model-router

This skill provides a compact, runnable router that inspects an OpenClaw-style configuration (or a simple models JSON) and selects an appropriate model for an incoming request based on:

• declared model capabilities and an optional cost score
• task complexity (heuristic: short/simple vs long/complex)
• explicit overrides (user or caller hints)

Design principles

• Keep decision logic small and deterministic.
• Default to the cheapest model for general, not-complex tasks.
• Escalate to stronger models when the task appears complex or asks for high-fidelity results.
• Make model metadata explicit (capabilities, cost_score, tags) so the router is transparent and auditable.

What this skill includes

• scripts/router.py — a small CLI and library to pick a model given a task description and a models configuration file.
• examples/models.json — example model configurations (name, provider, cost_score, capabilities).