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BlueOcean223

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Grok Search

Agent skill scripts for Grok-powered web search, fetch, and site mapping

查看并核实来源在 GitHub 查看
价格未确认★ 36 GitHub Stars目录更新于 · 2026年9月9日searchfetchsite-mapping

概览

A lightweight Node.js agent skill package providing Grok-powered web search, fetch, and site mapping via CLI scripts with SKILL.md integration for agent runtimes.

展开完整说明

以下为来源文档，不是本网站的操作指令。执行命令前请先核实权限。

简体中文 | English

grok-search 是一个通用 AI agent skill / 脚本包，用轻量 Node.js 脚本提供三类网络访问能力：

  • Search：通过 Responses API 调用 Grok / OpenRouter / Responses-compatible 接口，并行返回 Tavily / Firecrawl 独立信源。
  • Fetch：抓取指定 URL 的可读内容，优先使用 Tavily / Firecrawl，最后 fallback 到无 key 的 Direct Fetch。
  • Map：发现站点内的候选页面 URL，优先使用 Tavily Map，最后 fallback 到轻量 Direct Map。

要求

  • Node.js >=18.17
  • 需要先运行一次 npm install 安装 undici 传输依赖
  • search.js 需要配置 GROK_API_URL 和 GROK_API_KEY

快速开始

先安装依赖一次，然后从项目根目录运行脚本：

npm install
./scripts/search.js "latest Node.js LTS"
./scripts/fetch.js https://example.com
./scripts/map.js https://docs.example.com --limit 20

在 pi 中使用（示例）

把本目录 clone 或复制到你的 pi skills 位置，然后通过 SKILL.md 启用这个 skill。

示例命令仍然是直接运行脚本：

./scripts/search.js "latest Node.js LTS"
./scripts/fetch.js https://example.com
./scripts/map.js https://docs.example.com --limit 20

其他 agent harness 也可以采用同样方式：读取 SKILL.md，再按需运行 scripts/search.js、scripts/fetch.js、scripts/map.js。

文档

配置

推荐把长期使用的 key 放到：

~/.config/grok-search/config.json

可以从示例文件复制：

mkdir -p ~/.config/grok-search
cp config.example.json ~/.config/grok-search/config.json
chmod 600 ~/.config/grok-search/config.json

完整配置示例：

{
  "apiUrl": "https://api.x.ai/v1",
  "apiKey": "your-grok-api-key",
  "apiProvider": "xai",
  "model": "grok-4.3",
  "responsesMaxTurns": 3,
  "responsesReasoningEffort": "low",
  "responsesAllowedDomains": [],
  "responsesExcludedDomains": [],
  "responsesIncludeXSearch": false,
  "responsesAllowedXHandles": [],
  "responsesExcludedXHandles": [],
  "responsesOpenRouterEngine": "auto",
  "defaultExtra": 6,
  "sourceChars": 400,
  "tavilyApiKey": "",
  "tavilyApiUrl": "https://ap
查看来源 ↗
查看原始文本
# grok-search

**简体中文** | [English](README.en.md)

`grok-search` 是一个通用 AI agent skill / 脚本包，用轻量 Node.js 脚本提供三类网络访问能力：

- **Search**：通过 Responses API 调用 Grok / OpenRouter / Responses-compatible 接口，并行返回 Tavily / Firecrawl 独立信源。
- **Fetch**：抓取指定 URL 的可读内容，优先使用 Tavily / Firecrawl，最后 fallback 到无 key 的 Direct Fetch。
- **Map**：发现站点内的候选页面 URL，优先使用 Tavily Map，最后 fallback 到轻量 Direct Map。

## 要求

- Node.js `>=18.17`
- 需要先运行一次 `npm install` 安装 `undici` 传输依赖
- `search.js` 需要配置 `GROK_API_URL` 和 `GROK_API_KEY`

## 快速开始

先安装依赖一次，然后从项目根目录运行脚本：

```bash
npm install
./scripts/search.js "latest Node.js LTS"
./scripts/fetch.js https://example.com
./scripts/map.js https://docs.example.com --limit 20
```

