wechat-article-writer

wechat-article-writer is a skill for Claude Code, Codex from xstongxue/best-skills. It costs 105 tokens per session (3,536 once invoked), scanned A, original, Apache-2.0.

A Chinese-language content-creation workflow for public-account and social-media writing. It supports article drafting, cover images, illustrations, process diagrams, style analysis, and adapting writing to selected styles.

In plain words
What is it for?
Use it to write Chinese articles, create covers or in-article visuals, make step-by-step diagrams, analyze a reference author's style, or produce content in a chosen style such as checklist, viral, story-based, or technical.
Why use it?
It turns a broad content request into a matching writing or image workflow and provides different structures for formats such as tutorials, resource roundups, and personal essays.

Skill for Claude CodeCodex

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

Good fit Use it to write Chinese articles, create covers or in-article visuals, make step-by-step diagrams, analyze a reference author's style, or produce content in a chosen style such as checklist, viral, story-based, or technical.

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Install with agentmods
npx agentmods add skills/xstongxue/best-skills/wechat-article-writer
About the project

best-skills is a collection of reusable skills for coding agents, including tools for writing papers, creating diagrams and presentations, generating code documentation, and other tasks. Users install its skills into agents such as Cursor, Claude Code, Codex, or OpenClaw so those agents can recognize relevant requests and run the corresponding workflows. The catalogue entries are examples of the skills included in the collection.

xstongxue/best-skills · 2,814 stars · on GitHub

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 xstongxue/best-skills --skill wechat-article-writer
Clone the repo
git clone --depth 1 https://github.com/xstongxue/best-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 wechat-article-writer

README.md
[![agentmods](https://agentmods.dev/badge/skills/xstongxue/best-skills/wechat-article-writer/github.svg)](https://agentmods.dev/skills/xstongxue/best-skills/wechat-article-writer)
Your own site
<a href="https://agentmods.dev/skills/xstongxue/best-skills/wechat-article-writer"><img src="https://agentmods.dev/badge/skills/xstongxue/best-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/xstongxue/best-skills/wechat-article-writer"><img src="https://agentmods.dev/badge/skills/xstongxue/best-skills/wechat-article-writer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 105 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,536 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 warn 6 May 2026
  • Snyk warn 6 May 2026
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 2 findings, up to high

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • high Privilege Escalation · line 111
    Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.
    Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
  • medium MCP Rug Pull · line 155
    npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.
    Fix: Pin the version: npx @scope/[email protected]
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 $0.00105 $0.03536
Opus 5 $0.00053 $0.01768
Sonnet 5 $0.00021 $0.00707
Haiku 4.5 $0.00011 $0.00354

Measured 13d ago against content hash 061cb39f1ae9, 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.

The scan reads SKILL.md. This mod also ships 2 executable files (scripts/export-drawio.sh, scripts/upload-to-wechat.js), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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 · 251 lines

How it starts

The opening of the file, as written. The whole thing — 251 lines — stays where its author put it; the contents beside it link to each section on GitHub.

公众号/自媒体创作

一、任务识别

根据用户需求选择执行路径:

任务类型 触发词 执行
仅封面/结尾图 封面图、公众号封面、B站封面、小红书配图 读取 cover_guide.md
仅正文插图 插图、步骤图、演示图、流程示意、前后对比 读取 illustration_guide.md
撰写文章 写公众号、写文章、自媒体写作、爆款文章、内容创作 执行 Step 2–6
风格提取 分析写作风格、克隆文风、模仿某篇、提取风格、范文转风格指南 执行「四、风格提取流程」

二、写作风格

撰写文章时,按用户指定选择风格文件;未指定则用默认风格。

序号 风格 触发词(互不重复) 参考文件 篇幅
1 默认 (未指定时) writing_style.md 2000–4000 字
2 高流量/爆款 高流量、爆款、像 Skills 那篇 viral_style.md 7 2500–4000 字
3 清单体/方法论 清单体、方法论、干货、步骤 checklist_methodology_style.md 2000–4000 字
4 资源盘点 盘点、替代方案、合集 resource_roundup_style.md 3000–6000 字
5 个人实测推荐 个人实测、亲身推荐 personal_tool_review_style.md 4000–7000 字
6 认知颠覆 认知颠覆、反常识、观点文 contrarian_opinion_style.md 2000–3500 字
7 身份共鸣/逆袭 身份共鸣、逆袭、你也行、转行经历 identity_transformation_style.md 2500–4000 字
8 故事化/情感共鸣 故事化、情感共鸣、人物故事 story_emotional_style.md 2500–4500 字
9 深度随笔 深度思考、随笔、像日记那篇、个人感悟 personal_essay_style.md 4000–7000 字

Read the full file on GitHub · 251 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. 13d ago First seen · 251 lines · 105 tokens per session scan A 061cb39f1ae9

Subscribe to this mod's changes

wechat-article-writer is a skill published in the GitHub repository xstongxue/best-skills (2,814 stars, last pushed 18d ago), licensed Apache-2.0. It adds 105 tokens to every session and 3,536 once invoked, about $0.0005 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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