A specialized AI agent skill designed to automate the triple-check compliance process for customer company background investigations.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install customer-background-check
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 customer-background-check 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 Customer Background Check?
The Customer Background Check skill is a robust compliance tool designed for AI agents to perform the Triple Check verification process. It automates the searching of customer company names against OFAC sanctions lists and cross-references registered addresses with the BIS/ECFR Supplement No. 4 to Part 744. By streamlining these technical searches, the skill helps organizations mitigate legal risks and maintain trade compliance. This skill is a powerful addition for users looking to expand their Openclaw Skills for enterprise-level due diligence.
The skill excels at refining raw data into searchable keywords, removing legal entity suffixes, and generating multiple address variations to ensure maximum search coverage. Beyond external searches, it also automates internal coordination by drafting precise inquiry messages for designated trade compliance personnel, ensuring that export data and sensitive country risks are properly addressed.
Customer Background Check Use Cases
- Performing mandatory sanctions screening on new customer company names via the OFAC portal.
- Verifying if a client's registered address is flagged in the BIS/ECFR Supplement No. 4 blacklists.
- Automating the drafting of compliance inquiry messages to internal business departments (e.g., Dora or Shellen).
- Conducting high-volume preliminary background checks for trade compliance teams using Openclaw Skills.
How Customer Background Check Works
- Input Normalization: The skill extracts the company name and address, stripping suffixes like LLC, Ltd, or Inc to create high-probability search keywords.
- OFAC Investigation: The agent navigates to the OFAC sanctions search site and performs a lookup, recording exact or potential matches with their associated scores.
- BIS/ECFR Address Check: The agent accesses the ECFR database to perform a text-based search (similar to Ctrl+F) for the registered address variations.
- Coordination Message Generation: Based on the check results, the skill drafts a localized inquiry message to commerce colleagues to verify export data.
- Structured Reporting: The agent compiles all findings into a standardized markdown report, categorizing results as No Match, Potential Match, or Manual Review Required.
Customer Background Check Setup
To integrate this skill into your workflow, ensure your AI agent has access to browser-based search tools. Define your primary compliance contacts in the configuration to personalize automated messaging. Add the logic to your local directory of Openclaw Skills.
# Example of initiating a background check via CLI
openclaw run customer-background-check --company "Global Tech Solutions" --address "123 Business Way, Singapore"
Customer Background Check Data Schema & Taxonomy
The skill organizes compliance data into a structured format for easy auditing:
| Data Category | Fields Included |
|---|---|
| Entity Info | Full legal name, extracted keywords, and registered address |
| OFAC Metadata | Search status, match scores, program names, and candidate lists |
| BIS/ECFR Results | Hit status in Supplement No. 4 and associated entity context |
| Internal Comms | Contact person (Dora/Shellen) and generated message draft |
| Final Conclusion | Risk assessment status (Pass/Flagged/Incomplete) |
Customer Background Check Advanced Features
- Intelligent keyword variation: Automatically generates multiple search strings for addresses, such as Street+City or Zip+City combinations.
- Semi-automated browser execution: Prefers real-time browser interaction for searching dynamic forms on official government portals.
- Robust fallback mechanism: Switches to manual instruction mode if browser automation is blocked or the target websites are unreachable.
- Multilingual messaging: Supports both English and Chinese message drafting for internal trade compliance coordination within Openclaw Skills.
SKILL.md
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