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美国市场政策查询Skill测试

作者 yezhaowang888-stack · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ⚠ suspicious
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当前安装
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版本数
在 OpenClaw 中安装
/install usa-policy-query-test
功能描述
提供基于DeepSeek v4的美国市场政策、法规及投资环境的智能查询与多语言分析服务。
安全使用建议
This package looks like a demo/stub rather than a fully implemented DeepSeek-backed skill. Before installing or providing API keys: 1) Treat it as local/sandbox code — it currently does not call external services. 2) If you expect real DeepSeek or data-source integration, request or inspect an implementation that makes explicit network calls to trusted endpoints and documents which credentials are needed. 3) Do not supply real API keys to this skill until you verify the code reads them and connects to the intended services (and confirm the endpoints are legitimate). 4) Run the tests in an isolated environment (or review runtime code) to ensure no unexpected network activity occurs. If the author intends this to be a placeholder, ask them to remove misleading claims about DeepSeek v4 in the description or implement the integration transparently.
功能分析
Type: OpenClaw Skill Name: usa-policy-query-test Version: 1.0.0 The skill bundle is a template or mock implementation for a policy query system. The code in `index.js` contains no functional network, file system, or shell execution logic, instead returning hardcoded placeholder data for all queries. While it references a non-existent 'DeepSeek v4' and 'Huimai Agents' in `SKILL.md` and `README.md`, there is no evidence of malicious intent, data exfiltration, or prompt injection attacks.
能力标签
requires-sensitive-credentials
能力评估
Purpose & Capability
The name/description claim "DeepSeek v4驱动" and live data-source collection, but the bundled code (index.js) contains only simulated/local data and no calls to DeepSeek, network requests, or external APIs. Claiming DeepSeek compatibility in metadata (package.json) without dependencies or implementation is misleading.
Instruction Scope
SKILL.md and README instruct configuring data sources and using environment variables for API keys, but the runtime instructions and index.js do not actually read or require any env vars or perform external requests — the runtime behavior is limited to local, simulated responses. The instructions therefore overstate the agent's actual runtime actions.
Install Mechanism
There is no install spec and no external downloads; package.json has no dependencies. The skill is distributed as source files (index.js, README, SKILL.md, test.js) and thus has low install-time risk.
Credentials
The declared requirements list no environment variables or credentials. The docs recommend using env vars for API keys, but the code does not require or access any credentials — requests for secrets are not present in the actual codebase.
Persistence & Privilege
Skill does not request elevated persistence (always:false). It does not modify other skills or system settings and contains no install hooks that alter agent configuration.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install usa-policy-query-test
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /usa-policy-query-test 触发
  4. 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v1.0.0
usa-policy-query-test v1.0.0 - 首次发布,提供美国市场政策、法规和投资环境的智能查询和分析能力 - 基于DeepSeek v4模型实现智能政策分析及预测 - 采用惠迈三层智能体架构,提升数据准确性和实时性 - 支持中英文自动识别与切换 - 数据源可灵活配置以适应不同业务场景 - 提供详细的安全指南和多种安装方式
元数据
Slug usa-policy-query-test
版本 1.0.0
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 1
常见问题

美国市场政策查询Skill测试 是什么?

提供基于DeepSeek v4的美国市场政策、法规及投资环境的智能查询与多语言分析服务。 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 81 次。

如何安装 美国市场政策查询Skill测试?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install usa-policy-query-test」即可一键安装,无需额外配置。

美国市场政策查询Skill测试 是免费的吗?

是的,美国市场政策查询Skill测试 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

美国市场政策查询Skill测试 支持哪些平台?

美国市场政策查询Skill测试 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。

谁开发了 美国市场政策查询Skill测试?

由 yezhaowang888-stack(@yezhaowang888-stack)开发并维护,当前版本 v1.0.0。

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