An intelligent AI cost optimization system for tracking token budgets, detecting marginal returns, and generating detailed expense reports.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install mmx-cost-optimizer
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install mmx-cost-optimizer using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Cost Optimizer Pro?
Cost Optimizer Pro is a sophisticated resource management toolkit designed to monitor and reduce the operational expenses of AI agents. It provides a robust framework for tracking token consumption across various dimensions, including input, output, and cache performance. By implementing this skill, developers can ensure their AI workflows remain within financial guardrails while maximizing the utility of every API call. As a core component of the Openclaw Skills library, it offers the transparency needed to scale agentic workflows without the risk of unexpected billing spikes.
The system goes beyond simple counters by employing smart decision algorithms that detect diminishing returns. It analyzes the marginal benefit of continued agent iterations, automatically suggesting when to stop or compress context to save on costs. This makes it an essential tool for high-frequency AI development environments where efficiency and budget control are paramount.
Cost Optimizer Pro Use Cases
- Setting hard financial limits on AI coding sessions to prevent budget overruns.
- Monitoring real-time token usage and cost per model (e.g., Claude 3.5 Sonnet vs. Haiku).
- Identifying and stopping redundant AI loops using marginal utility detection.
- Improving cache hit rates by analyzing context reuse patterns.
- Generating granular cost reports for team-based AI resource accounting.
How Cost Optimizer Pro Works
- The skill initializes a budget tracker using a predefined configuration of cost thresholds and continuation limits.
- It hooks into the AI agent's communication layer to capture usage data (input, output, and cache tokens) for every request.
- A decision algorithm evaluates the current usage against the budget (e.g., 75% warning, 90% nudge, 100% hard stop).
- The system detects diminishing returns by comparing the delta of progress against the tokens consumed in recent iterations.
- Post-session, the skill generates a comprehensive summary of total costs, duration, and optimization suggestions to improve future efficiency within Openclaw Skills.
Cost Optimizer Pro Setup
To integrate this cost optimization skill into your project, follow these configuration steps:
# Initialize the cost-optimizer configuration
# Ensure your environment supports TypeScript/JavaScript hooks
# Set your budget variables in the project root
export AI_COST_LIMIT=10.00
export TOKEN_BUDGET=100000
You must define your BUDGET_CONFIG object to set thresholds for completion, warnings, and hard limits as specified in the skill documentation.
Cost Optimizer Pro Data Schema & Taxonomy
The skill organizes cost and usage data into a structured format for easy reporting and analysis:
| Attribute | Description | Data Type |
|---|---|---|
input_tokens |
Total tokens sent to the LLM | Integer |
output_tokens |
Total tokens generated by the LLM | Integer |
cache_read |
Tokens retrieved from the provider's cache | Integer |
costUSD |
Total calculated cost in USD based on current pricing | Float |
marginal_utility |
Detection of progress per token spent | Boolean/Float |
model_usage |
Break-down of costs per specific AI model | Object |
Cost Optimizer Pro Advanced Features
- Smart Marginal Utility Detection: Automatically stops agents when tokens are being spent without significant output changes.
- Context Compression Hooks: Triggers aggressive context management when potential savings exceed defined thresholds.
- Session Persistence: Saves and restores cost states across multiple session IDs to track long-term project expenses.
- Multi-Model Analytics: Simultaneously tracks usage across different tiers of models to provide a holistic view of the Openclaw Skills performance.
- Real-time Display Formatting: Provides human-readable summaries of duration, lines of code changed, and costs directly in the CLI.
SKILL.md
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