md2wechat

md2wechat is a skill for Claude Code, Codex from geekjourneyx/md2wechat-skill. It costs 42 tokens per session (3,117 once invoked), scanned A, original, no licence file.

A tool for turning Markdown articles into HTML formatted for WeChat Official Accounts, China's publishing platform. It also covers article images, themes, writing styles, titles, drafts, and removing signs of AI-written text.

In plain words
What is it for?
Use it to prepare WeChat articles, generate supporting images, suggest titles, create drafts, and adapt writing to a creator's style.
Why use it?
It avoids manually adapting Markdown content to WeChat's HTML format and publishing workflow. It also helps keep articles consistent with a chosen visual or writing style.

Skill for Claude CodeCodex

Which agent this was written for is unclear — body not stored (licence); the path alone says nothing.

Good fit Use it to prepare WeChat articles, generate supporting images, suggest titles, create drafts, and adapt writing to a creator's style.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/geekjourneyx/md2wechat-skill/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 geekjourneyx/md2wechat-skill --skill md2wechat
Clone the repo
git clone --depth 1 https://github.com/geekjourneyx/md2wechat-skill

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/geekjourneyx/md2wechat-skill/md2wechat/github.svg)](https://agentmods.dev/skills/geekjourneyx/md2wechat-skill/md2wechat)
Your own site
<a href="https://agentmods.dev/skills/geekjourneyx/md2wechat-skill/md2wechat"><img src="https://agentmods.dev/badge/skills/geekjourneyx/md2wechat-skill/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/geekjourneyx/md2wechat-skill/md2wechat"><img src="https://agentmods.dev/badge/skills/geekjourneyx/md2wechat-skill/md2wechat.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 42 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,117 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 11 May 2026
  • Snyk warn 11 May 2026
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 1 finding, up to medium

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 →

  • medium Rogue Agent · line 3
    Skill establishes unauthorized persistence across sessions via cron jobs, startup scripts, or state files. Session persistence allows an attacker to maintain access beyond the current interaction.
    Fix: Remove any persistence mechanisms (cron jobs, startup scripts, state files). Skills should not maintain state across sessions without explicit user consent.
How audits are shown
Origin unknown 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 $0.00042 $0.03117
Opus 5 $0.00021 $0.01558
Sonnet 5 $0.00008 $0.00623
Haiku 4.5 $0.00004 $0.00312

Measured 7d ago against content hash 8732d9bce463, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, 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 7d 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.

platforms/openclaw/md2wechat/SKILL.md · 214 lines

The source is not reproduced here

A licence we could not identify

The repository carries a LICENSE file, but it is custom or dual enough that GitHub cannot name it and neither can this catalogue. Unknown terms are not permission, so the body is not copied here. Read the licence at the source and decide for yourself.

Read it on GitHub

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. 7d ago Changed · +6 lines 8732d9bce463
  2. 9d ago First seen · 208 lines · 42 tokens per session scan A 6b5b7ce47b16

Subscribe to this mod's changes

md2wechat is a skill published in the GitHub repository geekjourneyx/md2wechat-skill (3,636 stars, last pushed yesterday), with no licence file. It adds 42 tokens to every session and 3,117 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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