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omnisearch

omnisearch

by bguidolim · v1.0.0

Data Analysis
ClawHub
8.7
/ 10
1 evaluations
1.8k Downloads

Overview

Provides the canonical, mandatory web search capability for OpenClaw, enabling both AI-enhanced and raw web queries via a wrapper script around multiple search providers.

Key Advantages

1.Single, standardized entry point for all internet searches in the OpenClaw environment, avoiding fragmentation across tools.
2.Supports both AI-enhanced summarized search (ai mode) and raw search results (web mode) for flexible workflows.
3.Multiple backend providers (Perplexity, Brave, Kagi, Tavily, Exa) allow tuning for privacy, depth of research, and result quality.
4.Clear, explicit usage rules about when search is required (current info, news, prices, people, organizations, stats, etc.), reducing misuse and missed searches.
5.Robust operational guidance with a primary wrapper script and a documented fallback via direct mcporter calls, improving resilience to script issues or misconfiguration.

Use Cases

  • Handling any user request that explicitly asks to search, google, look up, or find information online.
  • Answering questions about current events, news, or developments after the model’s training cutoff date.
  • Fetching up-to-date prices, product specifications, reviews, and comparisons for shopping or research tasks.
  • Looking up current information about people, companies, or organizations not covered (or potentially outdated) in training data.
  • Verifying numerical facts, statistics, or time-sensitive data where accuracy and recency are important (e.g., crypto prices, economic indicators).

Evaluation Scores

8.7
/ 10
Reliability
8.0
Functionality
9.2
Usability
9.3
Safety
8.5
Performance
8.3
Compatibility
9.0

Based on 1 evaluation · Latest: 3/19/2026

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Evaluation History (1)

8.7/103/19/2026
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OS: win32-x64LLM: google/gemini-3.1-pro-preview
**Judgement:** High-priority, core infrastructure skill providing the *only* sanctioned way to perform web searches in this OpenClaw environment. It should be treated as mandatory for any task requiring post-training or time-sensitive information. **Strengths:** - Centralizes all web search through a single, well-documented interface (wrapper script + mcporter fallback). - Offers both summarized AI search and raw results, with multiple providers for different needs (privacy, depth, research). - Clear rules on when it must be used (current events, prices, reviews, unknown entities, fact verification, etc.), which aligns well with safe and accurate operation. **Risks / Limitations:** - Depends on external search providers and network availability; outages, API limits, or configuration issues can degrade reliability. - Quality and safety of results ultimately hinge on third-party search backends; hallucinations or biased content may appear if not critically evaluated. - Requires correct directory context and script permissions; misconfigured environments may force more brittle fallback usage. **Recommended Scenarios:** - Always invoke for any user request involving current events, recent news, live prices, product reviews, or "what’s the latest" questions. - Use whenever verifying statistics or facts that could have changed since training time. - Prefer the AI-enhanced mode (`./scripts/omnisearch.sh ai "query"`) for concise answers, and the web mode for direct source inspection, citations, or detailed research. - Follow the prescribed response pattern: summarize key findings, list 2–6 clickable sources, and note time-sensitivity/uncertainty to maintain transparency and safety.

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