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tom859174-sketch

网络搜索助手

作者 flyingants · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ⚠ suspicious
124
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1
当前安装
1
版本数
在 OpenClaw 中安装
/install web-search-dashscope
功能描述
使用 Serper API 进行实时互联网搜索(国内可访问,基于 Google Search)
安全使用建议
This skill will perform Serper Google-like searches and is otherwise straightforward, but two red flags deserve attention: (1) web_search.py contains a hard-coded Serper API key — using someone else's embedded key can expose you to quota limits, unexpected billing or abuse, and the owner may revoke it at any time. Replace it with your own key or, better, modify the script to read the key from a secure environment variable or OpenClaw secret store before use. (2) SKILL.md tells you to install the 'requests' package even though the script uses urllib; the docs are inaccurate. Before installing, verify and remove the embedded API key, confirm you understand and supply your own Serper API key, and consider editing the code to load credentials from an env var (e.g., SERPER_API_KEY) and to validate rate limits. If you do not want to expose your own API key to the skill, do not install or run it as-is.
功能分析
Type: OpenClaw Skill Name: web-search-dashscope Version: 1.0.0 The skill bundle provides a legitimate web search functionality using the Serper API (google.serper.dev). The Python script (web_search.py) uses standard libraries (urllib) to perform HTTP POST requests and contains no evidence of data exfiltration, malicious execution, or prompt injection. While a hardcoded API key is present in web_search.py, it appears to be a leaked or placeholder credential rather than a malicious indicator.
能力评估
Purpose & Capability
The name/description (Serper-based web search) align with the code and network endpoint (https://google.serper.dev/search). However, the bundle includes an embedded API key in web_search.py that is not declared in requires.env or documented as pre-provided; this is an unexpected direct credential inclusion even though it permits the stated capability.
Instruction Scope
SKILL.md tells the user to edit web_search.py to replace a placeholder API key and to install the 'requests' library. The code already contains a non-placeholder hard-coded SERPER_API_KEY value and does not use the requests library (it uses urllib). These inconsistencies mean the runtime instructions are inaccurate and may mislead users about who owns the API key and what dependencies are required.
Install Mechanism
No install spec is provided (instruction-only skill with a code file). Nothing is downloaded or written by an installer, which is the lower-risk option. The only required binary is python, which is appropriate for a Python script.
Credentials
No environment variables are required, but the script embeds an HTTP API key in source code (SERPER_API_KEY). Embedding a third-party API key in shipped code is disproportionate: it risks key leakage, abuse of someone else's quota, and provides no auditability for the user. A more appropriate design would declare the API key as a required env var or use the agent's secure config mechanism.
Persistence & Privilege
The skill does not request persistent/autonomous privileges beyond normal skill invocation (always:false). It does not modify other skills or system settings.
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 web-search-dashscope
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /web-search-dashscope 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
v1.0.0 - First release: web search using Serper API
元数据
Slug web-search-dashscope
版本 1.0.0
许可证 MIT-0
累计安装 1
当前安装数 1
历史版本数 1
常见问题

网络搜索助手 是什么?

使用 Serper API 进行实时互联网搜索(国内可访问,基于 Google Search). 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 124 次。

如何安装 网络搜索助手?

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

网络搜索助手 是免费的吗?

是的,网络搜索助手 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

网络搜索助手 支持哪些平台?

网络搜索助手 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 网络搜索助手?

由 flyingants(@tom859174-sketch)开发并维护,当前版本 v1.0.0。

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