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 app-recommendergit 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/app-recommender)<a href="https://agentmods.dev/skills/malue-ai/dazee-small/app-recommender"><img src="https://agentmods.dev/badge/skills/malue-ai/dazee-small/app-recommender/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/app-recommender"><img src="https://agentmods.dev/badge/skills/malue-ai/dazee-small/app-recommender.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 | $0.00028 | $0.00773 |
| Opus 5 | $0.00014 | $0.00387 |
| Sonnet 5 | $0.00006 | $0.00155 |
| Haiku 4.5 | $0.00003 | $0.00077 |
Grade A, and why
app-recommender 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 8d 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
应用推荐
根据用户任务需求，结合已安装的应用（通过 app-scanner），推荐最合适的软件。
使用场景
- 用户说「我想编辑一张图片，用什么软件好」
- 用户说「有没有免费的视频剪辑工具推荐」
- 任务执行中需要某类应用但不确定推荐哪个
工作流程
用户需求（如「编辑 PDF」）
↓
1. 调用 app-scanner 获取已安装应用列表
↓
2. 匹配已安装应用中能满足需求的
↓
3. 如果有多个匹配 → 按优先级推荐
如果无匹配 → 推荐安装方案
↓
4. 输出推荐结果
推荐优先级
- 系统自带应用（免费、无需安装）
- 用户已安装的应用（已有，直接用）
- 免费开源应用（推荐安装）
- 付费应用（说明价格和优势）
常见需求 → 推荐映射
macOS
| 需求 | 系统自带 | 推荐免费 | 推荐付费 |
|---|---|---|---|
| 看/标注 PDF | Preview | Skim | PDF Expert |
| 编辑图片 | Preview, Photos | GIMP | Pixelmator Pro |
| 写文档 | TextEdit, Pages | LibreOffice | Word |
| 做表格 | Numbers | LibreOffice | Excel |
| 做 PPT | Keynote | LibreOffice | PowerPoint |
| 剪视频 | iMovie | DaVinci Resolve | Final Cut Pro |
| 写代码 | - | VS Code | - |
| 画图/设计 | - | Figma (Web) | Sketch |
| 录屏 | Screenshot (Cmd+Shift+5) | OBS | ScreenFlow |
| 压缩文件 | Archive Utility | Keka | BetterZip |
| 看 Markdown | - | MacDown | Typora |
| 终端 | Terminal | iTerm2 | - |
Windows
| 需求 | 系统自带 | 推荐免费 | 推荐付费 |
|---|---|---|---|
| 看 PDF | Edge | SumatraPDF | Adobe Acrobat |
| 编辑图片 | Paint | GIMP | Photoshop |
| 写文档 | WordPad | LibreOffice | Word |
| 剪视频 | Clipchamp | DaVinci Resolve | Premiere |
| 写代码 | Notepad | VS Code | - |
| 录屏 | Xbox Game Bar | OBS | Camtasia |
通用（跨平台）
| 需求 | 推荐免费 | 推荐付费 |
|---|---|---|
| 笔记 | Obsidian, Notion | Bear |
| 任务管理 | Trello, Todoist | Things |
| 密码管理 | Bitwarden | 1Password |
| 邮件 | Thunderbird | Spark |
| 浏览器 | Firefox, Chrome | Arc |
输出规范
- 先推荐用户已安装的（「你电脑上有 Preview，可以直接用它打开」）
- 如果需要安装，给出一步命令（
brew install xxx或 App Store 链接） - 说人话，不堆参数（「iMovie 够用了，免费的，系统自带」）
- 付费应用注明价格范围
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.
- 8d ago First seen · 90 lines · 28 tokens per session scan A 386e71433676
app-recommender is a skill published in the GitHub repository malue-ai/dazee-small (36 stars, last pushed 5mo ago), licensed MIT. It adds 28 tokens to every session and 773 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 2026-08-31.
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