agent-cost-model
OfficialPredict and optimize AI agent costs end-to-end
Authorm2ai-portfolio
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill helps organizations estimate the costs of their AI agent workflows, enabling budgeting, pricing decisions, and cost-aware design.
Core Features & Use Cases
- Per-task cost modeling: calculate costs for each step in an agent workflow, including input/output tokens and caching considerations.
- Burn rate forecasting: project daily, monthly, and annual spend across workloads and concurrency levels.
- Model-routing optimization: identify opportunities to route tasks to cheaper models while maintaining quality, with break-even analysis.
- Use Case: compare a multi-model workflow against a single-model baseline to highlight cost savings and performance trade-offs.
Quick Start
Provide your agent workflow steps, expected volumes, and model preferences to generate a cost model.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: agent-cost-model Download link: https://github.com/m2ai-portfolio/m2ai-skills-pack/archive/main.zip#agent-cost-model Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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