A technical cost analysis tool for OpenClaw that optimizes token consumption and LLM spending through detailed usage reports.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install openclaw-cost-analyzer
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 openclaw-cost-analyzer 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 OpenClaw Cost Optimizer?
The OpenClaw Cost Optimizer is a specialized utility designed for developers using Openclaw Skills to monitor and reduce API expenditures. It processes session logs to provide a transparent view of input and output tokens across different models like Claude Opus and Sonnet. By identifying inefficient workflows, it helps users maintain sustainable AI operations without sacrificing performance.
This tool is built with a privacy-first approach, operating entirely on local Node.js scripts without external network dependencies. It serves as a financial audit layer for your AI agent workspace, ensuring that every token spent contributes to meaningful progress.
OpenClaw Cost Optimizer Use Cases
- Identifying high-cost AI sessions exceeding 50k tokens to prevent budget overruns.
- Auditing frequent cron jobs to optimize automated task scheduling and reduce costs.
- Analyzing model distribution to suggest cheaper alternatives like DeepSeek for simple tasks.
- Detecting oversized context windows that inflate token counts unnecessarily.
- Projecting monthly savings based on model downgrade recommendations.
How OpenClaw Cost Optimizer Works
- The tool scans local session log files stored in the OpenClaw workspace directory (~/.openclaw/agents/main/agent/sessions/*.jsonl).
- It extracts metadata including model IDs, input/output token counts, and session identifiers.
- A logic engine applies current pricing models to calculate exact costs per session and model.
- It evaluates usage patterns against pre-defined thresholds for long conversations or frequent tasks.
- The skill generates a comprehensive Markdown report with actionable optimization steps and projected savings.
OpenClaw Cost Optimizer Setup
Navigate to your skill directory and run the analyzer script directly with Node.js:
# Run a full analysis for the last 7 days
node scripts/cost_analyzer.js analyze
# Run analysis for a specific timeframe (e.g., 30 days)
node scripts/cost_analyzer.js analyze 30
# Get a quick summary of today's costs
node scripts/cost_analyzer.js quick
OpenClaw Cost Optimizer Data Schema & Taxonomy
The skill organizes analysis data by parsing session JSONL files and generating a report with the following structure:
| Attribute | Description | Data Type |
|---|---|---|
| inputTokens | Total tokens sent in the request | Integer |
| outputTokens | Total tokens received in the response | Integer |
| model | The specific AI model identifier used | String |
| sessionId | Unique ID for the specific agent interaction | String |
| cost | Calculated USD based on provider pricing | Float |
OpenClaw Cost Optimizer Advanced Features
- Automated daily cost reporting via integration with Openclaw Skills cron system.
- Custom threshold configuration for cost alerts and high-consumption session detection.
- Multi-model pricing support including local Ollama models and cloud providers.
- Detailed optimization strategies for context pruning and model fallback routing.
- Seamless integration with token-optimizer for automated context management.
SKILL.md
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