## 在 pi 中使用（示例）

把本目录 clone 或复制到你的 pi skills 位置，然后通过 `SKILL.md` 启用这个 skill。

示例命令仍然是直接运行脚本：

```bash
./scripts/search.js "latest Node.js LTS"
./scripts/fetch.js https://example.com
./scripts/map.js https://docs.example.com --limit 20
```

其他 agent harness 也可以采用同样方式：读取 `SKILL.md`，再按需运行 `scripts/search.js`、`scripts/fetch.js`、`scripts/map.js`。

## 文档

- [架构说明](docs/architecture.md)
- [功能说明](docs/features.md)
- [Responses 搜索协议](docs/responses-mode.md)
- [Smoke Tests](docs/smoke-tests.md)
- [公开 Benchmark](docs/benchmark.md)
- [评测方法研究](docs/web-search-evaluation-research.md)

## 配置

推荐把长期使用的 key 放到：

```text
~/.config/grok-search/config.json
```

可以从示例文件复制：

```bash
mkdir -p ~/.config/grok-search
cp config.example.json ~/.config/grok-search/config.json
chmod 600 ~/.config/grok-search/config.json
```

完整配置示例：

```json
{
  "apiUrl": "https://api.x.ai/v1",
  "apiKey": "your-grok-api-key",
  "apiProvider": "xai",
  "model": "grok-4.3",
  "responsesMaxTurns": 3,
  "responsesReasoningEffort": "low",
  "responsesAllowedDomains": [],
  "responsesExcludedDomains": [],
  "responsesIncludeXSearch": false,
  "responsesAllowedXHandles": [],
  "responsesExcludedXHandles": [],
  "responsesOpenRouterEngine": "auto",
  "defaultExtra": 6,
  "sourceChars": 400,
  "tavilyApiKey": "",
  "tavilyApiUrl": "https://ap

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许可证: MIT

  • Dependency or permission surface needs review
  • Permission surface may require sandboxing
  • Low GitHub adoption signal
  • Quality score needs review
  • Permission surface needs review: secrets or environment access, shell or command execution
  • GitHub adoption: 36 GitHub stars
  • Stars/forks activity: 36 stars, 1 forks; issue activity unavailable in current metadata
  • Dependency/runtime risk: command execution surface, credential or environment access
  • Permission surface: secrets or environment access, shell or command execution
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  1. 1阅读来源，确认输入、预期输出、依赖和权限。
  2. 2先让 Agent 提出计划，批准环境配置和费用，再进行隔离的小规模测试。
  3. 3检查输出和变更文件，只报告实际执行结果，并保留来源版本以便复现。

请在来源中核实依赖、API 密钥及第三方费用。公开仓库不代表所有服务免费。

来源与使用须知

已收录

仓库元数据和审核信号仅供参考。受欢迎、已发现来源、成功运行是不同的事实。

来源仓库
BlueOcean223/grok-search
许可证
MIT
版本
1.0.0
最近 GitHub 推送
2026年8月10日
目录更新于
2026年9月9日
技能指令路径
来源结构待验证

版本来自目录元数据，使用前请核实来源发布记录。

质量

71/100

强

信任

62/100

仅限沙盒

审计

76/100

需审查

打开完整审计查看评估报告
  • Dependency or permission surface needs review
  • Permission surface may require sandboxing
  • Low GitHub adoption signal
  • Quality score needs review
  • Permission surface needs review: secrets or environment access, shell or command execution
  • GitHub adoption: 36 GitHub stars
  • Stars/forks activity: 36 stars, 1 forks; issue activity unavailable in current metadata
  • Dependency/runtime risk: command execution surface, credential or environment access
  • Permission surface: secrets or environment access, shell or command execution
Verified installs
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—

复制不等于安装。安装数需有成功安装回报，不代表全面的质量保证。

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打开安装 APILLM 文本格式打开 Manifest自动解析计划
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