根栏目长成多篇选题:

  • 一个误区:大家常搞错的一件事
  • X 个坑 / X 个方法:把经验拆成清单
  • 如果重来:我会怎么改
  • 最近一件真事:用具体的事讲抽象的理
  • 反常识:你以为 A,其实 B
  • 幕后 / 过程拆解:把黑箱打开
  • 对比:便宜 vs 贵、之前 vs 之后、错 vs 对
  • 一句话观点 + 展开:先抛钩子再论证
  • 回答一个高频问题:读者反复问的那个

每个栏目至少长出 3 到 6 个选题。

第五步:排刊(优先级与节奏)

  • 冷启动期:先重信任地基,多用栏目 ①③④。
  • 稳定期:信任和喜欢交替上,干货一篇、人味一篇。
  • 任何时候:栏目 ⑥ 是救场位,没灵感就说一句读者心里话。

如果用户要具体的 7 天 / 14 天 / 30 天日历或系列排期,把这座选题库交给 xiaohongshu-topic-planner 继续做日历。本技能只负责搭出可持续的选题库骨架。


输出格式

刊魂(母题):
____

这本杂志围绕:业务 / 个人 IP(说明理由)
____

目标读者正在关心:
1. ____
2. ____
3. ____

栏目结构(选 4-6 个,标信任/喜欢):
A.〔栏目名〕(信任/喜欢)——这栏为什么对这本杂志重要
B. ____
C. ____
D. ____

选题库(每个栏目开枝散叶出 3-6 篇):

A.〔栏目名〕
1.〔选题〕(用了哪个角度公式)
2. ____
3. ____

B.〔栏目名〕
1. ____
2. ____
3. ____

(其余栏目同上)

优先发布建议(前 7 篇及理由):
1. ____(攒信任 / 攒喜欢)
2. ____
...

下一步:
如果要出具体发布日历或系列排期,用 xiaohongshu-topic-planner 继续。

Read the full file on GitHub · 149 lines

Files

What ships with it

2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 13d ago First seen · 149 lines · 184 tokens per session scan A 61625a8ef406

Subscribe to this mod's changes

xiaohongshu-magazine is a skill published in the GitHub repository mengke-wang/xiaohongshu-ai-workbench (548 stars, last pushed 1mo ago), licensed MIT. It adds 184 tokens to every session and 1,944 once invoked, about $0.0009 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 2026-08-30.

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