md2wechat

md2wechat is a skill for Claude Code, Codex from wengzige/WeChat-Official-Account-content-studio. It costs 54 tokens per session (379 once invoked), scanned A, original, MIT.

A compatibility entry for turning Markdown articles into layouts suitable for WeChat’s public-account publishing system.

In plain words
What is it for?
It supports local rendering, preview and publishing checks, dry-run publishing, and—when explicitly requested—actual draft publishing through the repository’s workflow.
Why use it?
It prevents users from relying on an unrelated command-line tool or outdated instructions when preparing WeChat articles.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: installed under .agents/ (shared by several agents).

Good fit It supports local rendering, preview and publishing checks, dry-run publishing, and—when explicitly requested—actual draft publishing through the repository’s workflow.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/wengzige/wechat-official-account-content-studio/md2wechat
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 wengzige/WeChat-Official-Account-content-studio --skill md2wechat
Clone the repo
git clone --depth 1 https://github.com/wengzige/WeChat-Official-Account-content-studio

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 md2wechat

README.md
[![agentmods](https://agentmods.dev/badge/skills/wengzige/wechat-official-account-content-studio/md2wechat/github.svg)](https://agentmods.dev/skills/wengzige/wechat-official-account-content-studio/md2wechat)
Your own site
<a href="https://agentmods.dev/skills/wengzige/wechat-official-account-content-studio/md2wechat"><img src="https://agentmods.dev/badge/skills/wengzige/wechat-official-account-content-studio/md2wechat/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 md2wechat

Your own site · 80×15
<a href="https://agentmods.dev/skills/wengzige/wechat-official-account-content-studio/md2wechat"><img src="https://agentmods.dev/badge/skills/wengzige/wechat-official-account-content-studio/md2wechat.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 54 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 379 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 $0.00054 $0.00379
Opus 5 $0.00027 $0.00189
Sonnet 5 $0.00011 $0.00076
Haiku 4.5 $0.00005 $0.00038

Measured 12d ago against content hash e36dac69e186, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

md2wechat 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.

skill2 paibanyouhua/.agents/skills/md2wechat/SKILL.md · 30 lines

What it actually says

md2wechat 兼容桥

不要假设外部 md2wechat CLI 已安装,也不要从旧命令手册猜测主题、provider 或发布能力。 当前仓库使用自己的 Python converter、模板脚本和微信 API 发布器。

定位仓库根目录后,完整读取根目录 SKILL.md,并按用户意图执行:

# 本地渲染与 Preview readiness
powershell -ExecutionPolicy Bypass -File scripts/render_wechat_article.ps1 -ArticleDir "<文章目录>"
powershell -ExecutionPolicy Bypass -File scripts/check_wechat_article.ps1 -ArticleDir "<文章目录>" -Target Preview

# Publish readiness;不会创建草稿
powershell -ExecutionPolicy Bypass -File scripts/check_wechat_article.ps1 -ArticleDir "<文章目录>" -Target Publish
powershell -ExecutionPolicy Bypass -File scripts/publish_wechat_article.ps1 -ArticleDir "<文章目录>" -DryRun

只有用户本轮明确要求发布,且 Publish readiness 与 DryRun 都通过时,才执行不带 -DryRun 的发布命令。排版、预览和检查不得上传图片或创建微信草稿。

若用户明确要求使用外部 md2wechat 产品的当前 CLI、主题或布局目录,本兼容桥不提供这些 能力;应单独安装并遵守该项目当前许可证,不能把其受限代码或资源复制进本仓库。

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 · 30 lines · 54 tokens per session scan A e36dac69e186

Subscribe to this mod's changes

md2wechat is a skill published in the GitHub repository wengzige/WeChat-Official-Account-content-studio (27 stars, last pushed 26d ago), licensed MIT. It adds 54 tokens to every session and 379 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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