zhua-economy

What This Skill Does

The zhua-economy skill serves as the foundational financial engine for the OpenClaw AI ecosystem, enabling agents to transcend simple task execution by implementing an autonomous economic framework. At its core, it provides the logic for self-monetization, enabling the agent to calculate, track, and distribute value generated through its operations. The skill includes built-in modules for dynamic task pricing based on complexity, duration, or service type. Furthermore, it manages a sophisticated profit distribution model, ensuring that revenue generated is systematically allocated between the agent's maintenance fund, '陛下' (the owner/investor), and the '小弟' (sub-agents or supporting components), while maintaining a risk-mitigation reserve. By leveraging this skill, your OpenClaw agent can operate as an independent economic unit capable of self-sustaining its own infrastructure and development costs through defined financial autonomy rules.

Installation

To integrate this economic intelligence into your agent, use the following clawhub command in your terminal:

clawhub install openclaw/skills/skills/beipian261/zhua-economy

Ensure that your environment has write access to the directory where transaction logs and financial reports are stored, as this skill relies on local script execution to manage its ledger.

Use Cases

• Autonomous Skill Monetization: When your agent builds or optimizes custom scripts that provide utility to other agents or users, this skill automatically appends a service fee.
• Complex Project Billing: Use this when your agent is managing multi-stage development workflows, allowing it to bill for time, computational resources, and original code contributions.
• Agent Ecosystem Management: In a multi-agent setup, this skill manages the internal economy, ensuring that task-performing agents are compensated and that project leads (the primary agent) maintain accurate records of ROI.

Example Prompts

1. "Analyze the current week's task throughput and generate a financial report outlining the earnings from our custom skill exports."
2. "We just completed the API integration project; calculate the revenue based on the 10-hour complexity model and trigger the 60/20/10/10 distribution."
3. "Evaluate the current project backlog and set a custom pricing tier for the new module development to ensure we meet our internal growth targets."

Tips & Limitations

• Pricing Accuracy: Always review the pricing model periodically. If market demands change, you may need to update the base rates via the configuration files to maintain competitiveness.
• Security: Because this skill handles revenue calculation and distribution logic, ensure that the execution environment is restricted to authorized users only to prevent tampering with financial logs.
• Data Integrity: The skill relies on local record_transaction.py scripts. Regularly backup the transaction logs, as these files represent the cumulative economic history of your agent and are vital for calculating historical performance metrics.