Smart Model Selector

智能模型路由系统，根据任务自动选择最优 Qwen 模型（qwen3.5-plus/qwen-max/qwen-coder-plus），越用越聪明，节省成本

This package appears to be a local-only model-routing helper that records task text and ratings into a local SQLite DB and injects model recommendations at session start. Before installing you should: 1) review the full src/model_selector.py (the provided file was truncated in the submission) to confirm there are no hidden network calls or data exfiltration paths; 2) confirm the repository/source URL and author identity if provenance matters; 3) be aware the skill stores task text locally (data/model_selection.db) — delete that file if you want to remove history; 4) note the hook injects context that may influence which model/endpoint the agent uses (ensure your agent/platform enforces model selection safely and that you understand any cost implications). If you need higher assurance, ask the author for the full source or an official repo link and re-run the review.

Type: OpenClaw Skill Name: smart-model-selector Version: 1.0.0 The smart-model-selector skill is a legitimate model routing utility designed to optimize costs by selecting the most appropriate Qwen model based on task complexity. The core logic in `src/model_selector.py` uses a local SQLite database to store task history and user ratings for performance tracking, and the hook in `hooks/smart_model_selector.py` correctly implements the OpenClaw event system. There is no evidence of data exfiltration, remote code execution, or malicious prompt injection; all data remains within the local workspace as described in the documentation.