zhy-wechat-writing

zhy-wechat-writing is a skill for Claude Code, Codex from zhylq/yuan-skills. It costs 36 tokens per session (6,324 once invoked), scanned A, original, MIT.

A workflow for creating a complete WeChat Official Account article, optionally including research, source tracking, illustrations, HTML conversion, and saving it as an unpublished draft.

In plain words
What is it for?
Use it to write an article from a topic and optional URLs, collect evidence, add illustrations, convert the article for WeChat, and save it to the draft box without publishing.
Why use it?
It organizes research, writing, references, images, and formatting in one repeatable process, so the article's supporting material can be traced later.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to write an article from a topic and optional URLs, collect evidence, add illustrations, convert the article for WeChat, and save it to the draft box without publishing.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/zhylq/yuan-skills/zhy-wechat-writing
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 zhylq/yuan-skills --skill zhy-wechat-writing
Clone the repo
git clone --depth 1 https://github.com/zhylq/yuan-skills

Made for: Claude Code, 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 zhy-wechat-writing

README.md
[![agentmods](https://agentmods.dev/badge/skills/zhylq/yuan-skills/zhy-wechat-writing/github.svg)](https://agentmods.dev/skills/zhylq/yuan-skills/zhy-wechat-writing)
Your own site
<a href="https://agentmods.dev/skills/zhylq/yuan-skills/zhy-wechat-writing"><img src="https://agentmods.dev/badge/skills/zhylq/yuan-skills/zhy-wechat-writing/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 zhy-wechat-writing

Your own site · 80×15
<a href="https://agentmods.dev/skills/zhylq/yuan-skills/zhy-wechat-writing"><img src="https://agentmods.dev/badge/skills/zhylq/yuan-skills/zhy-wechat-writing.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 36 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 6,324 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 $0.00036 $0.06324
Opus 5 $0.00018 $0.03162
Sonnet 5 $0.00007 $0.01265
Haiku 4.5 $0.00004 $0.00632

Measured 12d ago against content hash 145a0cc7ef25, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

zhy-wechat-writing 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 12d 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/zhy-wechat-writing/SKILL.md · 582 lines

How it starts

The opening of the file, as written. The whole thing — 582 lines — stays where its author put it; the contents beside it link to each section on GitHub.

微信公众号写作系统

Purpose

根据用户提供的主题(可选参考URL),自动完成公众号文章写作全流程:多来源检索与证据池整理、初稿生成、自审润色、参考资料整理,并可选自动配图与保存到公众号草稿箱(不提交发布)。

When to Use

  • 用户请求"写一篇关于XXX的公众号文章"
  • 用户请求"生成公众号文章,主题是XXX"
  • 用户需要完整的公众号文章创作流程
  • 用户希望"写完后自动配图"或"写完后发到公众号草稿箱"

Prerequisites

执行前需要确认:

  • 用户已提供文章主题(topic
  • 如有参考文章 URL,可一并提供(urls
  • topic 为纯中文且未提供 slug,建议补充英文/拼音 kebab-case 目录名;否则会使用 ASCII 降级方案

Workflow

按照以下步骤顺序执行(产物默认落盘到 articles/<slug>/...,便于复跑与追溯):

Phase 0: Preflight

目标:确定可稳定复用的目录与路径规范

操作

  1. 计算 slug
    • 若用户提供 slug:直接使用(推荐:英文/拼音kebab-case)
    • topic 含拉丁字母/数字:对其做kebab-case
    • 否则降级:wechat-article-YYYYMMDD
  2. 创建目录:
    • articles/<slug>/
    • articles/<slug>/sources/
  3. 规范:Markdown图片引用必须使用相对路径与 / 分隔符

Step 1: 素材搜集

目标:搜集与主题相关的素材,并整理为可追溯的证据池

操作

  1. 若用户提供 urls:并行使用 webfetch 获取内容,提取要点,并记录URL与可获得的发布日期
  2. 若用户未提供 urls:并行使用 WebSearch 做多来源检索(建议覆盖:官方文档 / X(Twitter) / Reddit / 技术论坛 / 微信公众号 / 工程实践)
    • official/authority:官方文档、标准/规范、权威媒体解读
    • community:X(Twitter)、Reddit、论坛/讨论
    • practice:GitHub issues、工程博客、案例复盘
    • 推荐并行 query 模板(按需组合,尽量加年份/时间范围以强调近期):
      • {topic} official documentation / {topic} release notes 2025 2026
      • {topic} site:x.com / {topic} site:twitter.com
      • {topic} site:reddit.com / {topic} site:reddit.com/r/<subreddit>
      • {topic} site:github.com issues / {topic} site:github.com discussions
      • {topic} site:stackoverflow.com / {topic} site:news.ycombinator.com
      • {topic} site:mp.weixin.qq.com (公众号)
      • {topic} 实战 复盘 踩坑 2025 2026 (中文工程实践)
  3. 合并去重,按可信度分级(high/medium/low),形成证据池,落盘:
    • articles/<slug>/sources/evidence.md

工具映射

  • 本流程中的“搜索”使用:WebSearch
  • 本流程中的“抓取网页内容”使用:webfetch

关于 WebSearch(实现说明)

  • 优先使用运行环境自带的 WebSearch 工具。
  • 若当前环境没有可用的 WebSearch:用 webfetch 抓取公开搜索结果页(SERP),从结果中提取 URL 列表后再并行 webfetch 正文内容。

证据池条目格式(每条必须包含)

  • title
  • url
  • published_at(可得则写)
  • source_type(official/community/practice)
  • key_takeaways(3-6条要点,尽量可直接改写成正文素材)
  • confidence(high/medium/low)

Read the full file on GitHub · 582 lines

Files

What ships with it

1 file 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. 12d ago First seen · 582 lines · 36 tokens per session scan A 145a0cc7ef25

Subscribe to this mod's changes

zhy-wechat-writing is a skill published in the GitHub repository zhylq/yuan-skills (36 stars, last pushed 6mo ago), licensed MIT. It adds 36 tokens to every session and 6,324 once invoked, about $0.0002 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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