model-cost-advisorAnalyze any task and recommend the most cost-effective LLM — with live pricing data from 30+ models, tier analysis, token estimation, and projected cost. Per...
Install via ClawdBot CLI:
clawdbot install minirr890112-byte/model-cost-advisorGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Calls external URL not in known-safe list
https://github.com/BerriAI/litellmUses known external API (expected, informational)
raw.githubusercontent.comAudited Apr 27, 2026 · audit v1.0
Generated May 7, 2026
A SaaS company using multiple AI models for customer support and content generation wants to reduce costs. The advisor analyzes each task's complexity and recommends budget models like DeepSeek V3 for simple queries while reserving premium models for complex issues.
A startup using AI assistants for code generation and debugging needs to manage expenses. The skill identifies that most coding tasks fall under Standard or Advanced tiers, recommending Gemini 2.5 Flash or DeepSeek Coder-Plus to save up to 80% compared to Claude Opus.
A large enterprise with marketing, legal, and R&D teams uses AI for content creation, contract analysis, and research. The skill recommends tiered model usage: budget models for drafts, advanced models for legal review, and premium models for research papers, reducing overall AI spend by 50%.
An edtech platform with millions of students uses AI for personalized tutoring. The advisor analyzes tasks like simple Q&A vs. complex problem-solving, recommending low-cost models like GPT-4o-mini for basic queries and advanced models like Claude Sonnet for deeper explanations, keeping costs under $0.01 per session.
A healthcare startup uses AI for patient triage and medical research. The skill ensures sensitive tasks use accurate but cost-effective models, recommending Haiku 3.5 for triage and reserving premium models like Claude Opus for research analysis, balancing cost and accuracy.
Offer a subscription plan where customers pay per token or per task, with discounts for higher tiers. The advisor helps customers optimize their model choice to stay within their budget tier, increasing retention and average revenue per user.
Provide a consulting service that analyzes client's AI usage, recommends model changes, and implements the skill's recommendations. Charge a fixed monthly fee plus a percentage of savings, creating a win-win for clients.
Offer a free API that returns a recommendation report, and a premium API that integrates directly into CI/CD pipelines for automatic model selection. Monetize through rate limits and advanced features like custom tier definitions.
💬 Integration Tip
Run the two scripts (fetch_pricing.py and advise.py) with a task description to get immediate recommendations. For automation, pipe task descriptions into advise.py with --json flag and parse the output in your workflow.
Scored Jul 26, 2026
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