Overview
- Skill Key
- 1999azzar/search-cluster
- Author
- 1999azzar
- Source Repo
- openclaw/skills
- Version
- -
- Source Path
- skills/1999azzar/search-cluster
- Latest Commit SHA
- 71a3560e5898cf4db87eaff24434d537358ab136
Aggregated search aggregator using Google CSE, GNews RSS, Wikipedia, Reddit, and Scrapling.
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0
Status
ACTIVE
Visibility
PUBLIC
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。
# 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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