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Zhihuiya Cited By

作者 linkfox-ai · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ⚠ suspicious
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在 OpenClaw 中安装
/install linkfox-zhihuiya-cited-by
功能描述
从智慧芽(PatSnap)查询专利被引用数据,包括被引用次数和引用专利详情。当用户提到专利被引用、被引分析、专利影响力、引用频次、专利家族被引、前向引用、想了解哪些专利引用了某一专利、patent citations, citation count, patent influence, citation anal...
使用说明 (SKILL.md)

Zhihuiya Patent Citations Explorer

This skill guides you on how to query patent citation data from Zhihuiya (PatSnap), helping users understand the citation landscape of specific patents.

Core Concepts

Patent citation analysis reveals how influential a patent is within its technology domain. When Patent B references Patent A in its prior art section, Patent A is said to be "cited by" Patent B. A higher citation count generally indicates greater technological significance and broader industry influence.

Key metrics:

  • 3-year citations (citedBy3y): Number of times the patent was cited within 3 years of publication. Indicates early-stage impact.
  • 5-year citations (citedBy5y): Number of times the patent was cited within 5 years. Indicates medium-term influence.
  • Simple family citations (citedBySimpleFamily): Count of simple patent family members that cite the patent.
  • INPADOC family citations (citedByInpadocFamily): Count of INPADOC patent family members that cite the patent.
  • PatSnap family citations (citedByPatsnapFamily): Count of PatSnap-defined patent family members that cite the patent.

Parameter Guide

You must provide at least one of the following identifiers. If both are supplied, patent ID takes priority.

Parameter Description Example
patentId Zhihuiya internal patent ID. Multiple IDs separated by commas (max 100). abc123def456
patentNumber Publication / announcement number. Multiple numbers separated by commas (max 100). US10123456B2, CN112345678A

Important: At least one of patentId or patentNumber is required. When the user provides a publication number (e.g., "US10123456B2"), use patentNumber. When they provide internal IDs, use patentId.

Usage Examples

1. Single patent citation lookup by publication number Query: "How many citations does patent US10123456B2 have?"

{
  "patentNumber": "US10123456B2"
}

2. Multiple patents citation comparison Query: "Compare citations for CN112345678A and CN113456789B"

{
  "patentNumber": "CN112345678A,CN113456789B"
}

3. Lookup by patent ID Query: "Get citation data for patent ID abc123def456"

{
  "patentId": "abc123def456"
}

4. Batch query with multiple IDs Query: "Citation info for these patent IDs: id001, id002, id003"

{
  "patentId": "id001,id002,id003"
}

Display Rules

  1. Present data in tables: Show citation results in clear, structured tables. Include the publication number, 3-year citations, 5-year citations, and family citation counts.
  2. Highlight key metrics: When comparing multiple patents, highlight the one with the highest citation counts.
  3. Explain family types: If the user is unfamiliar with patent families, briefly explain the difference between Simple, INPADOC, and PatSnap family definitions.
  4. Citing patent details: If the response includes a citedByPatents array with details of citing patents, present them in a sub-table or expandable list.
  5. Error handling: When a query fails, explain the reason based on the response and suggest checking whether the patent number or ID is correct.
  6. No subjective advice: Present factual citation data without making judgments about patent value or investment decisions.

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_cited_by.py directly to run queries.

User Expression & Scenario Quick Reference

Applicable -- Patent citation analysis scenarios:

User Says Scenario
"How many times has this patent been cited" Basic citation count
"Which patents cite this one" Citing patent list
"Patent influence analysis" Citation-based impact
"Compare citations between patents" Multi-patent comparison
"3-year / 5-year citation count" Time-windowed citation metrics
"Patent family citation data" Family-level citation analysis
"Forward citations for patent X" Synonym for cited-by lookup

Not applicable -- Needs beyond patent citation data:

  • Patent full-text search or semantic search
  • Patent legal status or prosecution history
  • Patent valuation or licensing recommendations
  • Backward citations (references made by a patent)

Feedback:

Auto-detect and report feedback via the Feedback API when any of the following apply:

  1. The functionality or purpose described in this skill does not match actual behavior
  2. The skill's results do not match the user's intent
  3. The user expresses dissatisfaction or praise about this skill
  4. 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.

