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yezhaowang888-stack

美国市场政策查询Skill

by yezhaowang888-stack · GitHub ↗ · v2.0.1 · MIT-0
cross-platform ✓ Security Clean
81
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Install in OpenClaw
/install huimai-usa-policy
Description
提供基于惠迈智能体架构的美国市场政策、法规及投资环境的多语言智能查询与分析服务。
README (SKILL.md)

美国市场政策查询Skill

🚀 概述

基于惠迈智能体三层架构的政策查询框架,提供美国市场政策、法规、投资环境的智能查询和分析。

🌟 核心亮点

  • 惠迈智能体协作:基于惠迈三层智能体架构,支持多源数据整合
  • 惠迈智能体协作:基于惠迈三层智能体架构,确保数据准确性和实时性
  • 多语言支持:支持中文、英文等多种语言
  • 数据源可配置:灵活配置不同数据源,适应各种业务需求

🔧 技术特性

多语言支持

  • 中文(简体)
  • 英文(美国)
  • 自动语言检测和切换

数据源配置

{
  dataSources: {
    investment: '[请替换为您的美国投资政策数据源]',
    trade: '[请替换为您的美国贸易法规数据源]',
    // ... 其他数据源
  }
}

📦 安装

# 通过ClawHub安装
clawhub install usa-policy-query

# 或手动安装
npm install usa-policy-query

🔒 安全使用指南

  1. 数据源配置:使用环境变量管理敏感数据源信息
  2. API密钥:不要将真实API密钥写入代码
  3. 权限控制:为数据源配置最小必要权限

支持

如有问题,请提交Issue或联系维护团队。


惠迈智能体:让全球业务变得简单

Usage Guidance
This skill appears to be a small, local implementation that simulates policy queries and analysis; it does not currently make network calls or ask for secrets. Two things to consider before installing or using it in production: (1) The README and package metadata claim DeepSeek / 惠迈 integrations that the code does not implement — treat those claims as marketing unless you see code that performs those integrations. (2) If you replace the placeholder dataSources with real APIs, you'll need to supply API keys or endpoints — only provide secrets to well-reviewed code and trusted sources. Because the skill's source/homepage are unknown, prefer running it in an isolated environment and review/modify the code yourself before supplying any credentials or connecting it to external data sources.
Capability Analysis
Type: OpenClaw Skill Name: huimai-usa-policy Version: 2.0.1 The skill bundle is a well-structured template for a US market policy query tool, featuring multi-language support and a modular design. The code in index.js and test.js contains only mock logic and boilerplate for data handling, with no actual network requests, file system access, or sensitive data exfiltration. While the documentation (README.md, SKILL.md) mentions futuristic versions like 'DeepSeek v4' and dates in 2026, these appear to be placeholder marketing content rather than indicators of malicious intent or functional risk.
Capability Tags
requires-sensitive-credentials
Capability Assessment
Purpose & Capability
The name/description (US market policy queries, multi-language, configurable data sources) match the provided code: index.js implements query, analysis, language switching, and caching. However, README and package.json claim integration with DeepSeek v4 and a 惠迈 multi-agent architecture while the actual code contains no network/model integrations or dependencies — it returns simulated policy data from local functions. This is an overclaim (misleading) but not evidence of malicious behavior.
Instruction Scope
SKILL.md contains ordinary installation and configuration guidance and recommends using environment variables for API keys. The runtime instructions do not ask the agent to read unrelated system files, credentials, or transmit data to unknown endpoints. The code likewise performs no file I/O or network calls.
Install Mechanism
No install spec is provided (instruction-only skill), and the package contains only small JS files with no dependencies. There are no download URLs or extract steps, so installation risk is low.
Credentials
Metadata declares no required environment variables or credentials (none requested). README and examples suggest using environment variables like INVESTMENT_API_KEY / TRADE_API_KEY if integrating real data sources — that is reasonable, but optional. Be aware the current shipped code does not actually read those env vars; if you later configure dataSources to call external services you will need to provide credentials.
Persistence & Privilege
The skill does not request persistent/always-on privileges (always:false) and does not modify other skills or system configuration. Autonomous invocation settings are default and not by themselves concerning.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install huimai-usa-policy
  3. After installation, invoke the skill by name or use /huimai-usa-policy
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v2.0.1
清理测试标签,恢复正式发布状态
v2.0.0
删除后重发测试
v1.0.22
删除测试前确认版本
v1.0.21
日总量测试 v1.0.21
v1.0.20
日总量测试 v1.0.20
v1.0.19
日总量测试 v1.0.19
v1.0.18
日总量测试 v1.0.18
v1.0.17
日总量测试 v1.0.17
v1.0.16
日总量测试 v1.0.16
v1.0.15
日总量测试 v1.0.15
v1.0.14
日总量测试 v1.0.14
v1.0.13
日总量测试 v1.0.13
v1.0.12
日总量测试 v1.0.12
v1.0.11
日总量测试 v1.0.11
v1.0.10
日总量测试 v1.0.10
v1.0.9
日总量测试 v1.0.9
v1.0.8
日总量测试 v1.0.8
v1.0.7
日总量测试 v1.0.7
v1.0.6
日总量测试 v1.0.6
v1.0.5
日总量测试 v1.0.5
Metadata
Slug huimai-usa-policy
Version 2.0.1
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 24
Frequently Asked Questions

What is 美国市场政策查询Skill?

提供基于惠迈智能体架构的美国市场政策、法规及投资环境的多语言智能查询与分析服务。 It is an AI Agent Skill for Claude Code / OpenClaw, with 81 downloads so far.

How do I install 美国市场政策查询Skill?

Run "/install huimai-usa-policy" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is 美国市场政策查询Skill free?

Yes, 美国市场政策查询Skill is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does 美国市场政策查询Skill support?

美国市场政策查询Skill is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created 美国市场政策查询Skill?

It is built and maintained by yezhaowang888-stack (@yezhaowang888-stack); the current version is v2.0.1.

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