ClawHub

Model-Selector

A powerful model routing skill that analyzes query intent and cost-efficiency to select the optimal LLM (Elite/Balanced/Basic) before execution.

Audits

Pass
ClawScanPass

Agentic behavior and permission review.

Static analysisPass

Pattern checks against bundled files.

VirusTotalPass

Multi-engine malware detections and file reputation.

Install

openclaw skills install model-selector

Semantic Model Orchestrator

This skill provides an intelligent middle layer for AI agents to decide which model tier should handle a specific task. By using semantic analysis, it categorized queries into Elite, Balanced, or Basic levels.

Features

  • Semantic Intent Recognition: Uses vector embeddings to detect query complexity.
  • Cost-Efficiency Orchestration: Routes queries to Elite, Balanced, or Basic models.
  • ClawHub Optimized: Default tiers for Claude 3.5 Sonnet, GPT-4o-mini, and DeepSeek.
  • Rolling Adjustment: Built-in logic to refine intent keywords from user history.
  • Multi-Provider Support: Supports OpenAI, Anthropic, Gemini, and DeepSeek.

Model Tiers

  • Elite: anthropic/claude-3-5-sonnet-latest
  • Balanced: openai/gpt-4o-mini
  • Basic: deepseek/deepseek-chat

Usage

Add this skill to your agent's capability list. The agent will call the get_optimal_model tool before making main LLM calls to optimize performance and budget.

Example Tool Call

result = router.analyze_and_route("Design a high-scalable microservices architecture for a fintech app.")
# Returns: {"tier": "ELITE", "suggested_model": "anthropic/claude-3-5-sonnet-latest"}