A financial gatekeeper for AI agents that monitors resource consumption and enforces smart cost control in real-time.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install budget-analyzer-claw
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 budget-analyzer-claw 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 Budget Analyzer Claw?
Budget Analyzer Claw is a dedicated financial monitoring skill designed for the OpenClaw digital employee ecosystem. It acts as a guardian for your AI operations by tracking every token spent across multiple agents, providing a transparent view of infrastructure costs and resource allocation. By integrating this skill into your workflow, you can ensure that your AI projects remain economically viable while preventing the common pitfall of unexpected massive API bills.
This skill is particularly valuable for developers and organizations managing complex multi-agent systems within Openclaw Skills. It synthesizes raw token usage data into actionable financial insights, allowing users to understand which models and agents are driving costs and where optimizations are needed. It bridges the gap between technical execution and financial management.
Budget Analyzer Claw Use Cases
- Tracking daily, weekly, and monthly AI spending for all active sessions.
- Identifying the most expensive digital employees and model usage ratios.
- Setting up automated budget thresholds and proactive warning alerts.
- Analyzing cost trends and generating optimization reports for stakeholders.
- Detecting abnormal API call spikes or runaway agent processes.
How Budget Analyzer Claw Works
- Data Collection: The skill retrieves input/output token counts and model metadata using session status tools.
- Cost Calculation: A Python-based engine processes the raw data against specific billing rules to determine actual spending.
- Budget Comparison: The system compares current costs against predefined limits to assign a status (e.g., Normal, Warning, Over-budget).
- Anomaly Detection: Historical spending patterns are analyzed using Z-score statistics to identify financial outliers.
- Insight Generation: The skill produces structured reports with specific optimization advice based on consumption patterns.
Budget Analyzer Claw Setup
To get started with Budget Analyzer Claw, configure your billing rules and budget limits in the reference directory:
# Define your LLM pricing and billing standards
nano ~/.openclaw/skills/budget-analyzer-claw/references/billing-rules.json
# Set your maximum budget and alert thresholds
nano ~/.openclaw/skills/budget-analyzer-claw/references/budget-config.yaml
Budget Analyzer Claw Data Schema & Taxonomy
The skill organizes its monitoring data and configuration through the following schema:
| File / Resource | Description |
|---|---|
billing-rules.json |
JSON database containing unit prices for LLM tokens, storage, and compute. |
budget-config.yaml |
YAML configuration for setting budget caps and alert triggers (e.g., 80%, 100%). |
optimization-tips.md |
A knowledge base of strategies for model downgrading and cache optimization. |
usage.json |
Temporary structured data used for batch cost calculation. |
Budget Analyzer Claw Advanced Features
- Statistical anomaly detection using Z-score analysis (Critical alerts for Z-score > 3).
- Multi-tier alert system with escalating visual indicators from normal usage to emergency status.
- Granular breakdown of costs per agent, allowing for precise ROI tracking of specific tasks.
- Integration with optimization knowledge bases to provide context-aware saving suggestions.
- Automated session history analysis to estimate costs for complex, long-running agent workflows.
SKILL.md
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