openclaw-smart-routerAutomatically routes AI requests to cost-optimal models based on task complexity and budget, saving 30-50% on model expenses with adaptive learning.
Install via ClawdBot CLI:
clawdbot install atlaspa/openclaw-smart-routerGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Sends data to undocumented external endpoint (potential exfiltration)
POST → http://localhost:9093/api/x402/verifyPotentially destructive shell commands in tool definitions
exec(Calls external URL not in known-safe list
https://github.com/AtlasPA/openclaw-smart-routerAI Analysis
The skill sends data to an undocumented local endpoint (localhost:9093) for payment verification, which could be a legitimate internal service but is not explained. It also executes shell commands and calls an external GitHub URL, increasing the attack surface. While the core functionality appears legitimate, these undocumented external interactions warrant caution.
Generated Mar 1, 2026
A development team uses the router to automatically select cheaper models for simple tasks like code formatting and debugging, while reserving expensive models for complex architectural design, reducing overall AI costs by 30-50% without manual intervention.
A customer support department integrates the router to handle high-volume inquiries, routing basic FAQs to cost-effective models like GPT-3.5 and escalating complex issues to advanced models, optimizing response quality and budget.
An agency leverages the router to analyze content complexity, using cheaper models for simple edits and summaries, and premium models for in-depth research and creative writing, maximizing efficiency and cost savings.
An online learning platform employs the router to tailor AI assistance based on student queries, using basic models for straightforward explanations and advanced models for complex problem-solving, enhancing learning outcomes while controlling expenses.
A research firm uses the router to automate data synthesis, routing routine data processing to economical models and reserving expert models for novel analysis, improving productivity and reducing operational costs.
Offers a free tier with limited daily routing decisions to attract users, then up sells to a Pro tier at 0.5 USDT/month for unlimited usage and advanced features, generating recurring revenue from cost-conscious teams and agents.
Partners with enterprises to integrate the router into their AI workflows, charging a percentage of the cost savings achieved, aligning incentives and providing value through demonstrable ROI on model expenditures.
Monetizes autonomous AI agents that use the router, with agents paying 0.5 USDT/month via x402 payments if the Pro tier saves them more than that amount, creating a self-sustaining ecosystem of automated transactions.
💬 Integration Tip
Install with a single command and use built-in stats tracking to monitor savings; combine with memory and context optimizer skills for maximum cost reduction.
Scored May 28, 2026
Audited Apr 17, 2026 · audit v1.0
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