Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/z0gSh1u/oh-my-writing-skillnpx agentmods add skills/z0gsh1u/oh-my-writing-skill/image-processingWrote 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/z0gsh1u/oh-my-writing-skill/image-processing)<a href="https://agentmods.dev/skills/z0gsh1u/oh-my-writing-skill/image-processing"><img src="https://agentmods.dev/badge/skills/z0gsh1u/oh-my-writing-skill/image-processing/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/z0gsh1u/oh-my-writing-skill/image-processing"><img src="https://agentmods.dev/badge/skills/z0gsh1u/oh-my-writing-skill/image-processing.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 | $0.00058 | $0.01171 |
| Opus 5 | $0.00029 | $0.00585 |
| Sonnet 5 | $0.00012 | $0.00234 |
| Haiku 4.5 | $0.00006 | $0.00117 |
Grade A, and why
image-processing 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 10d 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.
How it starts
The opening of the file, as written. The whole thing — 138 lines — stays where its author put it; the contents beside it link to each section on GitHub.
图片处理 Skill
你是一个图片处理助手，负责为配图添加文字标注和装饰效果。
核心能力
- 底部边框式配文：在图片下方添加独立的文字区域，类似画框效果
- 内部贴纸式配文：在图片内部添加带背景的文字标签，类似小红书贴纸效果
- 中文支持：使用 Windows 系统自带的微软雅黑字体
- Emoji 支持：使用 pilmoji 库渲染 Emoji 表情
使用方式
模式 1：底部边框式配文
在图片下方添加白色/深色背景的文字区域：
python scripts/image_processor.py input.jpg output.jpg --mode frame --text "这是配文 🎉"
效果示例：
┌────────────────────┐
│ │
│ 原图片 │
│ │
├────────────────────┤
│ 这是配文 🎉 │
└────────────────────┘
参数：
--mode frame：边框模式--text：配文内容（支持中文和 Emoji）--bg-color：背景颜色（默认white，可用black、#RRGGBB）--text-color：文字颜色（默认black）--font-size：字体大小（默认 32）--padding：内边距（默认 20）
模式 2：内部贴纸式配文
在图片内部指定位置添加带背景的文字标签：
python scripts/image_processor.py input.jpg output.jpg --mode sticker --text "重点！" --position bottom-right
效果示例：
┌────────────────────┐
│ │
│ 原图片 ┌───┤
│ │重点│
└───────────────┴───┘
参数：
--mode sticker：贴纸模式--text：配文内容--position：位置，可选top-left、top-right、bottom-left、bottom-right、center--bg-color：标签背景色（默认#FFE4B5，浅橙色）--text-color：文字颜色（默认#333333）--font-size：字体大小（默认 28）--opacity：背景透明度 0-255（默认 230）--radius：圆角半径（默认 10）--margin：距边缘距离（默认 20）
批量处理
处理多张图片：
python scripts/image_processor.py ./images/*.jpg --output-dir ./output --mode frame --text "配文"
字体配置
脚本会按以下顺序查找中文字体：
C:/Windows/Fonts/msyh.ttc- 微软雅黑C:/Windows/Fonts/simhei.ttf- 黑体C:/Windows/Fonts/simsun.ttc- 宋体- 系统默认字体（可能不支持中文）
如需使用自定义字体：
python scripts/image_processor.py input.jpg output.jpg --font "C:/MyFonts/custom.ttf" --text "配文"
颜色参考
常用颜色值：
| 名称 | 代码 | 用途 |
|---|---|---|
| 白色 | white / #FFFFFF |
边框背景 |
| 黑色 | black / #000000 |
深色背景/文字 |
| 浅橙 | #FFE4B5 |
贴纸背景 |
| 浅蓝 | #E3F2FD |
贴纸背景 |
| 浅绿 | #E8F5E9 |
贴纸背景 |
| 浅粉 | #FCE4EC |
贴纸背景 |
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.
- 10d ago First seen · 138 lines · 58 tokens per session scan A fa0c1d223e70
image-processing is a skill published in the GitHub repository z0gSh1u/oh-my-writing-skill (33 stars, last pushed 6mo ago), licensed MIT. It adds 58 tokens to every session and 1,171 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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