wechat-article-writer

wechat-article-writer is a skill for Claude Code, Codex from iamzhihuix/happy-claude-skills. It costs 57 tokens per session (624 once invoked), scanned A, original, MIT.

A workflow for writing Chinese-language articles for WeChat public accounts, including research, drafting, headline creation, and layout suggestions.

In plain words
What is it for?
Use it to research a subject, write a 1,000–1,500-word article, propose titles, and suggest placement for images, code, and highlighted passages.
Why use it?
It provides a repeatable process for turning a topic into a researched and formatted article rather than only producing rough text.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: mentions CLAUDE.md; mentions Claude Code.

Good fit Use it to research a subject, write a 1,000–1,500-word article, propose titles, and suggest placement for images, code, and highlighted passages.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/iamzhihuix/happy-claude-skills/wechat-article-writer
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 iamzhihuix/happy-claude-skills --skill wechat-article-writer
Clone the repo
git clone --depth 1 https://github.com/iamzhihuix/happy-claude-skills

Made for: Claude Code, Codex.

Its marketplace also offers this one on its own, as the plugin wechat-article-writer/plugin install wechat-article-writer after adding the marketplace above.

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 wechat-article-writer

README.md
[![agentmods](https://agentmods.dev/badge/skills/iamzhihuix/happy-claude-skills/wechat-article-writer/github.svg)](https://agentmods.dev/skills/iamzhihuix/happy-claude-skills/wechat-article-writer)
Your own site
<a href="https://agentmods.dev/skills/iamzhihuix/happy-claude-skills/wechat-article-writer"><img src="https://agentmods.dev/badge/skills/iamzhihuix/happy-claude-skills/wechat-article-writer/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 wechat-article-writer

Your own site · 80×15
<a href="https://agentmods.dev/skills/iamzhihuix/happy-claude-skills/wechat-article-writer"><img src="https://agentmods.dev/badge/skills/iamzhihuix/happy-claude-skills/wechat-article-writer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 57 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 624 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
  • Socket pass 2 Apr 2026
  • Snyk warn 2 Apr 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 $0.00057 $0.00624
Opus 5 $0.00028 $0.00312
Sonnet 5 $0.00011 $0.00125
Haiku 4.5 $0.00006 $0.00062

Measured 13d ago against content hash 154e432ba7ca, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

wechat-article-writer 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.

skills/wechat-article-writer/SKILL.md · 66 lines

What it actually says

公众号文章写作流程

4 步完成高质量公众号文章:搜索资料 → 撰写文章 → 生成标题 → 排版优化

Step 1: 搜索资料

使用 WebSearch 工具搜索主题相关资料:

搜索要求:
1. 并行搜索多个来源(官方文档、X/Twitter、Reddit、技术论坛)
2. 优先获取最新资料(当月/当季)
3. 可启动多个并行 Task 加速搜索
4. 深度总结搜索结果

Step 2: 撰写文章

必须先读取用户的 CLAUDE.md 获取写作风格

撰写要求:

  • 1000-1500 字
  • 故事化开头,带情感色彩(兴奋/焦虑/好奇)
  • 准备 2-3 个备选标题
  • 结构:效果展示 → 问题描述 → 步骤教学 → 升华总结
  • 遵循 CLAUDE.md 中定义的写作风格和结尾语

Step 3: 生成标题

生成 5 个爆款标题,特点:

  • 痛点明确:直击读者痛处("还在手动...")
  • 数字吸引:具体数字更有说服力("3分钟"、"5个技巧")
  • 结果导向:承诺具体收益("效率暴涨10倍")
  • 情绪调动:惊、神技、秘籍等词汇
  • 悬念设置:引发好奇心

Step 4: 排版优化

优化建议:

  1. 段落结构:每段 3-5 行,重要数据单独成段加粗
  2. 配图位置:标题下方封面图、步骤后效果图、结尾总结图
  3. 代码块:前后留白,语法高亮
  4. 金句:单独成段,增强记忆点

示例

用户请求:

帮我写一篇关于 Claude Code 使用技巧的公众号文章

执行流程:

  1. 搜索 Claude Code 最新功能和使用技巧
  2. 读取 CLAUDE.md 获取写作风格
  3. 撰写 1200 字左右的教程文章
  4. 生成 5 个爆款标题供选择
  5. 提供排版和配图建议
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 · 66 lines · 57 tokens per session scan A 154e432ba7ca

Subscribe to this mod's changes

wechat-article-writer is a skill published in the GitHub repository iamzhihuix/happy-claude-skills (306 stars, last pushed 4mo ago), licensed MIT. It adds 57 tokens to every session and 624 once invoked, about $0.0003 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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