docs: README 改为中文并面向 AI 使用场景; 删除 CI 配置
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# SearXNG CLI Toolkit
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# SearXNG CLI 技能包
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[](https://git.metona.cn/MetonaTeam/searxng-use-cli/actions)
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[](https://www.python.org/downloads/)
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[](LICENSE)
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A privacy-respecting metasearch CLI toolkit that runs against your own SearXNG instance. Zero external dependencies for search (stdlib only), optional `requests` + `beautifulsoup4` for enhanced page fetching. Works with any AI agent (Hermes, Claude Code, Codex, OpenCode, Cursor, Trae) or directly from your terminal.
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一个面向 AI Agent 的网络搜索与网页抓取技能包。AI 通过终端调用 CLI 脚本即可获得"搜索网络"和"抓取网页"两项核心能力,无需 API Key,路由通过用户自建的 SearXNG 实例完成。
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## Features
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**这不是给人用的工具,而是给 AI 用的技能。** 任何能执行终端命令的 AI Agent(Hermes、Claude Code、Codex、OpenCode、Cursor、Trae 等)均可直接调用。
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**Search & results**
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- Multi-instance failover with parallel probing
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- Exponential-backoff retry on transient errors (429/5xx/connection)
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- `--verify` health-check mode (reachability / JSON-API / latency / POST / engines / auth)
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- Cross-engine result deduplication (default on; `--no-dedup` disables)
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- Result sorting (`--sort-by {score,date,engine,none}`)
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- Domain allowlist/blocklist (`--include-domain` / `--exclude-domain`)
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- Batch mode (`--queries-file`)
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## 为什么需要这个技能
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**Output formats**
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- JSON (default), brief, urls, CSV
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- Enhanced Markdown conversion (GFM tables, code blocks, blockquotes, nested lists, definition lists)
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- Structured JSON error output for machine-readable failure reporting
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AI Agent 在以下场景中需要实时网络信息:
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- 查询最新新闻、文档、技术资料
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- 验证事实、获取实时数据
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- 抓取网页内容进行阅读和分析
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**Caching & config**
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- SQLite result caching (`--cache-ttl`) with TTL management
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- `searxng.toml` config file for defaults; `--config FILE` for explicit loading
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- Instance resolution: `-i` → `SEARXNG_INSTANCE` env → config file
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传统方案依赖付费搜索 API(Google、Bing)或专有爬虫服务。本技能通过用户自建的 SearXNG 实例(隐私元搜索引擎,聚合 70+ 搜索服务)实现零成本、零 API Key、隐私可控的网络搜索能力。
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**Network & auth**
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- Proxy support (`--proxy`) for both search and fetch
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- Auth via CLI flag, file, or env var (`--auth-bearer` / `--auth-basic` + `*-file` variants)
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- Credentials-file permission warning (POSIX)
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## AI 如何使用
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**Engineering**
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- Shared `common.py` (unified retry/charset/auth/logging)
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- Structured logging (`--verbose` / `--quiet`)
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- 155 unit + integration tests with pytest
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## Quick Start
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### 搜索网络
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```bash
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# Prerequisites: Python 3.8+ (optional: pip install requests beautifulsoup4)
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# Search against YOUR instance (instance URL is required)
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python scripts/search.py -q "python asyncio tutorial" -i https://my-searxng.example.com
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# Multiple instances for failover (comma-separated)
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python scripts/search.py -q "rust memory safety" \
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-i https://a.example.com,https://b.example.com --format brief
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# Search + auto-fetch top 3 result pages
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python scripts/search.py -q "climate policy" -i https://my-searxng.example.com --fetch 3
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# Fetch a web page
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python scripts/fetch.py -u "https://example.com" --extract markdown
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# Skip -i via env var
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export SEARXNG_INSTANCE="https://my-searxng.example.com"
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python scripts/search.py -q "python asyncio tutorial"
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python scripts/search.py -q "搜索词" -i https://your-searxng-instance
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```
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## Installation
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AI 调用后,stdout 输出 JSON 格式搜索结果,AI 可解析并使用:
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```json
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{
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"query": "搜索词",
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"results": [
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{"title": "...", "url": "https://...", "content": "摘要...", "engine": "google", "score": 1.0}
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],
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"suggestions": ["相关建议词"],
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"answers": ["直接答案(如有)"]
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}
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```
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### 抓取网页
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```bash
