ArticleSkill CLAUDE.md

ArticleSkill CLAUDE.md is an instructions file for coding agents from TanShilongMario/ArticleSkill. It costs 2,819 tokens per session, scanned A, original, MIT.

A set of instructions for Claude Code working on a Chinese-language article-writing system. It describes the system, its writing-method files, author-profile setup, and required workflow.

In plain words
What is it for?
It helps guide article creation, including checking the author profile, reading writing skills, studying existing articles, researching current topics, and generating titles.
Why use it?
It tells the agent how to load the relevant writing guidance, learn the author's style, and keep generated articles consistent with that style.

Instructions file

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.

agentmods
npx agentmods add instructions/tanshilongmario/articleskill/claude-md
Clone the repo
git clone --depth 1 https://github.com/TanShilongMario/ArticleSkill

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 ArticleSkill CLAUDE.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/tanshilongmario/articleskill/claude-md.svg)](https://agentmods.dev/instructions/tanshilongmario/articleskill/claude-md)
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<a href="https://agentmods.dev/instructions/tanshilongmario/articleskill/claude-md"><img src="https://agentmods.dev/badge/instructions/tanshilongmario/articleskill/claude-md.svg" alt="Measured on agentmods" height="20"></a>
Per session 2,819 This file is loaded in full into every session.
When invoked 2,819 The same file — it is already loaded in full.
Security scan A 0 findings. Scan, not verified.
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 $0.02819 $0.02819
Opus 5 $0.01409 $0.01409
Sonnet 5 $0.00564 $0.00564
Haiku 4.5 $0.00282 $0.00282

Measured 5d ago against content hash 320276e8d3dc, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

ArticleSkill CLAUDE.md 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 5d 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.

CLAUDE.md · 279 lines

How it starts

The opening of the file, as written. The whole thing — 279 lines — stays where its author put it; the contents beside it link to each section on GitHub.

CLAUDE.md

本文件为 Claude Code (claude.ai/code) 在此代码库中工作时提供指导。

系统概述

这是一个中文文章写作 Skill 系统,专为公众号内容创作设计。它提供了一个综合性的 AI 辅助写作工作流程,能够学习作者风格并生成高质量、引人入胜的文章。

系统由多个 Markdown "技能文件"组成,它们协同工作,而非独立工具。

核心系统要求

最重要的原则:当用户请求文章创作时,AI 必须:

  1. 同时读取所有技能文件 - 绝不依赖单一技能文件
  2. 学习作者的写作风格 - 从 作者配置.md 和现有文章中学习
  3. 搜索相关热点话题 - 使用 WebSearch 确保内容时效性
  4. 保持人设一致性 - 严格遵循作者配置

核心架构

技能文件位置

skills/ 目录包含所有技能文件:

  • 作者配置.md(作者配置 - 模板:作者配置模板.md
  • 公众号爆款写作.md(核心写作方法论)
  • 深度认知写作.md(认知升级型内容框架)
  • 文章创作工作流程.md(完整工作流程 - AI 必须遵循)
  • 热点分析工具.md(热点话题分析)
  • 写作辅助工具.md(实用命令)
  • 去AI化润色.md(去AI化文本润色)
  • 快速参考.md(快速查询卡片)

文件组织结构

skills/
├── 作者配置.md              # 作者人设和风格(必读)
├── 系统说明.md              # 系统架构说明
├── README.md                # 使用指南
└── [其他技能文件].md         # 写作方法论文件

作者配置系统

首次使用设置: 用户必须复制 作者配置模板.md作者配置.md 并填写:

  • 基本信息(笔名、身份、领域、背景)
  • 人设标签(亲和力强、专业严谨、幽默风趣、极简干货)
  • 内容特点(痛点驱动、产品思维等)
  • 价值主张
  • 情绪表达习惯
  • 自嘲风格
  • 写作偏好(开头方式、段落长度、术语使用)

AI 行为规则:

  • 如果 作者配置.md 存在:读取并提取人设特征
  • 如果缺失:引导用户填写或询问核心人设问题
  • 始终引用此文件以保持风格一致性

写作工作流程

当用户说"我要写一篇关于[主题]的文章"时:

第一阶段:资源加载(必须)

  1. 检查 作者配置.md 是否存在
  2. 读取 skills/ 中的所有技能文件
  3. 从 2-3 篇现有文章中学习作者风格
  4. 使用 WebSearch 搜索热点话题

第二阶段:标题生成

生成 4 种类型的爆款标题:

  • 冲突对比型:"我都不知道自己写了什么代码,但它在Github上火了"
  • 疑问引导型:"AI工具,到底是一个均衡器,还是一个放大器?"
  • 数字+效果型:"600星背后:我的AI工具开发日记"
  • 否定+反转型:"别再用关键词试错了!MJ风格库+NanoBanana"

第三阶段:结构生成

三种文章模板:

  • 工具介绍型:开头(150) → 痛点(350) → 方案(700) → 创作故事(500) → 迭代(350) → 价值升华(250) → 行动号召(100) = 2000-3000字
  • 方法教程型:金句开场(100) → 问题分析(350) → 工具介绍(550) → 实操演示(700) → 效果(250) → 总结(200) → 互动(100) = 2000-2500字
  • 深度思考型:问题引入(200) → 背景(450) → 历史(300) → 核心分析(900) → 深度追问(300) → 留白(100) = 2500-3500字

第四阶段:内容创作

关键要求:

  • 使用作者的声音(第一人称"我",如适用)
  • 分享失败和挫折(真实感)
  • 情绪表达(符合作者配置)
  • 适度自嘲(根据风格)
  • 赋能读者:"连我也能做到"
  • 关键:减少条目式输出 - 使用流畅的段落

第五阶段:优化与质量检查

  • 内容优化(风格调整)
  • 去AI化处理(去除AI味)
  • 爆款要素检查
  • 风格一致性检查

核心写作原则

减少条目式输出

这是最重要的原则。

避免使用:

1. 首先,你要做A
2. 然后,你要做B
3. 最后,你要做C

采用:

做这件事的时候,大多数人会直接从A开始。但我的建议是,先花点时间
想清楚B,然后再回头做A。为什么?因为[原因]。至于C,那是水到渠成
的事,不用急。

Read the full file on GitHub · 279 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. 5d ago First seen · 279 lines · 2,819 tokens per session scan A 320276e8d3dc

Subscribe to this mod's changes

ArticleSkill CLAUDE.md is an instructions file published in the GitHub repository TanShilongMario/ArticleSkill (168 stars, last pushed 7mo ago), licensed MIT. It adds 2,819 tokens to every session, about $0.0141 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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