Agent skill

Linkfox Zhihuiya Patent Cited

by linkfox-ai in linkfox-ai/linkfox-skills

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 analysis…

MITAuto-check passedLegal & Compliance

Install Linkfox Zhihuiya Patent Cited

skills CLI
$ npx skills add linkfox-ai/linkfox-skills --skill linkfox-zhihuiya-patent-cited -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install linkfox-ai/linkfox-skills linkfox-zhihuiya-patent-cited --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/linkfox-ai/linkfox-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/linkfox-zhihuiya-patent-cited .claude/skills/linkfox-zhihuiya-patent-cited && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
linkfox-zhihuiya-patent-cited
GitHub stars
107
Used in
1 other repo
Token cost
~1.5k tokens
SKILL.md length
668 words
Files
5 (incl. scripts, references)
Skills in repo
177
Repo updated
First seen
Licence
MIT

At a glance

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 analysis…

  • Works in 6 steps: Present data in tables: Show citation… → Highlight key metrics: When comparing… → Explain family types: If the user is… → …
  • Tasks that involve Intellectual property
  • SKILL.md covers Core Concepts, Parameter Guide, Usage Examples and Display Rules, plus 4 more sections
  • Runs Python scripts from its folder; calls python; needs LINKFOX_AGENT_API_KEY and LINKFOXAGENT_API_KEY

What it does

Linkfox Zhihuiya Patent Cited is an agent skill from linkfox-ai/linkfox-skills. 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 analysis, PatSnap时触发此技能。即使用户未明确提及"智慧芽"或"PatSnap",只要其需求涉及查询某专利被引用次数或被哪些专利引用,也应触发此技能。

Its SKILL.md is about 1.5k tokens, which your agent loads only when the skill is triggered. The skill folder holds 6 other files, including scripts and reference files (for example `references/api.md`, `references/onboarding.md` and `scripts/onboarding.py`).

It sits in Legal & Compliance, covering Intellectual property and Citation management. The licence is MIT.

When your agent uses it

  • Tasks that involve Intellectual property
  • Tasks that involve Citation management

Example prompts

  • “PatSnap”
  • “/linkfox-zhihuiya-patent-cited”

Requirements

  • Python 3
  • A credential in LINKFOX_AGENT_API_KEY
  • A credential in LINKFOXAGENT_API_KEY

Workflow steps

6 steps, taken from the first numbered list in SKILL.md.

  1. Present data in tables: Show citation results in clear, structured tables. Include the publication number, 3-year citations, 5-year…
  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…
  4. Citing patent details: If the response includes a citedByPatents array with details of citing patents, present them in a sub-table or…
  5. Error handling: When a query fails, explain the reason based on the response and suggest checking whether the patent number or ID is…
  6. No subjective advice: Present factual citation data without making judgments about patent value or investment decisions.

What it can do on your machine

Read from SKILL.md and the folder at commit 38fef04. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 2 files in scripts/ (Python), which the agent can run.

    Shell commands in SKILL.md call:

    • python

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Links to these hosts (documentation or services it may open):

    • skill.linkfox.com

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names these keys or tokens, usually read from environment variables:

    • LINKFOX_AGENT_API_KEY
    • LINKFOXAGENT_API_KEY

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Linkfox Zhihuiya Patent Cited loads about 1.5k tokens when it runs, and up to ~3.1k if it reads all its reference files. Until then it costs about 67 tokens; SKILL.md has 668 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~67
When it runs · the whole SKILL.md, loaded when a task matches
~1.5k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~3.1k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from linkfox-ai/linkfox-skills at commit 38fef04, republished under its MIT licence (© linkfox-ai). 668 words, ~1,548 tokens.

Download SKILL.mdSave it as .claude/skills/linkfox-zhihuiya-patent-cited/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.
name
linkfox-zhihuiya-patent-cited
description
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 analysis, PatSnap时触发此技能。即使用户未明确提及"智慧芽"或"PatSnap",只要其需求涉及查询某专利被引用次数或被哪些专利引用,也应触发此技能。

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.

ParameterDescriptionExample
patentIdZhihuiya internal patent ID. Multiple IDs separated by commas (max 100).abc123def456
patentNumberPublication / 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?"

json
{
  "patentNumber": "US10123456B2"
}

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

json
{
  "patentNumber": "CN112345678A,CN113456789B"
}

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

json
{
  "patentId": "abc123def456"
}

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

json
{
  "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.
Show full SKILL.md (247 more words)Show less

调用方式

  • API 端点:POST /zhihuiya/patentCited(完整参数/响应/错误码见 references/api.md)
  • Python 脚本:python scripts/zhihuiya_cited_by.py '<JSON 参数>' [--inline]
  • 成本约束:本工具会消耗算力;同一会话同一参数组合默认只调用一次,脚本带 24h 本地缓存。失败/空结果不得自动换关键词、翻页或改邮编连续试探;需要继续检索时先向用户说明会产生额外消耗。

输出策略(脚本默认行为):

