model-managerFetch and display OpenRouter AI models with pricing and context limits, and configure OpenClaw to use selected models via automatic or fallback settings.
Install via ClawdBot CLI:
clawdbot install notestone/model-managerGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Calls external URL not in known-safe list
https://clawhub.ai/skills/model-benchmarksAudited Apr 17, 2026 · audit v1.0
Generated Mar 20, 2026
A small tech startup uses the skill to route simple debugging and translation tasks to cheaper models like GPT-4o-mini, saving 78% on API costs while maintaining productivity for coding and design work with higher-end models when needed.
An agency leverages the task classification engine to assign translation and summarization jobs to cost-effective models, achieving 65% savings, and uses benchmark integration for creative writing tasks to balance quality and expense.
Researchers apply the skill to optimize model selection for data analysis and complex reasoning tasks, gaining 45% efficiency by using benchmark-driven recommendations to reduce costs without compromising on analytical depth.
The team uses the skill to handle customer Q&A and content summarization with cheaper models, cutting token expenses by up to 96%, while routing technical support queries to more capable models for accurate issue resolution.
A solo developer employs custom routing rules to manage coding and debugging tasks, saving 45-75% on API costs by automatically switching between models based on task complexity and budget limits set in the configuration.
Offer the skill as a premium feature within a larger AI optimization platform, charging monthly fees for advanced analytics, custom routing, and priority support, generating recurring revenue from tech teams and enterprises.
Provide tailored integration and optimization consulting to businesses, helping them set up and fine-tune the skill for maximum cost savings, with revenue from project-based fees and ongoing maintenance contracts.
Partner with AI model providers like OpenRouter to earn commissions on API usage driven by the skill's recommendations, creating passive income streams as users adopt cost-effective routing solutions.
💬 Integration Tip
Install both model-manager and model-benchmarks skills together for data-driven recommendations, and use the 'enable' command with modes like 'cheap' or 'balanced' to quickly optimize routing based on your needs.
Scored Apr 19, 2026
Use CodexBar CLI local cost usage to summarize per-model usage for Codex or Claude, including the current (most recent) model or a full model breakdown. Trigger when asked for model-level usage/cost data from codexbar, or when you need a scriptable per-model summary from codexbar cost JSON.
Gemini CLI for one-shot Q&A, summaries, and generation.
Manages free AI models from OpenRouter for OpenClaw. Automatically ranks models by quality, configures fallbacks for rate-limit handling, and updates opencla...
Manages free AI models from OpenRouter for OpenClaw. Automatically ranks models by quality, configures fallbacks for rate-limit handling, and updates opencla...
Manages free AI models from OpenRouter for OpenClaw. Automatically ranks models by quality, configures fallbacks for rate-limit handling, and updates openclaw.json. Use when the user mentions free AI, OpenRouter, model switching, rate limits, or wants to reduce AI costs.
使用 MiniMax MCP 进行图像理解和分析。触发条件:(1) 用户要求分析图片、理解图像、描述图片内容 (2) 需要识别图片中的物体、文字、场景 (3) 使用 MiniMax 的 understand_image 功能