topease-customs-mcp

topease-customs-mcp is a skill for Claude Code, Codex from TopEase-AI/topease-customs-mcp-skill. It costs 90 tokens per session (2,579 once invoked), scanned A, original, no licence file.

A tool for querying and analysing global customs trade records through the TOPEASE/Tradee Customs service. Customs records document imports and exports, including the companies, products, codes, and markets involved.

In plain words
What is it for?
Use it to find import and export records, buyers, suppliers, shipments, product or HS-code data, country and market activity, and importer or exporter leads.
Why use it?
It helps investigate trade activity without manually compiling customs records from different sources.

Skill for Claude CodeCodex

Written for Claude Code and Codex: shipped in a Claude Code plugin, but also agents/openai.yaml present.

Part of the topease-customs-mcp plugin — 1 skill, 1 MCP server shipped together

Good fit Use it to find import and export records, buyers, suppliers, shipments, product or HS-code data, country and market activity, and importer or exporter leads.

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Install with agentmods
npx agentmods add skills/topease-ai/topease-customs-mcp-skill/topease-customs-mcp
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add TopEase-AI/topease-customs-mcp-skill --skill topease-customs-mcp
Clone the repo
git clone --depth 1 https://github.com/TopEase-AI/topease-customs-mcp-skill

Made for: Claude Code, Codex.

Or install topease-customs-mcp, the plugin that ships this one along with the rest of its 1 skill, 1 MCP server.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for topease-customs-mcp

README.md
[![agentmods](https://agentmods.dev/badge/skills/topease-ai/topease-customs-mcp-skill/topease-customs-mcp/github.svg)](https://agentmods.dev/skills/topease-ai/topease-customs-mcp-skill/topease-customs-mcp)
Your own site
<a href="https://agentmods.dev/skills/topease-ai/topease-customs-mcp-skill/topease-customs-mcp"><img src="https://agentmods.dev/badge/skills/topease-ai/topease-customs-mcp-skill/topease-customs-mcp/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for topease-customs-mcp

Your own site · 80×15
<a href="https://agentmods.dev/skills/topease-ai/topease-customs-mcp-skill/topease-customs-mcp"><img src="https://agentmods.dev/badge/skills/topease-ai/topease-customs-mcp-skill/topease-customs-mcp.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 90 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,579 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin unknown No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00090 $0.02579
Opus 5 $0.00045 $0.01290
Sonnet 5 $0.00018 $0.00516
Haiku 4.5 $0.00009 $0.00258

Measured 12d ago against content hash 2aa66949dfca, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

topease-customs-mcp scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/generate_mcp_config.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

plugins/topease-customs-mcp/skills/topease-customs-mcp/SKILL.md · 238 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

Files

What ships with it

4 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 12d ago First seen · 238 lines · 90 tokens per session scan A 2aa66949dfca

Subscribe to this mod's changes

topease-customs-mcp is a skill published in the GitHub repository TopEase-AI/topease-customs-mcp-skill (3 stars, last pushed 3mo ago), with no licence file. It adds 90 tokens to every session and 2,579 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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