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python scripts/fetch.py -u "https://example.com" --extract markdown
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```
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AI 调用后,stdout 输出网页正文(text/html/markdown 三种格式),AI 可直接阅读分析。
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### 输入输出约定(AI 必读)
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| 通道 | 内容 | 说明 |
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|------|------|------|
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| stdout | 数据 | JSON/CSV/文本,AI 解析的唯一来源 |
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| stderr | 日志 | 进度、警告、错误,AI 可忽略或用于调试 |
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| exit 0 | 成功 | 有结果 |
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| exit 1 | 失败 | 致命错误(所有实例不可用、参数错误等) |
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| exit 2 | 空结果 | 搜索成功但无结果 |
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**错误处理**:`--format json` 模式下,错误以 JSON 输出到 stdout(非 stderr),格式为 `{"error": "...", "exit_code": 1}`,AI 可程序化捕获。
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## 部署
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### 前置条件
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- Python 3.8+
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- 一个 SearXNG 实例 URL(自建或受信任的实例)
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### 安装
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```bash
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git clone https://git.metona.cn/MetonaTeam/searxng-use-cli.git
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cd searxng-use-cli
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```
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# Zero deps — search.py runs on stdlib alone
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python scripts/search.py --version
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无需安装依赖。`search.py` 仅使用 Python 标准库,开箱即用。
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# Optional: enhanced fetch quality
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可选安装(提升 `fetch.py` 抓取质量):
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```bash
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pip install requests beautifulsoup4
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```
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## Usage
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### 配置实例
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### search.py — Execute SearXNG Search
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AI Agent 无需每次传入实例 URL,支持三种配置方式(优先级从高到低):
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1. **CLI 参数**:`-i https://your-instance`
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2. **环境变量**:`export SEARXNG_INSTANCE="https://your-instance"`
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3. **配置文件**:`./searxng.toml` 或 `~/.config/searxng-cli/searxng.toml`
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```toml
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# searxng.toml
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[searxng]
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instance = "https://your-searxng.example.com"
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```
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## 参数参考
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### search.py — 网络搜索
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```bash
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python scripts/search.py -q "your query" -i https://your-instance \
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python scripts/search.py -q "查询词" -i https://your-instance \
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[--format json|brief|urls|csv] \
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[--engines google,bing,brave] \
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[--time-range day|month|year|none] \
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[--language en] \
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[--language zh-CN] \
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[--sort-by score|date|engine|none] \
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[--no-dedup] \
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[--max-results 10] \
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[--verbose|-v] [--quiet]
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```
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### fetch.py — Fetch & Extract Web Page Content
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| 参数 | 说明 | 默认值 |
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|------|------|--------|
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| `-q / --query` | 搜索词(必填,除非用 `--verify`/`--queries-file`/`--clear-cache`/`--cache-stats`) | — |
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| `-i / --instance` | SearXNG 实例 URL,逗号分隔实现故障转移 | — |
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| `-f / --format` | 输出格式:json/brief/urls/csv | json |
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| `--engines` | 搜索引擎列表 | google,bing,brave,duckduckgo,startpage,wikipedia,wikidata |
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| `-t / --time-range` | 时间范围:day/month/year/none | year |
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| `-s / --safesearch` | 安全搜索:0/1/2 | 0(关闭) |
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| `-l / --language` | 语言代码 | — |
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| `-p / --pageno` | 页码 | 1 |
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| `--sort-by` | 排序:score/date/engine/none | score(降序) |
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| `--no-dedup` | 禁用跨引擎去重 | 默认开启去重 |
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| `--max-results` | 限制结果数(去重+排序后截取) | 不限 |
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| `--fetch N` | 自动抓取前 N 个结果的网页正文 | 0(不抓取) |
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| `--cache-ttl` | 缓存分钟数 | 0(不缓存) |
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| `--queries-file` | 批量查询文件(每行一个查询) | — |
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| `--include-domain` | 域名白名单 | — |
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| `--exclude-domain` | 域名黑名单 | — |
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| `--proxy` | 代理 URL | — |
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| `--auth-bearer-file` | Bearer Token 文件 | — |
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| `--auth-basic-file` | Basic Auth 文件 | — |
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| `--verify` | 实例健康检查模式 | — |
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| `--config` | 指定配置文件 | 自动发现 |
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| `-v / --verbose` | 调试日志 | — |
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| `--quiet` | 仅输出警告和错误 | — |
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### fetch.py — 网页抓取
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```bash
