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Sugar Finance Bot
by
Patttyyywu
· GitHub ↗
· v1.0.0
· MIT-0
149
Downloads
0
Stars
0
Active Installs
1
Versions
Install in OpenClaw
/install sugar-finance-bot
Description
Calculates total landed cost and unit economics for food import/export shipments based on detailed shipment cost data.
Usage Guidance
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.
Capability Analysis
Type: OpenClaw Skill
Name: sugar-finance-bot
Version: 1.0.0
The Sugar Finance Bot is a straightforward financial analysis tool for calculating shipment costs. The code in tool.py consists of simple arithmetic and hardcoded data structures with no external dependencies, network calls, or file system access, and the SKILL.md contains no malicious instructions or prompt injection attempts.
Capability Assessment
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.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install sugar-finance-bot - After installation, invoke the skill by name or use
/sugar-finance-bot - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Sugar Finance Bot 1.0.0
- Initial release of Sugar Finance Bot for financial analysis in import/export food companies.
- Calculates shipment landed cost using structured cost data (product, freight, insurance, duties, fees, etc.).
- Includes tools to retrieve shipment records and compute total and unit landed costs.
- Supports supply chain finance, operations, and cost analysis teams.
Metadata
Frequently Asked Questions
What is Sugar Finance Bot?
Calculates total landed cost and unit economics for food import/export shipments based on detailed shipment cost data. It is an AI Agent Skill for Claude Code / OpenClaw, with 149 downloads so far.
How do I install Sugar Finance Bot?
Run "/install sugar-finance-bot" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Sugar Finance Bot free?
Yes, Sugar Finance Bot is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Sugar Finance Bot support?
Sugar Finance Bot is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Sugar Finance Bot?
It is built and maintained by Patttyyywu (@patttyyywu); the current version is v1.0.0.
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