  • 始终将完整响应写入 <cwd>/linkfox/<YYYY-MM-DD>/<session>/data/linkfox-zhihuiya-patent-cited-<timestamp>.json(<cwd> 为脚本执行时的工作目录,在 Claude Code 里即当前项目目录;<session> 取自环境变量 SESSION_ID,按用户任务自动聚合;禁止写入 /tmp,当前目录不可写则报错)
  • 响应体 ≤ 8 KB:落盘后把完整 JSON 打印到 stdout
  • 响应体 > 8 KB:落盘后 stdout 只输出摘要(顶层字段、常见计数如 total/costToken、最大列表字段的长度 + 前 3 条样本)
  • 加 --inline 强制全量打印到 stdout(同样落盘)

读数据建议:先看摘要判断是否足够;需要具体字段时优先用 jq或ConvertFrom-Json 从保存的 json 文件按需抽取,避免整份 JSON 进入上下文。

解决认证和算力问题

发生以下异常情况时,采用 references/onboarding.md 引导解决问题:

异常情况
  • 未配置API Key:环境变量未配置 LINKFOX_AGENT_API_KEY,也未配置 LINKFOXAGENT_API_KEY。
  • 响应401或402状态码
  • 响应提示算力或余额不足:消息含"算力余额不足/计费不足/余额不足/quota exceeded/insufficient balance/套餐到期/需充值/请充值",或类似含义的内容。

User Expression & Scenario Quick Reference

Applicable -- Patent citation analysis scenarios:

User SaysScenario
"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)

算力消耗规则

按动态规则计费:消耗算力 = 81 × 返回data条数。每条为 1 条专利被引证结果

重要:本技能的服务按倍数动态计算,可能一次性消耗大量算力,必须提醒用户,由用户决定是否继续。

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.

© linkfox-ai, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 4 other files (scripts, references) in skills/linkfox-zhihuiya-patent-cited of linkfox-ai/linkfox-skills.

  • SKILL.md
  • references/api.md
  • references/onboarding.md
  • scripts/onboarding.py
  • scripts/zhihuiya_cited_by.py

Open the folder on GitHubat commit 38fef04

Used in 1 other repository

We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in linkfox-ai/linkfox-skills, which our catalogue first saw on October 7, 2026.

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Questions about Linkfox Zhihuiya Patent Cited

What does Linkfox Zhihuiya Patent Cited do?

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 analysis…. Linkfox Zhihuiya Patent Cited is an agent skill from linkfox-ai/linkfox-skills.

When should I use Linkfox Zhihuiya Patent Cited?

Linkfox Zhihuiya Patent Cited fits situations like: tasks that involve Intellectual property; tasks that involve Citation management.

How do I install Linkfox Zhihuiya Patent Cited in Claude Code?

Run `npx skills add linkfox-ai/linkfox-skills --skill linkfox-zhihuiya-patent-cited -a claude-code`. Or copy the skill folder (skills/linkfox-zhihuiya-patent-cited in linkfox-ai/linkfox-skills) into .claude/skills/linkfox-zhihuiya-patent-cited in your project. Claude Code loads it when a task matches its description.

How do I install Linkfox Zhihuiya Patent Cited in Codex?

Run `npx skills add linkfox-ai/linkfox-skills --skill linkfox-zhihuiya-patent-cited -a codex`. Or copy the skill folder (skills/linkfox-zhihuiya-patent-cited in linkfox-ai/linkfox-skills) into .agents/skills/linkfox-zhihuiya-patent-cited in your project. Codex loads it when a task matches its description.

Can I use Linkfox Zhihuiya Patent Cited in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add linkfox-ai/linkfox-skills --skill linkfox-zhihuiya-patent-cited -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/linkfox-zhihuiya-patent-cited, .gemini/skills/linkfox-zhihuiya-patent-cited, .github/skills/linkfox-zhihuiya-patent-cited and .opencode/skills/linkfox-zhihuiya-patent-cited in your project.

What does Linkfox Zhihuiya Patent Cited need to run?

Going by SKILL.md and its folder, Linkfox Zhihuiya Patent Cited needs Python for the scripts in its folder, the command-line tools its instructions call (python) and credentials named LINKFOX_AGENT_API_KEY and LINKFOXAGENT_API_KEY. Our summary lists: Python 3; A credential in LINKFOX_AGENT_API_KEY; A credential in LINKFOXAGENT_API_KEY.

Does Linkfox Zhihuiya Patent Cited access the network?

SKILL.md names 1 domain. As links in the text: skill.linkfox.com. This is read from the text; nothing was executed.

Is Linkfox Zhihuiya Patent Cited safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Linkfox Zhihuiya Patent Cited use?

Linkfox Zhihuiya Patent Cited is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Linkfox Zhihuiya Patent Cited use?

About 1.5k tokens (SKILL.md is roughly 6.2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 1.6k tokens, read only when the agent opens those files.

What are the alternatives to Linkfox Zhihuiya Patent Cited?

Skills that share tags, products or a category with Linkfox Zhihuiya Patent Cited: Research (alirezarezvani/claude-skills, 28k stars), Ccf Literature Searcher (mikubaka88/CCFA-Skills, 3k stars), Aminer MCP Research (Drchronx/ai-agent-research-starter-kit, 139 stars) and Ijoc Literature Positioning (brycewang-stanford/Awesome-Journal-Skills, 1.2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Linkfox Zhihuiya Patent Cited?

linkfox-ai (a GitHub user) maintains it in linkfox-ai/linkfox-skills, which has 107 GitHub stars. The repository holds 177 skills in this directory. The repository was last updated on September 14, 2026.

Source: linkfox-ai/linkfox-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.