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-scannergit 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-scanner)<a href="https://agentmods.dev/skills/malue-ai/dazee-small/app-scanner"><img src="https://agentmods.dev/badge/skills/malue-ai/dazee-small/app-scanner.svg" alt="Measured on agentmods" 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 | $0.00033 | $0.00899 |
| Opus 5 | $0.00016 | $0.00449 |
| Sonnet 5 | $0.00007 | $0.00180 |
| Haiku 4.5 | $0.00003 | $0.00090 |
Grade A, and why
app-scanner scanned grade A 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 7d 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.
Runs shell commandslowCapability
Expected in a hook, worth knowing in a rule or an instructions file.
result = subprocess.run( How it starts
The opening of the file, as written. The whole thing — 115 lines — stays where its author put it; the contents beside it link to each section on GitHub.
macOS 应用发现
扫描用户电脑上安装了哪些应用,根据任务需求推荐最合适的工具。
使用场景
- 用户说「我电脑上有什么能编辑 PDF 的软件吗」
- 用户说「帮我打开视频编辑软件」
- 任务需要某个应用但不确定用户是否安装
扫描方式
列出已安装应用
# 方式 1:扫描 /Applications 目录(最常用)
ls /Applications/ | grep -i ".app"
# 方式 2:system_profiler(完整信息,含版本)
system_profiler SPApplicationsDataType -json 2>/dev/null | python3 -c "
import json, sys
data = json.load(sys.stdin)
apps = data.get('SPApplicationsDataType', [])
for app in sorted(apps, key=lambda x: x.get('_name', ''))[:50]:
name = app.get('_name', '')
version = app.get('version', '?')
path = app.get('path', '')
print(f'{name} (v{version}) — {path}')
"
# 方式 3:mdfind(包含非标准位置的应用)
mdfind "kMDItemContentType == 'com.apple.application-bundle'" | head -50
检查特定应用是否安装
# 检查应用是否存在
test -d "/Applications/Visual Studio Code.app" && echo "已安装" || echo "未安装"
# 通过 mdfind 查找
mdfind "kMDItemCFBundleIdentifier == 'com.microsoft.VSCode'"
# 通过 CLI 检查
which code && echo "VS Code CLI 可用" || echo "VS Code CLI 不可用"
获取应用详细信息
# 获取应用 Bundle ID
mdls -name kMDItemCFBundleIdentifier "/Applications/Safari.app"
# 获取应用版本
mdls -name kMDItemVersion "/Applications/Safari.app"
# 获取应用支持的文件类型
mdls -name kMDItemContentTypeTree "/Applications/Preview.app"
按文件类型推荐应用
# 查找能打开 PDF 的应用
python3 -c "
import subprocess, json
result = subprocess.run(
['python3', '-c', '''
import CoreServices
from LaunchServices import LSCopyAllRoleHandlersForContentType
handlers = LSCopyAllRoleHandlersForContentType(\"com.adobe.pdf\", 0xFFFFFFFF)
if handlers:
for h in handlers:
print(h)
'''],
capture_output=True, text=True
)
print(result.stdout)
"
# 简单方式:用 open 命令查看默认应用
open -Ra "Preview" 2>/dev/null && echo "Preview 可用"
常见能力映射
| 用户需求 | 查找关键词 | 常见应用 |
|---|---|---|
| 编辑 PDF | PDF, Preview, Acrobat | Preview, Adobe Acrobat |
| 写文档 | Word, Pages, Writer | Pages, Word, LibreOffice |
| 做表格 | Excel, Numbers, Sheets | Numbers, Excel |
| 做 PPT | Keynote, PowerPoint | Keynote, PowerPoint |
| 编辑图片 | Photos, Photoshop, GIMP | Preview, Photos, Pixelmator |
| 编辑视频 | iMovie, Final Cut, DaVinci | iMovie, Final Cut Pro |
| 写代码 | VS Code, Xcode, Sublime | VS Code, Xcode |
| 浏览器 | Safari, Chrome, Firefox | Safari, Chrome |
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.
- 7d ago First seen · 115 lines · 33 tokens per session scan A 5501a1c030cc
app-scanner is a skill published in the GitHub repository malue-ai/dazee-small (36 stars, last pushed 5mo ago), licensed MIT. It adds 33 tokens to every session and 899 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 1 finding (runs shell commands). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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