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.
npx skills add cafe3310/public-agent-skills --skill wx-emoji-makergit clone --depth 1 https://github.com/cafe3310/public-agent-skillsWrote 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.
[](https://agentmods.dev/skills/cafe3310/public-agent-skills/wx-emoji-maker)<a href="https://agentmods.dev/skills/cafe3310/public-agent-skills/wx-emoji-maker"><img src="https://agentmods.dev/badge/skills/cafe3310/public-agent-skills/wx-emoji-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.
<a href="https://agentmods.dev/skills/cafe3310/public-agent-skills/wx-emoji-maker"><img src="https://agentmods.dev/badge/skills/cafe3310/public-agent-skills/wx-emoji-maker.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00021 | $0.00549 |
| Opus 5 | $0.00010 | $0.00275 |
| Sonnet 5 | $0.00004 | $0.00110 |
| Haiku 4.5 | $0.00002 | $0.00055 |
Grade A, and why
wx-emoji-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.
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.
What it actually says
技能：wx-emoji-maker
概述
此技能可将一个目录中的 PNG 图片批量处理，使其适合用作微信表情包。它通过一个包含背景处理、裁剪、标准化和调整大小的自动化工作流，确保最终生成的表情包拥有一致的外观和尺寸。
关键词: 微信表情, 表情包, 图片处理, PNG, ImageMagick
何时使用此技能
- 当您有一系列 PNG 图片，并希望将它们快速转换为符合微信表情包标准的图片时。
- 当源图片背景颜色不一，需要统一处理时。
- 当您需要自动裁剪图片空白，并添加标准内边距时。
工作流程
要执行此任务，请遵循以下步骤：
- 准备: 确认你的系统已安装
ImageMagick。 - 执行: 调用
run.sh脚本，并将包含 PNG 图片的目录路径作为参数。/bin/bash <path_to_skill>/scripts/run.sh <图片目录路径> - 交互式检查: 脚本在完成前会暂停，提示您检查
mid3-border目录中的中间成果。这是一个手动微调的好机会。检查完毕后按回车键继续。 - 完成: 脚本执行完毕后，最终成果将保存在目标目录下的
res子目录中。
最佳实践
- 输入: 确保输入目录中只包含您想处理的 PNG 图片。
- 检查: 在脚本暂停时，务必检查
mid3-border目录中的图片，确保裁剪和边框效果符合预期。
常见陷阱
- 依赖缺失: 未安装
ImageMagick会导致脚本执行失败。 - 路径错误: 提供的目录路径不正确或不包含 PNG 文件将导致错误。
一个典型的例子，可以参考 https://cafe3310.github.io/chocho-miemie-album/posts/chocho-stickers.html 。
What ships with it
1 file 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.
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.
- 12d ago First seen · 49 lines · 21 tokens per session scan A 35dd61fb79a7
wx-emoji-maker is a skill published in the GitHub repository cafe3310/public-agent-skills (253 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 21 tokens to every session and 549 once invoked, about $0.0001 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.
Other skills, from other repositories
short-fiction-scaffolder
Scaffold a new Chinese commercial short-fiction project with versioned drafts, one maintained outline, publication metadata, revision notes, and optional cover artwork. Use when starting a new short-story repository or directory; do not use for drafting or revising an existing story.
volcengine-ark-image-generator
Generate or validate Volcengine Ark image requests for text-to-image and single-reference image workflows. Use when Codex needs to choose a Seedream or SeedEdit model, shape prompts, execute image generation through the bundled script, explain Ark images.generate options, or guard against invalid parameter…
eli5
Create a simple, picture-first explanation of a topic, defaulting to self-contained HTML. Use when the user says ELI5, asks to explain something like they are five, or wants a visual explanation with very few words; do not use for ordinary concise explanations that do not ask for this style.
preview-svg
Render and preview SVG animations in the browser with play/pause, timeline scrubbing, zoom & pan, code view, and export. Use when explaining a concept visually with an animated SVG (SMIL, CSS keyframes, or inline-JS), prototyping path-draw / morph / motion-path effects, or iterating on an animated icon, logo, or…
preview-threejs
Create interactive 3D visualizations using Three.js with orbit controls, lighting, and animation.
ai-video-generation
Generate AI videos on RunComfy via the runcomfy CLI — a smart router across the full video-model catalog: HappyHorse 1.0 (Arena #1, native in-pass audio), Wan-AI Wan 2-7 (open weights, audio-driven lip-sync), ByteDance Seedance v2 / 1-5 / 1-0 (multi-modal cinematic), Kling 3.0 / 2-6, Google Veo 3-1, MiniMax Hailuo…