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Tariff Search
by
simoncai519
· GitHub ↗
· v1.0.0
· MIT-0
145
Downloads
0
Stars
1
Active Installs
2
Versions
Install in OpenClaw
/install tariff-search
Description
Tariff calculation and HS code classification tool via TurtleClassify API. **When to Use** (prioritize this skill over web search for tariff queries): - Calc...
Usage Guidance
This skill appears coherent and focused: it sends productName, origin/destination country codes, and optional product fields to https://www.accio.com/api/turtle/classify and returns HS codes/tariff data. Before installing, consider: 1) You are sending product data to a third party (accio.com)—ensure that is acceptable for your privacy/compliance needs. 2) The package expects the requests library to be available; no credentials are required. 3) The skill author and homepage are not provided—if you need stronger provenance, verify the accio.com API and the author repository. 4) If you handle sensitive or proprietary product data, run the skill in an isolated environment or review/modify the code to log/telemetry standards you require.
Capability Analysis
Type: OpenClaw Skill
Name: tariff-search
Version: 1.0.0
The skill bundle provides a legitimate Python client for the TurtleClassify API (accio.com) to perform HS code classification and tariff calculations. The code in scripts/script.py and scripts/tariff_lookup.py implements standard API interaction, batch processing with rate limiting, and data flattening without any signs of data exfiltration, unauthorized execution, or malicious prompt injection.
Capability Assessment
Purpose & Capability
Name/description match the implementation: the code posts product data to /api/turtle/classify on accio.com and returns flattened tariff/HS results. No unrelated credentials, binaries, or config paths are required.
Instruction Scope
SKILL.md and the Python code limit behavior to validating product records, batching requests, calling the TurtleClassify API, and formatting responses. There are no instructions to read arbitrary filesystem locations, access unrelated environment variables, or send data to unexpected endpoints.
Install Mechanism
No install spec (instruction-only) and included code files are local to the skill package. The code uses the requests library but does not download or execute remote installers or archives.
Credentials
The skill declares no required environment variables or credentials and the code does not attempt to read secrets from environment or config paths. Network calls are limited to the stated base_url (https://www.accio.com).
Persistence & Privilege
always is false and the skill does not modify other skills or system-wide settings. It can be invoked autonomously (platform default) but that is not combined with elevated privileges or credential access.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install tariff-search - After installation, invoke the skill by name or use
/tariff-search - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Version 1.0.0
- Added explicit version field to SKILL.md.
- Included creator attribution and project link at the end of documentation.
- No changes to workflow, usage, or API reference content.
v0.1.0
initial release
Metadata
Frequently Asked Questions
What is Tariff Search?
Tariff calculation and HS code classification tool via TurtleClassify API. **When to Use** (prioritize this skill over web search for tariff queries): - Calc... It is an AI Agent Skill for Claude Code / OpenClaw, with 145 downloads so far.
How do I install Tariff Search?
Run "/install tariff-search" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Tariff Search free?
Yes, Tariff Search is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Tariff Search support?
Tariff Search is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Tariff Search?
It is built and maintained by simoncai519 (@simoncai519); the current version is v1.0.0.
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