wechat-formatter

wechat-formatter is a skill for Claude Code, Codex from Jianing1117/jianing-skills. It costs 110 tokens per session (9,571 once invoked), scanned A, original, no licence file.

A writing tool that turns a Markdown article into HTML ready to paste into the WeChat Official Accounts editor, plus a 900×383 pixel cover image. It follows the visual rules of the specified Chinese brand.

In plain words
What is it for?
Use it to format articles for WeChat, create WeChat posts, or make their cover images.
Why use it?
It removes the manual work of adapting Markdown to WeChat's editor and preparing a matching cover image. This keeps the article and cover consistent with the brand 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 format articles for WeChat, create WeChat posts, or make their cover images.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/jianing1117/jianing-skills/wechat-formatter
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 Jianing1117/jianing-skills --skill wechat-formatter
Clone the repo
git clone --depth 1 https://github.com/Jianing1117/jianing-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-formatter

README.md
[![agentmods](https://agentmods.dev/badge/skills/jianing1117/jianing-skills/wechat-formatter/github.svg)](https://agentmods.dev/skills/jianing1117/jianing-skills/wechat-formatter)
Your own site
<a href="https://agentmods.dev/skills/jianing1117/jianing-skills/wechat-formatter"><img src="https://agentmods.dev/badge/skills/jianing1117/jianing-skills/wechat-formatter/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-formatter

Your own site · 80×15
<a href="https://agentmods.dev/skills/jianing1117/jianing-skills/wechat-formatter"><img src="https://agentmods.dev/badge/skills/jianing1117/jianing-skills/wechat-formatter.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 110 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 9,571 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 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 $0.00110 $0.09571
Opus 5.5 $0.00044 $0.03828
Sonnet 5.5 $0.00022 $0.01914
Haiku 4.5 $0.00011 $0.00957

Measured 7d ago against content hash d5cbe3b0dd9c, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

wechat-formatter 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.

The scan reads SKILL.md. This mod also ships 3 executable files (scripts/generate_cover.py, scripts/generate_footer_card.py, scripts/md_to_wechat.py), 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.

wechat-formatter/SKILL.md · 707 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

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 · +3 lines · -5 tokens per session d5cbe3b0dd9c
  2. 9d ago Changed · +20 lines 3031f326efdc
  3. 17d ago Changed · -2 lines d24c214cbe41
  4. 29d ago Changed · -5 lines 2e01d7452fab
  5. 1mo ago Changed · -1 lines 4c72ab4353c8
  6. 1mo ago Changed · +116 lines aebc43787589
  7. 1mo ago Changed · +98 lines · +26 tokens per session f56adf5cdc30
  8. 2mo ago First seen · 478 lines · 89 tokens per session scan A 87655ed6c96b

Subscribe to this mod's changes

wechat-formatter is a skill published in the GitHub repository Jianing1117/jianing-skills (329 stars, last pushed 7d ago), with no licence file. It adds 110 tokens to every session and 9,571 once invoked, about $0.0004 per session on Opus 5.5. 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.

Related

wechat-formatter compared with skills from other repositories

wechat-formatter next to 6 skills from other repositories
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playwright-climicrosoft/playwrightSkill99kyesterdayApache-2.0A19Claude Code
local-ai-agentsmicrosoft/ai-agents-for-beginnersSkill79k4d agoMITA200Claude Code, Codex
systematic-debuggingobra/superpowersSkill313k3d agoMITA21Claude Code
next-cache-components-adoptionvercel/next.jsSkill143kyesterdayMITA95Claude Code
next-partial-prefetching-adoptionvercel/next.jsSkill143kyesterdayMITA103Claude Code