openclaw-search

What This Skill Does

OpenClaw Search is a high-performance, multi-source retrieval engine designed for autonomous agents. By unifying academic databases, structured web indexes, and Tavily search signals into a single API endpoint, it enables agents to move beyond simple keyword lookups. The engine features a sophisticated two-phase architecture: Phase 1 triggers parallel discovery across specialized search streams, while Phase 2 utilizes AIsa Explain to perform meta-analysis. This ensures that every response provided to the agent includes a confidence score (0-100) and a synthesized summary, minimizing hallucination risks and maximizing factual accuracy.

Installation

To integrate this skill into your OpenClaw environment, execute the following command in your terminal:

clawhub install openclaw/skills/skills/aisadocs/openclaw-aisa-search-web-academic-tavily

Once installed, ensure your environment variables are configured with your authentication key: export AISA_API_KEY="your-key"

Use Cases

• Research Assistants: Automate the gathering of peer-reviewed literature for complex topics, saving hours of manual database querying.
• Market Analysis: Aggregate news and financial data from disparate sources to build reports on market trends, competitor activities, or funding rounds.
• Fact Verification: Use the confidence scoring mechanism to cross-reference claims against reputable academic and web-based data points.
• Synthesis Projects: Combine technical documentation with academic theory to generate comprehensive technical deep-dives or whitepapers.

Example Prompts

1. "Perform a deep dive on transformer architectures, comparing 2024 academic findings with current industry implementations. Provide a confidence score for your synthesis."
2. "Search for the latest public announcements regarding quantum computing breakthroughs from Q1 2025 and summarize the consensus among experts."
3. "Find and compare reviews for open-source RAG frameworks. Filter for documentation quality and community activity."

Tips & Limitations

• Confidence Scores: Always check the confidence score. A score below 60 suggests the source material is sparse or conflicting; in such cases, consider broadening your search parameters.
• API Limits: This skill consumes external API credits. For large-scale batch research, monitor your usage via the OpenClaw dashboard to prevent service interruptions.
• Scope: While powerful, the skill performs best when given specific, multi-faceted queries rather than generic, single-word requests.