An AI-powered reimbursement assistant that automates invoice recognition, expense classification, and corporate approval workflows.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install travel-expense
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 travel-expense using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The fb-expense-skill is a sophisticated AI-driven tool designed to simplify the complex process of corporate expense management. By utilizing advanced OCR and natural language processing, it allows users to capture expenses through photos, voice commands, or manual entry. This tool is a standout among Openclaw Skills because it does not just record data; it validates invoice authenticity, ensures policy compliance, and intelligently links expenses to travel orders, significantly reducing the administrative burden on employees and finance departments alike.
To integrate this capability into your workflow, ensure your environment supports Python 3. You can then invoke the skill through your AI agent interface.
# Initializing the expense assistant
openclaw install fb-expense-skill
Users should ensure their grade and department settings are configured in the system to enable accurate policy enforcement and standard Openclaw Skills integration.
The skill organizes information into three primary taxonomies:
| Field | Type | Description |
|---|---|---|
| expense_type | string | Categorization (e.g., TRANSPORT, HOTEL, MEAL) |
| amount | float | Numerical value in CNY (default) |
| invoice_info | object | Contains invoice numbers, seller names, and tax amounts |
| Field | Type | Description |
|---|---|---|
| report_id | string | Unique identifier for the reimbursement batch |
| approval_flow | array | List of steps and approvers assigned to the report |
| compliance_status | object | Boolean flags for policy adherence and fraud detection |
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