Model Router

Intelligent cost-aware model routing that classifies task complexity and selects the optimal AI model. Automatically routes simple tasks to cheap models and...

This skill appears to be what it claims — a classifier + router that chooses cheaper or more capable models — but there are a few things to check before installing: - Provider access: The SKILL.md references OpenRouter and many provider model IDs, but the skill declares no required API keys. Confirm who supplies model credentials in your environment (the platform, the user, or the skill). If the platform will route model calls on your behalf, verify its access controls; if the skill expects your keys, ask the author to declare them explicitly. - Source & transparency: There's no source repository or homepage listed. Prefer skills with auditable source code or at least a maintainer contact, especially for anything that will autonomously route requests across external models. - Sensitive data routing: This router will send user tasks to external models. Consider restricting it or not using it for confidential or regulated data unless you know which provider and what policies apply. Cheap/free models may have different privacy/retention rules. - Pricing accuracy & maintenance: Pricing and model availability change quickly. Treat the included pricing/model list as advisory and test in a safe environment; ask for a way to pin or update provider mappings. - Test in non-production: Try it in a sandbox with low-risk workloads to confirm routing behavior, rate limits, and that the platform enforces provider credentials as you expect. If you want a higher-confidence assessment, provide the full SKILL.md (untruncated), the platform's model-credential model (who holds API keys), or a source repo/homepage for the skill so we can inspect whether it ever reads environment variables or attempts to fetch external code.

Type: OpenClaw Skill Name: openclaw-model-router Version: 0.1.0 The skill bundle provides instructions for an OpenClaw agent to intelligently route tasks to different AI models based on complexity and cost, using the `sessions_spawn` command. All instructions in `SKILL.md` are consistent with this stated purpose, detailing model selection, optimization modes, and escalation patterns. There is no evidence of prompt injection designed to subvert the agent's core function, exfiltrate data, establish persistence, execute arbitrary malicious commands, or engage in any other harmful behavior. The use of `sessions_spawn` is for legitimate task execution within the agent's expected capabilities, not for malicious self-exploitation.