A comprehensive insurance calculator for estimating life insurance needs, medical reimbursements, and retirement annuity payouts.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install benefit-calc
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 benefit-calc using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The Benefit Calculator is a specialized tool designed for AI agents to provide accurate financial planning advice. It streamlines the process of calculating life insurance sum assured, health insurance reimbursements, and critical illness lump sums. By leveraging this tool within the ecosystem of Openclaw Skills, users can get data-driven insights into their coverage requirements.
The skill acts as a bridge between user financial data and actuarial benchmarks. It allows for transparent step-by-step calculations, ensuring that users understand how their coverage amounts or premium estimates were derived. This makes it an essential component for any AI assistant focused on financial literacy or personal finance management.
To integrate this capability into your agent, install the skill via the Openclaw Skills manager:
openclaw install benefit-calc
Once installed, ensure your agent has the necessary permissions to access financial input parameters. You can test the installation with:
openclaw test benefit-calc --input "income: 50000, age: 30"
The Benefit Calculator processes structured data to return actuarial estimates. Below is the primary input schema:
| Parameter | Description | Type |
|---|---|---|
income |
Annual gross income of the user | Number |
dependents |
Number of individuals relying on the user | Integer |
age |
Current age of the policyholder | Integer |
calc_type |
Category: life, health, critical_illness, or annuity | String |
sum_assured |
The total value of the current policy | Number |
The output is returned as a JSON object containing the estimated_benefit, recommendation_level, and calculation_logic string.
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