China Beauty Factory

Comprehensive beauty industry factory guide for international buyers – provides detailed information about China's skincare, color cosmetics, hair care, and...

Security Scan

The skill's code, data, and runtime instructions are consistent with a read-only reference guide for China's beauty manufacturing clusters and do not request unrelated credentials, installs, or system access.

Purpose & Capability

The name/description (industry guide for buyers) matches the packaged artifacts: a static data.json and run.py that expose read-only lookup/search functions. No unrelated credentials, binaries, or external services are required.

Instruction Scope

SKILL.md describes interactive queries and references the same dataset that run.py reads. The instructions do not ask the agent to read arbitrary system files, call external endpoints, or exfiltrate data; runtime behavior is confined to returning entries from data.json.

Install Mechanism

There is no install spec and no network download. The skill is instruction/code-only and only loads the bundled local data.json, which is low-risk compared with remote installers or extracted archives.

Credentials

The skill declares no required environment variables or credentials and the code does not access environment-sensitive variables or external config paths. Requested access is proportional to a static reference skill.

Persistence & Privilege

always is false and the skill does not modify agent/system configuration or other skills. It does not request persistent presence or elevated privileges.

Assessment

This package appears to be a self-contained, read-only industry reference built from bundled data.json and a small Python wrapper. Before installing, consider: 1) provenance — the skill's source/homepage is unknown, so verify the owner or checksum if you need strong supply-chain guarantees; 2) data currency and citations — review data.json to confirm the specific sources and dates match your needs; 3) absence of contacts — the SKILL.md states cluster-level data only (no factory contacts), so do not expect supplier credentials here; 4) future risk — if an updated version ever adds network calls, environment variables, or installers, re-audit for credential requests or remote downloads. If you require stricter assurance, inspect data.json and run.py locally (they are small) before enabling the skill.

China Beauty Factory Skill

Description

This skill helps international buyers navigate China's beauty manufacturing landscape, which is projected to exceed ¥1.5 trillion in revenue by 2026. China is the world's second-largest beauty market and largest producer of cosmetics. It provides data-backed intelligence on regional clusters, supply chain structure, and industry trends based on the latest government policies and industry reports. Coverage includes skincare, color cosmetics, hair care, body care, fragrances, and men's grooming.

Key Capabilities

• Industry Overview: Get a summary of China's beauty industry scale, development targets, and key policy initiatives (efficacy claims, clean beauty, domestic brand growth).
• Supply Chain Structure: Understand the complete industry chain from raw materials (hyaluronic acid, peptides), packaging, formulation R&D to manufacturing and global sales channels.
• Regional Clusters: Identify specialized manufacturing hubs (Pearl River Delta for mass production, Yangtze River Delta for premium, Shandong for ingredients).
• Subsector Insights: Access detailed information on key subsectors (skincare, color cosmetics, hair care, body care, fragrances).
• Factory Recommendations: Get practical guidance on evaluating and selecting suppliers, including verification methods, communication best practices, typical lead times, and payment terms.

How to Use

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

• "What's the overall status of China's beauty industry in 2026?"
• "Show me the supply chain structure for skincare products"
• "Which regions are best for factory color cosmetics?"
• "Tell me about hyaluronic acid manufacturing clusters"
• "How do I evaluate ODM suppliers for private label?"
• "What certifications should I look for in clean beauty products?"

Data Sources

This skill aggregates data from:

• Ministry of Industry and Information Technology (MIIT)
• China Association of Fragrance Flavor and Cosmetic Industries (CAFFCI)
• National Medical Products Administration (NMPA)
• 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 beauty industry scale, targets, and key policy initiatives.

Example:

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