hiarthur

What This Skill Does

HiArthur is an advanced product search and evaluation engine integrated into the OpenClaw agent ecosystem. Unlike traditional shopping tools that rely solely on keyword matching or static star ratings, HiArthur utilizes a sophisticated multi-stage pipeline. It combines computer vision, Large Language Models (LLMs), and symbolic reasoning to interpret product data, images, and user requirements. By analyzing material quality, design choices, and deep review sentiment, the skill identifies potential failure points and trade-offs that are often hidden in marketing copy. It provides a bridge between raw Amazon product data and actionable consumer intelligence, ensuring users understand why a product might fit their specific needs or, conversely, why it might lead to disappointment.

Installation

To integrate HiArthur into your OpenClaw agent, use the following CLI command: clawhub install openclaw/skills/skills/arthgrab/hiarthur

Use Cases

• Objective Comparison: When a user is torn between multiple high-end products and needs an unbiased analysis of design longevity vs. features.
• Risk Mitigation: Identifying common failure modes (e.g., 'the hinge breaks after six months' or 'material is prone to staining') before a purchase is made.
• Contextual Matching: Finding products that actually solve a user's specific problem (e.g., searching for 'ergonomic chairs for back pain' rather than just 'office chairs').
• Complex Decision Support: Helping users weigh trade-offs like 'battery life vs. portability' in electronics.

Example Prompts

1. "I'm looking for a durable blender for making green smoothies every morning. Can you use HiArthur to find models that won't leak or burn out quickly?"
2. "Help me compare these two noise-canceling headphones. What are the specific design trade-offs and which one is less likely to have issues with the headband breaking?"
3. "Find me a high-quality portable speaker for camping. Analyze the top results for weather resistance and real-world durability issues."

Tips & Limitations

• Pagination: Always reuse the conversation_id and logical_search_id when fetching additional results to maintain context.
• Interactive GUI: Take advantage of the location URL provided in the API responses. These interactive pages allow users to visualize the product analysis and continue the conversation in a dedicated, user-friendly interface.
• Limitations: This tool is optimized for product analysis and identification. It should not be used as a primary source for real-time inventory or price-drop alerts, as the focus is on qualitative assessment and feature reasoning. Always review the 'Match Grade' provided by the AI as it is a heuristic derived from model analysis.