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/ZJU-REAL/Easelnpx agentmods add skills/zju-real/easel/image-editingWrote 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/zju-real/easel/image-editing)<a href="https://agentmods.dev/skills/zju-real/easel/image-editing"><img src="https://agentmods.dev/badge/skills/zju-real/easel/image-editing/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/zju-real/easel/image-editing"><img src="https://agentmods.dev/badge/skills/zju-real/easel/image-editing.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00197 | $0.01726 |
| Opus 5 | $0.00098 | $0.00863 |
| Sonnet 5 | $0.00039 | $0.00345 |
| Haiku 4.5 | $0.00020 | $0.00173 |
Grade A, and why
image-editing 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 9d 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 — 109 lines — stays where its author put it; the contents beside it link to each section on GitHub.
图像处理加工
对已有图片做确定性处理：缩放/裁剪/补边/转格式/压缩/水印/圆角/拼接/缩略图。 所有操作走
skills/shared/scripts/image_ops.py（纯 Pillow），不即兴写脚本。
输入
- 一张或多张已存在的图片文件路径（png/jpg/webp 等 Pillow 支持格式）
- 目标操作与参数（尺寸、比例、质量、水印文字、拼接方式等）
输出
- 处理后的图片文件（路径由用户指定或默认写入
outputs/主题名/） - 每条命令回显
✅ 路径 (宽x高, 大小KB)；info输出 json
边界（与 card-* 划清）
- card-quote / card-xiaohongshu / poster-hero / comparison-card = 设计并渲染新图（HTML→截图）
- image-editing = 加工已有图片，不做视觉设计，不生成内容，只做像素级处理
- 需要"从数据/文字生成图" → 用 chart/infographic/card-*；本 SKILL 只处理现成图片文件
执行步骤
- 确认输入图片存在、明确目标操作与参数
- 从项目根目录运行
image_ops.py对应子命令（见下） - 需要平台尺寸时，查
references/platform-sizes.md取推荐比例/像素 - 回报输出路径与尺寸；多步操作可串联（如先 resize 再 compress）
命令速查
脚本路径统一为 skills/shared/scripts/image_ops.py，均支持 -h 查看参数。
# 缩放：按宽/高/百分比，--keep-ratio 在框内等比不拉伸
python skills/shared/scripts/image_ops.py resize -i in.jpg -o out.jpg --width 1080
python skills/shared/scripts/image_ops.py resize -i in.jpg -o out.jpg --percent 50
python skills/shared/scripts/image_ops.py resize -i in.jpg -o out.jpg --width 1080 --height 1440 --keep-ratio
# 裁剪：坐标裁 或 居中裁到指定尺寸
python skills/shared/scripts/image_ops.py crop -i in.jpg -o out.jpg --box 100,50,900,650
python skills/shared/scripts/image_ops.py crop -i in.jpg -o out.jpg --width 1080 --height 1080
# 补边到目标比例（社媒适配核心）：把任意图 pad 成 1:1 / 9:16 / 16:9
python skills/shared/scripts/image_ops.py pad -i in.jpg -o out.png --ratio 9:16 --background "#ffffff"
python skills/shared/scripts/image_ops.py pad -i in.jpg -o out.png --ratio 1:1 --background "20,20,30"
# 格式转换 png/jpg/webp
python skills/shared/scripts/image_ops.py convert -i in.png -o out.webp --format webp --quality 85
# 压缩：定质量 或 逼近目标文件大小上限（jpg/webp）
python skills/shared/scripts/image_ops.py compress -i in.jpg -o out.jpg --quality 80
python skills/shared/scripts/image_ops.py compress -i in.jpg -o out.jpg --max-kb 200
# 水印：文字（位置/透明度/字号/颜色，自动找系统中文字体）或图片（右下角等）
python skills/shared/scripts/image_ops.py watermark -i in.jpg -o out.png --text "@账号名" --position bottom-right --opacity 0.5 --size 40
python skills/shared/scripts/image_ops.py watermark -i in.jpg -o out.png --image logo.png --position bottom-right --scale 0.3 --opacity 0.8
# 圆角（输出透明 png）；--radius-percent 50 得圆形
python skills/shared/scripts/image_ops.py round -i in.jpg -o out.png --radius 60
python skills/shared/scripts/image_ops.py round -i avatar.jpg -o out.png --radius-percent 50
# 多图拼接：横向/纵向/网格 NxM（列x行），--cell-width/height 统一单元格
python skills/shared/scripts/image_ops.py collage -i a.jpg b.jpg c.jpg -o out.jpg --mode horizontal --gap 12
python skills/shared/scripts/image_ops.py collage -i 1.jpg 2.jpg 3.jpg 4.jpg -o out.jpg --grid 2x2 --gap 10 --cell-width 540 --cell-height 540
# 缩略图（最长边像素）
python skills/shared/scripts/image_ops.py thumbnail -i in.jpg -o thumb.jpg --size 256
# 读图片信息（json：尺寸/格式/比例/大小/透明通道）
python skills/shared/scripts/image_ops.py info -i in.jpg
What ships with it
2 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.
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.
- 9d ago First seen · 109 lines · 197 tokens per session scan A c9ab01ceb15a
image-editing is a skill published in the GitHub repository ZJU-REAL/Easel (494 stars, last pushed yesterday), licensed Apache-2.0. It adds 197 tokens to every session and 1,726 once invoked, about $0.0010 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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