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python scripts/fetch.py -u https://example.com \
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--extract text|html|markdown \
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[--encoding gbk] \
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[--max-size 5242880] \
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[--timeout 15] \
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[--retries 3] \
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[--no-redirect] \
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[--proxy http://corp:8080] \
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[--auth-bearer-file ~/.token]
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```
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## Configuration
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| 参数 | 说明 | 默认值 |
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|------|------|--------|
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| `-u / --url` | 目标 URL(必填) | — |
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| `-e / --extract` | 提取模式:text/html/markdown | text |
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| `--encoding` | 强制字符编码 | 自动检测 |
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| `--max-size` | 最大字节数 | 不限 |
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| `--timeout` | 超时秒数 | 15 |
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| `--retries` | 重试次数 | 3 |
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| `--no-redirect` | 不跟随重定向 | 跟随 |
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| `--proxy` | 代理 URL | — |
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| `--auth-bearer-file` | Bearer Token 文件 | — |
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| `--auth-basic-file` | Basic Auth 文件 | — |
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Instance URLs resolve in priority order:
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1. `-i / --instance` (comma-separated for failover)
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2. `SEARXNG_INSTANCE` environment variable
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3. Config file: `./searxng.toml` → `~/.config/searxng-cli/searxng.toml` → `./instances.txt` → `~/.config/searxng-cli/instances.txt`
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## 能力清单
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Example `searxng.toml`:
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```toml
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[searxng]
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instance = "https://my-searxng.example.com"
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# or: instances = ["https://a.example.com", "https://b.example.com"]
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engines = "google,bing,brave,duckduckgo,startpage,wikipedia,wikidata"
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time_range = "year"
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safesearch = 0
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format = "json"
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cache_ttl = 30
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```
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**搜索**
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- 多实例故障转移 + 并行探测
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- 指数退避重试(429/5xx/连接错误)
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- 跨引擎去重(忽略 utm_*/gclid 等跟踪参数)
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- 结果排序(score/date/engine)
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- 域名白名单/黑名单
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- 批量查询(`--queries-file`)
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- 实例健康检查(`--verify`)
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## Testing
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**输出**
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- JSON(默认,含完整元数据)
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- brief(标题+URL+摘要)
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- urls(纯 URL 列表)
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- CSV(表格导出)
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- 结构化 JSON 错误输出
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**网页抓取**
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- text:提取纯文本
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- html:原始 HTML
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- markdown:增强 Markdown 转换(GFM 表格、代码块、引用块、嵌套列表、定义列表)
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**缓存**
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- SQLite 缓存(`--cache-ttl`),相同查询在 TTL 内跳过网络
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- `--clear-cache` / `--cache-stats` 管理缓存
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**网络**
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- 代理支持(`--proxy`)
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- 认证(Bearer/Basic,支持文件和环境变量,避免 shell 历史泄露)
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- 凭证文件权限警告(POSIX)
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**工程**
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- 共享 `common.py`(统一重试/字符集/认证/日志)
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- 结构化日志(`--verbose` / `--quiet`)
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- 155 个单元+集成测试
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## 跨 Agent 兼容性
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本技能与 Agent 无关——任何能执行终端命令的 AI 均可使用:
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| Agent | 调用方式 |
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|-------|---------|
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| Hermes | `python scripts/search.py -q "..." -i https://your-instance` |
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| Claude Code | 同上,通过终端工具调用 |
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| Codex (OpenAI) | 同上 |
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| OpenCode | 同上 |
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| Cursor | 同上 |
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| Trae | 同上 |
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设计要点:
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- 零外部依赖(`search.py` 仅标准库)
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- 脚本自注入目录到 `sys.path`,可从任意工作目录运行
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- stdout 纯数据,stderr 纯日志
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- 无 Agent 专属 API 调用,纯 CLI,跨平台可移植
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## 测试
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```bash
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pip install pytest
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pytest -q
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```
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155 tests cover: cache operations, auth resolution, domain filtering, Markdown conversion, search logic, integration flows, and logging configuration.
