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pagoda111king

Cloud Agent Intelligence

by pagoda111king · GitHub ↗ · v0.1.0 · MIT-0
cross-platform ✓ Security Clean
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Install in OpenClaw
/install cloud-agent-intelligence
Description
提供全球云厂商智能体动态监控、竞品深度分析、情报查询及定制对比报告的手动触发接口。
README (SKILL.md)

cloud-agent-intelligence【自研系统技能】

版本：v0.1.0
定位：云虾情报分析助手 - 监控全球云厂商智能体动态

📖 技能说明

这是「全球云虾情报系统」的手动调用接口，让你可以：

  • 立即触发竞品分析（不等待每日 Cron）
  • 深度分析特定云厂商
  • 查询竞品动态
  • 生成对比报告

对应的系统：全球云虾情报系统（Cron 任务自动运行）

🎯 使用场景

场景 示例
立即监控竞品 「立即监控腾讯云的动态」
深度分析 「深度分析 DeerFlow 的架构」
生成报告 「生成竞品对比报告」
查询情报 「DeerFlow 有多少技能？」

🚀 使用方法

1. 立即监控竞品

立即监控 [云厂商] 的动态

示例：
- 立即监控腾讯云的动态
- 立即监控字节火山引擎的更新
- 立即监控 AWS 的新功能

2. 深度分析

深度分析 [竞品名称] 的 [分析维度]

示例：
- 深度分析 DeerFlow 的技能设计
- 深度分析 Copilot 的编排模式
- 深度分析 GPTs 的定制能力

3. 生成报告

生成 [时间范围] 的竞品对比报告

示例：
- 生成今日的竞品动态报告
- 生成本周的竞品分析报告
- 生成竞品的技能对比报告

4. 查询情报

查询 [竞品名称] 的 [信息类型]

示例：
- 查询 DeerFlow 有多少技能
- 查询 Copilot 的定价策略
- 查询各云厂商的技能数量对比

📋 核心功能

  1. 竞品监控

    • 腾讯云智能体
    • 华为云盘古
    • 字节火山引擎
    • AWS/Azure/Google

  2. 深度分析

    • 技能设计分析
    • 架构模式分析
    • 定价策略分析

  3. 对比报告

    • 技能数量对比
    • 功能对比
    • 好用程度排名

  4. 情报查询

    • 竞品信息查询
    • 历史动态查询
    • 趋势分析

📊 监控的云厂商

厂商 智能体名称 监控状态
阿里云 云虾（我们） ✅ 自我监控
腾讯云 腾讯云智能体 ✅ 已监控
华为云 盘古大模型智能体 ✅ 已监控
字节火山引擎 扣子/Doubao ✅ 已监控
AWS Amazon Q 📋 规划中
Azure Copilot 📋 规划中
Google Gemini 📋 规划中

