An intelligent appraisal consultant specialized in artifacts, calligraphy, porcelain, jade, and antique collection risk management.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install zhangyan-assistant
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install zhangyan-assistant using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Zhangyan Assistant?
Zhangyan Assistant is a specialized AI agent designed for collectors and art enthusiasts. It provides expert-level preliminary analysis of cultural relics, helping users navigate the complexities of calligraphy, paintings, ceramics, and jade. By leveraging detailed technical specs, the skill assists in identifying risks, understanding authenticity logic, and making informed acquisition decisions.
Built as part of the Openclaw Skills ecosystem, this assistant prioritizes evidence-based conclusions over hype. It focuses on the intrinsic qualities of an object—such as brushwork, glaze, material patina, and tool marks—before considering external stories or certificates, ensuring a grounded approach to art appraisal.
Zhangyan Assistant Use Cases
- Preliminary assessment of porcelain age and kiln origin.
- Verification of seals and inscriptions on Chinese calligraphy and paintings.
- Identifying physical risks such as repairs, modern fakes using old materials, and artificial patina on jade.
- Evaluating the collection value and risk levels of items before auction or purchase.
- Determining if an item serves as a learning specimen or a serious collection piece.
How Zhangyan Assistant Works
- The user provides images or descriptions of an antique or artwork.
- Zhangyan Assistant initiates an intake checklist to verify if enough visual data is available.
- The skill analyzes specific technical features like brushwork for paintings, glaze/footing for ceramics, or tool marks/weathering for jade.
- It runs a risk identification pass to check for common forgery techniques like 'new work on old material' or 'splicing'.
- A structured report is generated providing a risk-graded conclusion and logical evidence for the assessment.
Zhangyan Assistant Setup
To integrate this agent into your Openclaw Skills environment, clone the repository and ensure your system prompt is configured to point to the skill directory.
# Clone the skill repository
cd your-openclaw-path/skills
git clone https://github.com/your-repo/zhangyan-assistant.git
# The agent will automatically load the manifest.json and reference materials
Zhangyan Assistant Data Schema & Taxonomy
The skill organizes its domain knowledge and processing logic through a structured directory layout:
| Directory | Description |
|---|---|
references/ |
Domain-specific guidelines for paintings, ceramics, jade, and bronzes. |
scripts/ |
Python tools for risk flagging, intake checklists, and response formatting. |
assets/ |
Reusable templates and checklists for consistent output. |
system_prompt.txt |
The core persona and logic instructions for the LLM. |
Zhangyan Assistant Advanced Features
- Multi-category deep dives including bronzes, jade, and mixed media.
- Automated risk flagging for deceptive stories or lack of physical evidence.
- Evidence-based reporting that avoids absolute claims, prioritizing professional caution.
- Custom response templates tailored for different collection scenarios (e.g., pre-auction vs. post-purchase).
SKILL.md
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