An end-to-end operational framework for assessing customer creditworthiness, managing trade risk, and executing systematic debt collection protocols.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install afrexai-credit-control
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install afrexai-credit-control using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The Credit Control & Collections Framework is a specialized operational asset designed for Openclaw Skills to transform how businesses handle trade credit. It provides a data-driven approach to risk, moving beyond guesswork to use weighted scoring matrices and mathematical formulas for setting credit limits. By integrating this into your AI agent workflows, you can automate the delicate balance between sales growth and financial security.
This framework bridges the gap between finance and operations, offering clear escalation sequences and communication templates. Whether you are dealing with a high-risk construction firm or a stable utility provider, the Openclaw Skills framework ensures your credit terms are optimized for cash flow and your collection efforts are professional, persistent, and legally sound.
To deploy this framework within your Openclaw Skills environment, follow these steps:
Environment Setup: Ensure your AI agent has access to your accounting data or ERP exports.
Configuration:
# Initialize the credit control environment
openclaw install credit-control-framework
# Configure industry-specific multipliers
openclaw config set INDUSTRY_TYPE="Manufacturing"
The framework organizes financial data into three primary taxonomies:
| Component | Description |
|---|---|
| Factor Weights | Distribution of importance across revenue, history, and risk |
| Tier Mapping | Links scores (0-100) to specific payment terms and limits |
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