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 smart-desktop-organizergit 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/smart-desktop-organizer)<a href="https://agentmods.dev/skills/malue-ai/dazee-small/smart-desktop-organizer"><img src="https://agentmods.dev/badge/skills/malue-ai/dazee-small/smart-desktop-organizer/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/smart-desktop-organizer"><img src="https://agentmods.dev/badge/skills/malue-ai/dazee-small/smart-desktop-organizer.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 | $0.00032 | $0.00734 |
| Opus 5 | $0.00016 | $0.00367 |
| Sonnet 5 | $0.00006 | $0.00147 |
| Haiku 4.5 | $0.00003 | $0.00073 |
Grade A, and why
smart-desktop-organizer 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.
What it actually says
智能桌面整理
帮助用户智能整理桌面、下载文件夹等混乱目录：按语义分类、清理重复、归档旧文件。
使用场景
- 用户说「我的桌面太乱了，帮我整理一下」「下载文件夹清理一下」
- 用户说「把文件按项目/类型分类」「把旧文件归档」
- 用户说「找出重复文件」「清理不需要的临时文件」
执行方式
通过 bash 命令 + LLM 语义判断完成。先扫描目录，再由 LLM 分析每个文件的用途和分类，最后执行整理。
Step 1: 扫描目录
# 列出目标目录的文件（含大小和修改日期）
ls -lhS ~/Desktop/ | head -50
ls -lhS ~/Downloads/ | head -50
Step 2: LLM 语义分类
根据文件名、扩展名、修改日期，将文件分为以下类别：
| 类别 | 典型文件 | 目标文件夹 |
|---|---|---|
| Documents | .pdf, .docx, .xlsx, .pptx | ~/Documents/Organized/ |
| Images | .png, .jpg, .gif, .svg | ~/Pictures/Organized/ |
| Archives | .zip, .tar.gz, .rar | ~/Documents/Archives/ |
| Installers | .dmg, .exe, .pkg | 清理或归档 |
| Temp | .tmp, .crdownload, partial | 直接删除 |
Step 3: 执行整理
# 创建分类目录
mkdir -p ~/Documents/Organized ~/Pictures/Organized ~/Documents/Archives
# 移动文件（示例）
mv ~/Desktop/*.pdf ~/Documents/Organized/
mv ~/Desktop/*.png ~/Pictures/Organized/
Step 4: 找出重复文件
# 按 MD5 查找重复文件
find ~/Downloads -type f -exec md5sum {} + | sort | uniq -w32 -dD
Step 5: 归档旧文件
# 找出 90 天未修改的文件
find ~/Desktop -type f -mtime +90 -not -name ".*"
安全规则
- 不自动删除任何文件：只移动和归档，删除前必须用 HITL 工具确认
- 优先移到回收站：macOS 用
trash，避免rm - 操作前展示计划：先列出分类计划让用户确认，再执行
- 跳过隐藏文件：不整理以
.开头的文件 - 跳过系统文件：不操作 /System、/Library 等路径
输出规范
- 先展示整理计划（哪些文件移到哪里）
- 执行后报告：移动了 X 个文件，清理了 Y MB 空间
- 提醒用户检查归档内容
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 · 84 lines · 32 tokens per session scan A 917cd77fe46f
smart-desktop-organizer is a skill published in the GitHub repository malue-ai/dazee-small (36 stars, last pushed 5mo ago), licensed MIT. It adds 32 tokens to every session and 734 once invoked, about $0.0002 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 2026-09-03.
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