🔗 与 Cron 任务的关系

Cron 任务（自动运行）：

  • 每日情报监控（09:00）
  • 每周深度调研（周六 15:00）

本技能（手动调用）：

  • 立即触发监控
  • 深度分析特定竞品
  • 生成定制报告

创建时间：2026-03-27 22:03
维护者：王的奴隶 · 严谨专业版
标签：#自研系统 #竞品分析 #情报监控

💰 购买与授权

本技能版本：v0.1.0

授权类型：

  • 个人版：$29.9（永久使用，个人非商业用途）
  • 商业版：$99.9（永久使用，商业用途）

购买后获得：

  • ✅ 技能完整源码
  • ✅ 使用文档
  • ✅ 1 年免费更新
  • ✅ 邮件支持

购买方式：

  1. 访问 ClawHub 技能页面
  2. 选择授权类型
  3. 支付（支付宝/微信/PayPal）
  4. 自动获得授权码

联系方式：

  • 📧 邮箱：[email protected]
  • 💬 微信：CloudShrimpSupport（备注：技能名称）

企业定制：

技能版本：v0.1.0
创建时间：2026-03-27
维护者：王的奴隶 · 严谨专业版

Usage Guidance
This skill appears coherent and low-risk but is currently a placeholder: the JS is unimplemented and SKILL.md documents a manual trigger for an external backend. Before installing or paying for a 'commercial' version, verify the maintainer and backend: 1) Confirm the source/homepage and that the external 'global cloud intelligence' system actually exists (the registry entry lists no homepage and source is unknown). 2) Avoid sending payment or credentials out-of-band until you can audit the provided source or obtain a trusted distribution channel. 3) If you install, expect no functionality until the backend/API or implementation is provided—there are no env vars or installs required by the package itself. 4) If the skill later requests API keys, credentials, or an install script, re-evaluate proportionality and verify endpoints and install sources (prefer official domains/GitHub releases over personal servers).
Capability Analysis
Type: OpenClaw Skill Name: cloud-agent-intelligence Version: 0.1.0 The skill bundle is a non-functional skeleton or template for a cloud intelligence monitoring tool. The core logic in `src/index.js` contains only placeholders (TODOs), and the `SKILL.md` file provides descriptive usage scenarios and licensing information without any malicious instructions, data exfiltration attempts, or risky API calls.
Capability Assessment
✓ Purpose & Capability
The name/description claim a manual trigger interface for a cloud-intel system; the package contains only a small placeholder JS module and a detailed SKILL.md describing manual actions. There are no unrelated binaries, credentials, or config paths requested—this matches the stated purpose of a thin wrapper/UX layer.
✓ Instruction Scope
SKILL.md contains user-facing invocation examples and descriptions of monitoring/analysis/reporting capabilities but does not instruct the agent to read arbitrary files, access environment variables, or send data to unknown endpoints. It references an external Cron-driven system (the backend), which is plausible for a manual trigger skill; the documentation does not include steps that would exfiltrate data or access unrelated system resources.
✓ Install Mechanism
No install spec is provided (instruction-only plus a tiny placeholder source file). There are no downloads, external archive extracts, or package installation steps that would write or execute third-party code on the host—this is the lowest-risk pattern.
✓ Credentials
The skill declares no required environment variables, no primary credential, and no config paths. That is proportionate to an unimplemented/manual-trigger skill. There are contact/payment details in the SKILL.md, but those are out-of-band and not credentials requested by the skill itself.
✓ Persistence & Privilege
The skill does not request always:true and uses default model-invocation behavior. It does not modify other skills or system-wide settings in the provided files. The placeholder implementation returns a ready message and does not persist credentials or alter agent config.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install cloud-agent-intelligence
  3. After installation, invoke the skill by name or use /cloud-agent-intelligence
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v0.1.0
cloud-agent-intelligence v0.1.0 - 首次发布，支持“全球云虾情报系统”手动触发分析与监控。 - 可立即监控与对比腾讯云、华为云、字节火山引擎等主流云厂商智能体动态。 - 提供深度分析、对比报告与情报查询功能。 - 支持监控状态一览及灵活定制分析维度。 - 明确区分 Cron 自动任务与手动调用能力。
Metadata
Slug cloud-agent-intelligence
Version 0.1.0
License MIT-0
All-time Installs 1
Active Installs 1
Total Versions 1
Frequently Asked Questions

What is Cloud Agent Intelligence?

提供全球云厂商智能体动态监控、竞品深度分析、情报查询及定制对比报告的手动触发接口。 It is an AI Agent Skill for Claude Code / OpenClaw, with 120 downloads so far.

How do I install Cloud Agent Intelligence?

Run "/install cloud-agent-intelligence" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Cloud Agent Intelligence free?

Yes, Cloud Agent Intelligence is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Cloud Agent Intelligence support?

Cloud Agent Intelligence is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Cloud Agent Intelligence?

It is built and maintained by pagoda111king (@pagoda111king); the current version is v0.1.0.

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