Sugar Finance Bot

Calculates total landed cost and unit economics for food import/export shipments based on detailed shipment cost data.

Security Scan

The skill's declared purpose (calculating landed cost) matches the code and runtime instructions; it has no unexpected networking, credential requests, or install steps.

Purpose & Capability

Name, description, SKILL.md, and the provided tool.py functions all focus on computing landed cost and unit economics. There are no unrelated environment variables, binaries, or external services requested.

Instruction Scope

SKILL.md limits the agent to two tools (get_shipment_record and calculate_landed_cost). However, get_shipment_record in tool.py returns a hard-coded sample record (it does not actually fetch data based on the shipment_id). This is a functional limitation (mock data), not a security concern, but you should be aware it won't access your systems as-is.

Install Mechanism

No install spec and no downloads. The skill is instruction-only with a small local code file; nothing will be written to disk beyond the skill files themselves.

Credentials

The skill requests no environment variables, credentials, or config paths. There are no indications of secret access or exfiltration requirements.

Persistence & Privilege

always is false and the skill does not request elevated persistence or to modify other skills or system settings. Autonomous invocation is allowed (platform default) but is not combined with other risk factors.

Assessment

This skill appears coherent and low-risk: it computes landed cost from structured shipment data and uses no external network, credentials, or installs. Two practical notes before you deploy it in production: (1) get_shipment_record is a hard-coded/mock implementation — if you want real data, you'll need to modify it to fetch from your database or API, and you should never hard-code credentials into the skill; (2) the code uses default fallback values (e.g., division by 1 if weight or units missing), which can yield misleading results — validate input data before trusting outputs. If you plan to extend the skill to connect to internal systems, review and restrict any added network calls and credentials carefully.

Overview

Sugar Finance Bot is a financial analysis tool designed for import/export food companies. It calculates the landed cost of shipments based on structured cost data.

This is useful for:

• supply chain finance teams
• import/export operations
• cost analysis and margin tracking

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What is Landed Cost?

Landed cost represents the total cost of a shipment including:

• product cost (invoice value)
• ocean or air freight
• cargo insurance
• customs duties
• MPF (Merchandise Processing Fee)
• HMF (Harbor Maintenance Fee)
• broker fees
• domestic transportation
• other import-related charges

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Tools

get_shipment_record

Loads shipment data based on a shipment ID.

Input:

• shipment_id (string)

Output:

• structured shipment object including product and cost data

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calculate_landed_cost

Calculates total landed cost and unit economics.

Input:

• shipment (object)

Output:

• total landed cost
• cost per kg
• cost per unit

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Example

Input

Shipment ID: