ddgs-searchFree multi-engine web search via ddgs CLI (DuckDuckGo, Google, Bing, Brave, Yandex, Yahoo, Wikipedia) + arXiv API search. No API keys required. Use when user...
Install via ClawdBot CLI:
clawdbot install camopel/ddgs-searchGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Calls external URL not in known-safe list
https://github.com/camopel/openclawUses known external API (expected, informational)
arxiv.orgAudited Apr 16, 2026 · audit v1.0
Generated Mar 20, 2026
Students and researchers can use this skill to search for academic papers via arXiv and web sources simultaneously, enabling efficient literature reviews and data gathering without subscription costs. It's ideal for universities and research institutions needing a free, multi-engine search tool.
Content creators and marketers can perform web searches across multiple engines to analyze trends, gather information for articles, and monitor SEO performance. The lightweight design ensures quick results for real-time content strategy adjustments.
AI developers can integrate this skill as a search backend for chatbots or agents, leveraging its web-search-plus compatibility for seamless migration. It supports testing across different search engines to improve response accuracy and reduce dependency on paid APIs.
Small businesses and startups can use the skill to conduct market research, competitor analysis, and industry news aggregation from various search engines. The free nature eliminates budget constraints for data collection and decision-making processes.
Teachers and students in K-12 or higher education can employ this skill for project-based learning, allowing safe web searches and academic paper discovery without financial barriers. It encourages exploration across diverse information sources in classroom settings.
Offer the core skill for free while providing paid premium support, customization, or advanced features like enhanced search filters or analytics dashboards. This model attracts users with no upfront cost and generates revenue from enterprise clients needing dedicated assistance.
Monetize by offering a managed API version with higher rate limits, reliability guarantees, and additional search engines for businesses that require scalable solutions. This targets companies integrating search capabilities into their products without managing infrastructure.
Sell site licenses or bundled packages to educational institutions and research organizations, including training workshops and curriculum integration. This leverages the skill's academic features like arXiv search to address specific needs in learning environments.
💬 Integration Tip
Set the WEB_SEARCH_PLUS_PATH environment variable to point to the search.py script for easy drop-in replacement in existing AI agent setups.
Scored Apr 19, 2026
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