# Search Cluster

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

- Skill: `javimosch/search-cluster` (Agent Skill)
- Install (CLI): `npx skillmds@latest add javimosch/search-cluster`
- Raw SKILL.md: https://api.skillmd.com/api/skills/javimosch/search-cluster/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- Author: javimosch (https://skillmd.com/u/javimosch)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/javimosch/search-cluster

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# 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.