wechat-sticker-maker

wechat-sticker-maker is a skill for Claude Code from guanyang/super-publisher. It costs 60 tokens per session (1,251 once invoked), scanned A, original, MIT.

A tool that cuts a grid image into separate WeChat stickers and resizes the files to WeChat’s required formats. It supports common six-, nine-, and twelve-panel layouts.

In plain words
What is it for?
Use it to turn a grid of sticker designs into numbered 240×240 PNG stickers, a 50×50 chat icon, and template files for sticker details.
Why use it?
It removes the manual work of cropping, resizing, numbering, and preparing supporting information files for WeChat sticker submissions.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the super-publisher plugin — 10 skills shipped together

Good fit Use it to turn a grid of sticker designs into numbered 240×240 PNG stickers, a 50×50 chat icon, and template files for sticker details.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/guanyang/super-publisher/wechat-sticker-maker
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 guanyang/super-publisher --skill wechat-sticker-maker
Clone the repo
git clone --depth 1 https://github.com/guanyang/super-publisher

Made for: Claude Code.

Or install super-publisher, the plugin that ships this one along with the rest of its 10 skills.

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-sticker-maker

README.md
[![agentmods](https://agentmods.dev/badge/skills/guanyang/super-publisher/wechat-sticker-maker/github.svg)](https://agentmods.dev/skills/guanyang/super-publisher/wechat-sticker-maker)
Your own site
<a href="https://agentmods.dev/skills/guanyang/super-publisher/wechat-sticker-maker"><img src="https://agentmods.dev/badge/skills/guanyang/super-publisher/wechat-sticker-maker/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-sticker-maker

Your own site · 80×15
<a href="https://agentmods.dev/skills/guanyang/super-publisher/wechat-sticker-maker"><img src="https://agentmods.dev/badge/skills/guanyang/super-publisher/wechat-sticker-maker.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 60 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,251 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 $0.00060 $0.01251
Opus 5 $0.00030 $0.00626
Sonnet 5 $0.00012 $0.00250
Haiku 4.5 $0.00006 $0.00125

Measured 12d ago against content hash 18b54a1f9cdc, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

wechat-sticker-maker 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.

The scan reads SKILL.md. This mod also ships 2 executable files (scripts/make_stickers.py, scripts/run.sh), 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-sticker-maker/SKILL.md · 79 lines

How it starts

The opening of the file, as written. The whole thing — 79 lines — stays where its author put it; the contents beside it link to each section on GitHub.

微信表情包制作工具 (WeChat Sticker Maker)

本 Skill 旨在帮助用户快速将设计好的网格拼图(如六宫格、九宫格、十二宫格)自动裁剪并生成符合微信表情开放平台规范的素材。

核心功能

  • 自动裁剪:支持 2x3, 3x2, 3x3, 3x4, 4x3 等多种网格布局。
  • 规范转换
    • 表情主图:统一调整为 240x240 像素 (PNG)。
    • 聊天页图标:统一调整为 50x50 像素 (PNG)。
  • 含义词生成:自动生成 meta.txt 文件,预留“含义词”填写位置,方便批量管理。
  • 信息模板生成:自动生成 info.txt 文件,包含【表情名称】、【表情介绍】、【一句话简介】的填写模板及字数限制提示。
  • 候选素材生成:自动提取第1张表情,生成符合规范的【头像/封面图候选】(240x240) 和 【聊天页图标候选】(50x50)。
  • 自动命名:按照微信规范自动编号 (01, 02, ...)。

使用指南

1. 快速开始 (Quick Start)

无需手动安装依赖,直接运行脚本即可。工具会自动创建虚拟环境 (.venv) 并安装所需依赖。

# 基本用法:自动处理并生成
./skills/wechat-sticker-maker/scripts/run.sh /path/to/your/grid_image.png

# 常用选项:
# - 指定布局 (例如 3x3)
./skills/wechat-sticker-maker/scripts/run.sh /path/to/image.png --layout 3x3

# - 指定输出目录
./skills/wechat-sticker-maker/scripts/run.sh /path/to/image.png --output ./my_stickers

2. (可选) 手动安装

如果您希望手动管理环境:

python3 -m venv .venv
source .venv/bin/activate
pip install -r skills/wechat-sticker-maker/requirements.txt
python3 skills/wechat-sticker-maker/scripts/make_stickers.py ...

3. 输出结果

脚本将在指定的输出目录下生成两个子文件夹和多个文件。

  • 默认输出路径:如果用户未指定,默认创建并输出到 output/stickers_[theme] 目录(其中 [theme] 根据该表情包的具体主题进行替换,如 output/stickers_cat)。
  • 自定义输出路径:用户也可以通过 --output 指定自定义输出目录。
  • 输出内容
    • main/: 存放 表情主图 (240x240)
    • icon/: 存放 表情缩略图标 (50x50, 这里的icon指每张表情的缩略图,非聊天页单一图标)
    • meta.txt: 含义词配置表 (格式:01.png [请输入表情含义])
    • info.txt: 专辑信息模板 (包含名称、简介模板)
    • cover_candidate.png: 封面图候选 (240x240, 取自第1张)
    • chat_icon_candidate.png: 聊天页图标候选 (50x50, 取自第1张)

输出目录自定义: Agent 在调用脚本时应传入 --output 参数:如果用户指定了路径,则使用用户指定的路径;如果未指定,则默认使用 output/stickers_[theme] 格式的路径。生成完毕后,向用户呈报生成在该目录下的具体文件路径与文件预览。

重要:自动完善元数据 (Meta-Data Auto-Population) 当运行完本脚本后,Agent 必须根据所生成的表情包主题、画面内容或所使用的模板,自动修改并填充 info.txtmeta.txt 中的占位符:

  1. 补充 info.txt
    • 【表情名称】:结合主题起一个生动的名字(不超过8个汉字,无标点)。
    • 【表情介绍】:描述这套表情包的风格和适用场景(不超过80个汉字)。
    • 【一句话简介】:提炼一个吸睛的宣传语(不超过11个汉字,无标点)。
  2. 补充 meta.txt
    • 将每一行的 [请输入表情含义] 替换为该表情图对应的具体动作或情绪含义(如:01.png 收到02.png 摸鱼等,通常为 2-4 个字)。

Read the full file on GitHub · 79 lines

Files

What ships with it

4 files 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 · 79 lines · 60 tokens per session scan A 18b54a1f9cdc

Subscribe to this mod's changes

wechat-sticker-maker is a skill published in the GitHub repository guanyang/super-publisher (30 stars, last pushed 1mo ago), licensed MIT. It adds 60 tokens to every session and 1,251 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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