Model Router

Model Router - Parallel multi-LLM invocation with result merging. Use when: need better answers, compare model outputs, or get best result from multiple LLMs...

This package appears to implement the stated feature (parallel calls and merge) but the documentation and code are inconsistent and incomplete. Before installing or using it with real API keys: - Run it in a sandbox without any provider credentials to verify behavior (the current code simulates API calls). - Inspect future versions for added network requests — the file already lists many provider endpoints, and a later change could start making real HTTP calls. - Don't hand over API keys until you confirm how the module expects them (ModelRouter accepts an api_keys dict; SKILL.md doesn't document env vars or config paths). Prefer passing keys explicitly at runtime and store them in secure secrets storage, not in plaintext files. - Expect to fix small documentation mismatches (Router vs ModelRouter) before depending on it in production. If you need a definitive safety judgement (benign vs malicious), ask the author for clarification about credential handling and intended networking behavior or request a version that explicitly performs authenticated calls with clear credential configuration.

Type: OpenClaw Skill Name: model-router-waai Version: 1.1.0 The skill is a utility for parallel LLM orchestration and result synthesis. The implementation in `model_router.py` is a functional template that uses mock methods for API calls and contains no evidence of data exfiltration, malicious execution, or persistence mechanisms. The documentation in `SKILL.md` is consistent with the code's logic and does not contain any prompt injection or deceptive instructions.