安全使用建议
Before enabling this skill, note that the included script and API docs require an API key in the environment variable LINKFOXAGENT_API_KEY, but the skill metadata does not declare this requirement — confirm that you are comfortable providing that key. Verify you trust the external endpoints (tool-gateway.linkfox.com and skill-api.linkfox.com) and the LinkFox organization; limit the API key's scope and rotate it if possible. If you need stricter controls, ask the skill author to update the metadata to list LINKFOXAGENT_API_KEY as a required credential and to document what permissions the key requires. Finally, remember the skill will call external network endpoints to fetch citation data (expected behavior); if your environment restricts outbound network access, review or sandbox the skill first.
功能分析
Type: OpenClaw Skill Name: linkfox-zhihuiya-cited-by Version: 1.0.0 The skill is designed to query patent citation data from Zhihuiya (PatSnap) via a LinkFox API gateway. The Python script (scripts/zhihuiya_cited_by.py) uses standard libraries to perform authenticated POST requests to a specific endpoint (tool-gateway.linkfox.com) and handles API keys via environment variables, which is standard practice. The instructions in SKILL.md and the API documentation in references/api.md are consistent with the stated purpose and do not contain any malicious directives or suspicious behaviors.
能力评估
Purpose & Capability
Name/description, SKILL.md, references/api.md, and the script all consistently implement a PatSnap (Zhihuiya) 'cited-by' lookup via the LinkFox tool gateway. However, the package metadata declares no required environment variables while both references/api.md and scripts/zhihuiya_cited_by.py require an API key (LINKFOXAGENT_API_KEY). The missing declaration is an incoherence between claimed requirements and actual runtime needs.
Instruction Scope
The SKILL.md instructs the agent to call the LinkFox tool gateway (tool-gateway.linkfox.com/zhihuiya/patentCited) and optionally the separate feedback API (skill-api.linkfox.com). The instructions do not request broad system file reads or unrelated credentials. They do, however, instruct use of an environment variable for auth (LINKFOXAGENT_API_KEY) that is not listed in the skill metadata — a scope/requirements mismatch.
Install Mechanism
There is no install spec (instruction-only plus a small helper script). No external archives or package installs are performed; the included Python script uses stdlib urllib. This is low install risk.
Credentials
The only secret the runtime uses is LINKFOXAGENT_API_KEY (Authorization header). That credential is proportionate to calling the LinkFox API, but it is not listed under required env vars in the skill metadata — the undeclared secret requirement is a notable inconsistency. No other unrelated credentials or config paths are requested.
Persistence & Privilege
always is false, the skill does not request elevated or persistent system privileges, and it does not modify other skills or system-wide agent settings. Autonomous invocation remains enabled by default but is not combined with other high-risk flags here.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install linkfox-zhihuiya-cited-by
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /linkfox-zhihuiya-cited-by 触发
  4. 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v1.0.0
Initial release
元数据
Slug linkfox-zhihuiya-cited-by
版本 1.0.0
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 1
常见问题

Zhihuiya Cited By 是什么?

从智慧芽(PatSnap)查询专利被引用数据,包括被引用次数和引用专利详情。当用户提到专利被引用、被引分析、专利影响力、引用频次、专利家族被引、前向引用、想了解哪些专利引用了某一专利、patent citations, citation count, patent influence, citation anal... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 83 次。

如何安装 Zhihuiya Cited By?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install linkfox-zhihuiya-cited-by」即可一键安装,无需额外配置。

Zhihuiya Cited By 是免费的吗?

是的,Zhihuiya Cited By 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

Zhihuiya Cited By 支持哪些平台?

Zhihuiya Cited By 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。

谁开发了 Zhihuiya Cited By?

由 linkfox-ai(@linkfox-ai)开发并维护,当前版本 v1.0.0。

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