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search-cluster

Aggregated search aggregator using Google CSE, GNews RSS, Wikipedia, Reddit, and Scrapling.

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安装方式

直接复制以下提示词,发送给你的 AI 助手即可完成安装。

请先检查是否已安装 SkillHub 商店,若未安装,请根据 https://skillhub-1388575217.cos.ap-guangzhou.myqcloud.com/install/skillhub.md 安装 SkillHub 商店,然后安装 search-cluster 技能。 若已安装,则直接安装 search-cluster 技能。

Overview

Skill Key
1999azzar/search-cluster
Author
1999azzar
Source Repo
openclaw/skills
Version
-
Source Path
skills/1999azzar/search-cluster
Latest Commit SHA
71a3560e5898cf4db87eaff24434d537358ab136

Extracted Content

SKILL.md excerpt

# Search Cluster (Industrial Standard v3.1)

A multi-provider search aggregator designed for high-availability and security.

## Installation
The scrapling provider requires a dedicated virtual environment.
1. Create a venv: python3 -m venv venv/scrapling
2. Install scrapling: venv/scrapling/bin/pip install scrapling
3. Provide the path to the venv binary in SCRAPLING_PYTHON_PATH.

## Security Posture
- Subprocess Isolation: Query inputs are passed as arguments to stealth_fetch.py.
- Strict TLS: Mandatory SSL verification on all providers.
- Sanitization: Integrated native internal scrubber (Path Neutral).

## Requirements and Environment
Declare these variables in your environment or vault:

| Variable | Requirement | Description |
|---|---|---|
| GOOGLE_API_KEY | Optional | API Key for Google Custom Search. |
| GOOGLE_CSE_ID | Optional | Search Engine ID for Google CSE. |
| SCRAPLING_PYTHON_PATH | Optional | Path to the scrapling venv python binary. |
| REDIS_HOST | Optional | Host for result caching. |
| REDIS_PORT | Optional | Port for result caching (Default: 6379). |
| SEARCH_USER_AGENT | Optional | Custom User-Agent string. |

## Providers
- google: Official Google Custom Search.
- wiki: Wikipedia OpenSearch API.
- reddit: Reddit JSON search API.
- gnews: Google News RSS aggregator.
- scrapling: Headless stealth scraping (via DuckDuckGo).

## Included Scripts
- scripts/search-cluster.py: Main entry point.
- scripts/stealth_fetch.py: Scrapling fetcher (REQUIRED for scrapling provider).

## Workflow
1. Execute: scripts/search-cluster.py all "<query>"
2. Output is structured JSON with source, title, link, and sanitized snippet.

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