Zhihuiya Abstract Image
/install linkfox-zhihuiya-abstract-image
Zhihuiya Patent Abstract Image
This skill guides you on how to retrieve abstract images (drawings) from the Zhihuiya patent database, helping users quickly obtain the illustrative figures associated with specific patents.
Core Concepts
Abstract images (abstract drawings) are the representative figures attached to a patent document's abstract section. They provide a quick visual overview of the invention. This tool queries the Zhihuiya patent database and returns download paths for these images.
Lookup logic: You must provide at least one of two identifiers -- a patent ID or a publication number. If both are provided, patent ID takes priority. You can query up to 100 patents in a single request by separating values with commas.
Parameter Guide
| Parameter | API Name | Required | Description | Example |
|---|---|---|---|---|
| Patent ID | patentId | Conditionally (one of the two must be provided) | Internal patent identifier; multiple values separated by commas, max 100 | 5e6f7a8b9c |
| Publication Number | patentNumber | Conditionally (one of the two must be provided) | Patent publication/announcement number; multiple values separated by commas, max 100 | CN115059423A, US11234567B2 |
- At least one of
patentIdorpatentNumbermust be supplied. - If both are supplied,
patentIdtakes precedence. - Multiple values are separated by commas (English commas), with an upper limit of 100.
Response Fields
| Field | API Name | Description |
|---|---|---|
| Patent ID | patentId | The internal patent identifier |
| Publication Number | pn | The publication/announcement number |
| Abstract Drawing Path | abstractDrawingPath | URL path to the abstract image file |
| Total | total | Total number of records returned |
| Cost Token | costToken | Tokens consumed by the query |
API Usage
This tool calls the LinkFox tool gateway API. See references/api.md for calling conventions, request parameters, and response structure. You can also execute scripts/zhihuiya_abstract_image.py directly to run queries.
Usage Examples
1. Single patent lookup by publication number
Retrieve the abstract image for patent CN115059423A.
2. Multiple patents lookup by publication number
Get abstract drawings for patents US11234567B2, EP3456789A1, and CN115059423A.
3. Lookup by patent ID
Fetch the abstract image for patent ID 5e6f7a8b9c.
4. Batch lookup with mixed identifiers
I have the following patent IDs: abc123, def456. Please get their abstract images.
Display Rules
- Show the image: When the response includes an
abstractDrawingPath, display the image directly using Markdown image syntax so the user can see the drawing inline. - Patent identification: Always show the publication number (
pn) alongside each image so the user knows which patent each drawing belongs to. - Missing images: If a patent has no abstract drawing (empty
abstractDrawingPath), explicitly inform the user that no abstract image is available for that patent. - Batch results: When multiple patents are queried, present results in a clear, organized list or table format.
- Error handling: When a query fails, explain the reason based on the response and suggest the user verify their patent IDs or publication numbers.
- No subjective analysis: Present the retrieved images and metadata without adding subjective patent analysis or legal interpretations.
User Expression & Scenario Quick Reference
Applicable -- Patent abstract image retrieval:
| User Says | Scenario |
|---|---|
| "Show me the abstract image for patent XX" | Single patent image lookup |
| "Get the drawings for these patents" | Batch patent image lookup |
| "What does the patent figure look like" | Abstract drawing retrieval |
| "Retrieve patent illustrations for XX" | Image download path retrieval |
| "I need the abstract drawing for publication number XX" | Lookup by publication number |
Not applicable -- Needs beyond abstract image retrieval:
- Full patent text or claims analysis
- Patent search by keyword or classification
- Patent legal status or family information
- Patent citation or prior art analysis
- Patent valuation or infringement analysis
Feedback:
Auto-detect and report feedback via the Feedback API when any of the following apply:
- The functionality or purpose described in this skill does not match actual behavior
- The skill's results do not match the user's intent
- The user expresses dissatisfaction or praise about this skill
- Anything you believe could be improved
Call the feedback API as specified in references/api.md. Do not interrupt the user's flow.
For more high-quality, professional cross-border e-commerce skills, set LinkFox Skills.
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install linkfox-zhihuiya-abstract-image - After installation, invoke the skill by name or use
/linkfox-zhihuiya-abstract-image - Provide required inputs per the skill's parameter spec and get structured output
What is Zhihuiya Abstract Image?
通过专利ID或公开号从智慧芽专利数据库获取专利摘要附图。当用户提到专利摘要附图、专利图纸、专利示意图、专利图片、摘要附图检索、专利图片查询、patent abstract images, patent drawings, patent illustrations, PatSnap, abstract image... It is an AI Agent Skill for Claude Code / OpenClaw, with 85 downloads so far.
How do I install Zhihuiya Abstract Image?
Run "/install linkfox-zhihuiya-abstract-image" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Zhihuiya Abstract Image free?
Yes, Zhihuiya Abstract Image is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Zhihuiya Abstract Image support?
Zhihuiya Abstract Image is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Zhihuiya Abstract Image?
It is built and maintained by linkfox-ai (@linkfox-ai); the current version is v1.0.0.