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 cloud-agentgit 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/cloud-agent)<a href="https://agentmods.dev/skills/malue-ai/dazee-small/cloud-agent"><img src="https://agentmods.dev/badge/skills/malue-ai/dazee-small/cloud-agent/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/cloud-agent"><img src="https://agentmods.dev/badge/skills/malue-ai/dazee-small/cloud-agent.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 | $0.00071 | $0.01726 |
| Opus 5 | $0.00036 | $0.00863 |
| Sonnet 5 | $0.00014 | $0.00345 |
| Haiku 4.5 | $0.00007 | $0.00173 |
Grade A, and why
cloud-agent 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 — 187 lines — stays where its author put it; the contents beside it link to each section on GitHub.
云端 Agent 委托
云端 Agent 是本地的能力扩展。本地优先处理，但当本地不适合或无法完成时，委托云端。
云端与本地的能力边界
云端独有（本地做不到）
- 隔离代码沙箱：Docker 容器内安全执行任意代码（Python/Node/Shell），不影响用户系统
- 项目构建与发布：沙箱内 build 项目 + 打包 Docker 镜像 + 部署到公网 URL，用户可直接访问
- 24/7 持续运行：云端定时任务不受电脑开关机影响，支持 cron/interval/once 三种调度模式
- 云端文件存储：S3/OSS 持久化，生成预签名下载链接
本地独有（云端做不到）
- 桌面 UI 自动化（peekaboo / pywinauto / Claude Computer Use）
- 本地应用控制（打开微信、操作飞书、Apple Mail/Calendar 等）
- 截图 + OCR、剪贴板读写
- 本地文件直接访问（整理桌面、移动文件）
两端都有（不是委托云端的理由）
- 联网搜索：本地有 DuckDuckGo/Brave/Tavily/arXiv/论文搜索，日常搜索本地即可
- 网页内容提取：本地有 Jina Reader、Crawl4AI
- 知识库检索：本地有 FTS5 + 语义搜索 + RAG
- 文件处理：本地可直接读写 PDF/Excel/Word
什么时候委托云端
满足以下任一理由即可委托：
理由 1：持续运行 — 任务可能比本次开机时长更久
理由 2：沙箱执行 — 需要隔离环境运行代码或构建发布项目
理由 3：深度调研 — 长时间、多轮、不怕关机的深度分析
云端深度调研的优势不在于"能搜索"（本地也能），而在于：
- 不受开机限制，可以跑数小时
- 多轮迭代搜索 + 分析 + 再搜索，自主推进
- 适合产出完整报告、对比分析等重度输出
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 · 187 lines · 71 tokens per session scan A 0ef3b2a1faa6
cloud-agent is a skill published in the GitHub repository malue-ai/dazee-small (36 stars, last pushed 5mo ago), licensed MIT. It adds 71 tokens to every session and 1,726 once invoked, about $0.0004 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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