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155 个测试覆盖:缓存操作、认证解析、域名过滤、Markdown 转换、搜索逻辑、集成流程、日志配置。
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## Project Structure
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## 项目结构
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```
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├── scripts/
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│ ├── search.py # Search with multi-instance failover, cache, batch, domain filter
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│ ├── fetch.py # Web page fetcher with text/markdown extraction
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│ ├── common.py # Shared utilities (auth, retry, charset, logging)
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│ ├── cache.py # SQLite-backed result cache
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│ └── _config.py # Version + User-Agent constants
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├── tests/ # pytest unit + integration tests
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├── .gitea/workflows/ # Gitea Actions CI
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├── SKILL.md # Full skill documentation (agent-facing)
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├── pytest.ini # Test configuration
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│ ├── search.py # 搜索(多实例故障转移/缓存/批量/域名过滤)
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│ ├── fetch.py # 网页抓取(text/markdown 提取)
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│ ├── common.py # 共享工具(认证/重试/字符集/日志)
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│ ├── cache.py # SQLite 结果缓存
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│ └── _config.py # 版本号 + User-Agent
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├── tests/ # pytest 单元+集成测试
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├── SKILL.md # 完整技能文档(Agent 技能描述)
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├── pytest.ini # 测试配置
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└── README.md
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```
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## Defaults
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| Setting | Default | Flag |
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|---------|---------|------|
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| Instance | **required** | `-i` / `SEARXNG_INSTANCE` / config |
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| Safe search | 0 (off) | `-s` |
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| Time range | year | `-t` |
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| Output format | json | `-f` |
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| Engines | google,bing,brave,duckduckgo,startpage,wikipedia,wikidata | `--engines` |
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| Sort | score descending | `--sort-by` |
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| Dedup | on | `--no-dedup` |
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## Cross-Agent Compatibility
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These scripts are agent-agnostic — they work with any AI agent that can invoke terminal commands:
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| Agent | How to invoke |
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|-------|--------------|
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| Hermes | `python scripts/search.py -q "..." -i https://your-instance` |
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| Claude Code | Same — call via terminal tool |
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| Codex (OpenAI) | Same — call via terminal tool |
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| OpenCode | Same — call via terminal tool |
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| Cursor | Same — call via terminal tool |
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| Trae | Same — call via terminal tool |
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| Standalone (human) | Run directly in any terminal |
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Key design decisions for universal compatibility:
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- Zero external dependencies (stdlib-only for `search.py`)
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- Scripts self-inject their directory into `sys.path` — run from any working directory
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- Stdout carries data (JSON/CSV/text), stderr carries progress/warnings
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- Exit codes: 0=success, 1=fatal error, 2=no results/empty
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- NO agent-specific API calls — purely CLI-based, portable across all agent platforms
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## License
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## 许可证
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MIT
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Reference in New Issue
Block a user