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 malue-ai/dazee-small --skill image-resizegit clone --depth 1 https://github.com/malue-ai/dazee-smallWrote 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/malue-ai/dazee-small/image-resize)<a href="https://agentmods.dev/skills/malue-ai/dazee-small/image-resize"><img src="https://agentmods.dev/badge/skills/malue-ai/dazee-small/image-resize/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/malue-ai/dazee-small/image-resize"><img src="https://agentmods.dev/badge/skills/malue-ai/dazee-small/image-resize.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 | $0.00017 | $0.00588 |
| Opus 5 | $0.00009 | $0.00294 |
| Sonnet 5 | $0.00003 | $0.00118 |
| Haiku 4.5 | $0.00002 | $0.00059 |
Grade B, and why
image-resize scanned grade B with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Asks for rootmediumPrivilege escalation
A mod that escalates privileges can change anything on the machine, not only the project.
sudo apt install imagemagick What it actually says
图片处理(ImageMagick)
使用 ImageMagick 批量处理图片:缩放、裁剪、格式转换、压缩、拼接。
使用场景
- 用户说「把这张图片缩小到 800px 宽」「批量压缩这个文件夹的图片」
- 用户说「把 PNG 转成 JPG」「给图片加水印」
- 用户说「把这几张图拼成一张」
前置条件
# macOS
brew install imagemagick
# Windows
winget install ImageMagick.ImageMagick
# Linux
sudo apt install imagemagick
执行方式
缩放
# 按宽度缩放(保持比例)
magick input.jpg -resize 800x output.jpg
# 按百分比
magick input.jpg -resize 50% output.jpg
# 指定尺寸(可能变形)
magick input.jpg -resize 800x600! output.jpg
格式转换
magick input.png output.jpg
magick input.jpg output.webp
批量处理
# 批量缩放目录下所有 JPG
for f in *.jpg; do magick "$f" -resize 800x "resized_$f"; done
# 批量转格式
for f in *.png; do magick "$f" "${f%.png}.jpg"; done
压缩
# JPEG 质量压缩
magick input.jpg -quality 80 output.jpg
# 去除元数据减小体积
magick input.jpg -strip -quality 85 output.jpg
拼接
# 水平拼接
magick a.jpg b.jpg +append merged.jpg
# 垂直拼接
magick a.jpg b.jpg -append merged.jpg
水印
magick input.jpg -gravity SouthEast -fill white -pointsize 24 \
-annotate +10+10 "© 2026" output.jpg
输出规范
- 处理前显示原始图片尺寸和大小
- 处理后显示新尺寸和大小,以及节省的空间
- 批量操作前确认文件数量和目标参数
- 不覆盖原文件,输出到新文件或子目录
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 · 101 lines · 17 tokens per session scan B e7aba80b4268
image-resize is a skill published in the GitHub repository malue-ai/dazee-small (36 stars, last pushed 5mo ago), licensed MIT. It adds 17 tokens to every session and 588 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it B with 1 finding (asks for root). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
Other skills, from other repositories
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
local-ai-agents
Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…
next-cache-components-adoption
Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…
chat-pet-sprite-creation
Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.
cpu-profile-analysis
Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…
insight-error-page
Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…