China Industrial Machinery Factory

Comprehensive industrial machinery industry factory guide for international buyers – provides detailed information about China's machine tools, construction...

MIT-0 · Free to use, modify, and redistribute. No attribution required.
0 · 20 · 0 current installs · 0 all-time installs
MIT-0
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Benign
high confidence
Purpose & Capability
Name/description (China industrial machinery sourcing) match the provided assets: a data.json of cluster-level industry information and a run.py that exposes read-only query functions over that data. Required resources (none) are proportional to the stated purpose.
Instruction Scope
SKILL.md describes only informational interactions. The implementation (run.py) reads the bundled data.json and exposes getters/searchers; there are no instructions to read arbitrary system files, environment variables, or to transmit data externally.
Install Mechanism
No install spec is provided and the skill is instruction-only with bundled files. The only code included is run.py and a local data.json — nothing is downloaded or extracted from the network during install.
Credentials
The skill declares no required environment variables, credentials, or config paths. The code only opens the local data.json file and does not reference os environment secrets or external auth.
Persistence & Privilege
always=false (default) and the skill does not modify agent/system configuration or request elevated privileges. Autonomous invocation is allowed but is the platform default and is not combined with other risky behaviors here.
Assessment
This skill appears to be a self-contained, read-only industry guide implemented with a local data.json and a small Python wrapper. Before installing, consider: 1) the publisher is unknown (no homepage) — verify you trust the source and review data.json for any sensitive or unexpected entries; 2) the content is snapshot data (last_updated 2026-03-14) — validate critical supplier claims independently before acting on them; 3) although the skill requires no credentials or network access, you should still review the bundled files (data.json/run.py) if you run this in an environment where supply-chain provenance matters. Overall the package is internally consistent and low-risk, but verify source trustworthiness if that matters for your use case.

Like a lobster shell, security has layers — review code before you run it.

Current versionv1.0.0
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License

MIT-0
Free to use, modify, and redistribute. No attribution required.

SKILL.md

China Industrial Machinery Factory Skill

Description

This skill helps international buyers navigate China's industrial machinery manufacturing landscape, which is projected to exceed ¥11.8 trillion in revenue by 2026. It provides data-backed intelligence on regional clusters, supply chain structure, and industry trends based on the latest government policies and industry reports.

Key Capabilities

  • Industry Overview: Get a summary of China's industrial machinery industry scale, development targets, and key policy initiatives.
  • Supply Chain Structure: Understand the complete industry chain from raw materials and core components to downstream applications.
  • Regional Clusters: Identify specialized manufacturing hubs for different machinery types (CNC machine tools, construction machinery, agricultural equipment, packaging lines, robotics, etc.).
  • Subsector Insights: Access detailed information on key subsectors (metal cutting machine tools, construction machinery, agricultural machinery, packaging machinery, industrial robots, etc.).
  • Sourcing Recommendations: Get practical guidance on evaluating and selecting suppliers, including verification methods, communication best practices, and typical lead times.

How to Use

You can interact with this skill using natural language. For example:

  • "What's the overall status of China's industrial machinery industry in 2026?"
  • "Show me the supply chain structure for industrial machinery"
  • "Which regions are best for factory CNC machine tools?"
  • "Tell me about construction machinery manufacturing clusters in China"
  • "How do I evaluate suppliers of packaging lines?"
  • "What certifications should I look for in industrial robot suppliers?"

Data Sources

This skill aggregates data from:

  • Ministry of Industry and Information Technology (MIIT) official policies
  • China Machinery Industry Federation (CMIF) annual reports
  • National Bureau of Statistics of China
  • Industry research publications (updated Q1 2026)

Implementation

The skill logic is implemented in run.py, which reads structured data from data.json. All data is cluster-level intelligence without individual factory contacts.

API Reference

The following Python functions are available in run.py for programmatic access:

get_industry_overview() -> Dict

Returns overview of China's industrial machinery industry scale, targets, and key policy initiatives.

Example:

from run import get_industry_overview
result = get_industry_overview()
# Returns: industry scale, 2026 targets, automation rates, key drivers, etc.

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