A local-first accounting and expense tracking tool designed for AI agents to log purchases, manage budgets, and maintain financial audit trails.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install agentledger
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 agentledger 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 AgentLedger?
AgentLedger is a robust accounting skill specifically engineered for AI agents and developers to maintain a precise financial record of all automated purchases. By integrating this into your Openclaw Skills library, agents can autonomously log API costs, tool subscriptions, and infrastructure expenses as they occur. It prioritizes privacy by keeping all data local and provides a bridge between autonomous actions and human-readable financial oversight.
The skill enables agents to go beyond simple execution by adding financial accountability to their workflows. Whether it is tracking GPT-4 API credits or managing marketing SaaS subscriptions, AgentLedger ensures that every dollar spent is categorized, contextualized, and reportable through natural language queries or structured data exports.
AgentLedger Use Cases
- Tracking API usage costs and SaaS subscription renewals for autonomous agents.
- Maintaining a financial audit trail for multi-agent systems performing procurement tasks.
- Generating monthly spending reports for stakeholder review of AI operational costs.
- Setting and enforcing budget limits to prevent cost overruns during long-running tasks.
- Importing transaction history from Privacy.com cards for unified financial management.
How AgentLedger Works
- The agent or user initializes the ledger system locally to create the necessary JSON storage structure.
- Transactions are logged immediately following a purchase via CLI or JavaScript API, including metadata like vendor, category, and receipt URLs.
- The system processes the input, validates the data, and appends it to the local transaction ledger while creating an automatic backup for data safety.
- Users or agents query the ledger using natural language or structured commands to check current spending against predefined budgets.
- Detailed financial reports are generated in CSV or JSON format for external auditing or data visualization.
AgentLedger Setup
Ensure you have Node.js installed on your system to utilize these Openclaw Skills. Initialize the ledger with the following command:
# Initialize the local database
node src/cli.js init
To log your first transaction manually via CLI:
node src/cli.js log 29.99 "OpenAI" "API credits" --category="API/Services"
AgentLedger Data Schema & Taxonomy
AgentLedger organizes data within the workspace/ledger/ directory using specialized JSON files to ensure portability and human-readability.
| File | Description |
|---|---|
| transactions.json | Chronological record of all logged expenses and metadata. |
| accounts.json | Definitions for different payment methods and card aliases. |
| budgets.json | User-defined spending limits categorized by type and period. |
| settings.json | Configuration for currency, local storage, and export preferences. |
AgentLedger Advanced Features
- Natural language query support for intuitive financial analysis (e.g., "How much did I spend on APIs this month?").
- Automatic Privacy.com transaction import for seamless virtual card management.
- Multi-currency support for global operations and diverse vendor requirements.
- Robust error recovery system that automatically restores data from .backup files if corruption is detected.
- Local-first architecture ensuring no sensitive financial data ever leaves your secure workspace environment.
SKILL.md
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