Agent skill

Linkfox Zhihuiya Retrieval Patent Search

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

通过 Analytics 检索式(如 TACD: 关键词)在智慧芽专利数据库中检索专利列表,返回专利ID、公开号及命中总数。当用户提到专利检索式检索、专利表达式搜索、Analytics检索式、TACD检索、专利关键词检索、检索式查专利、专利语义检索、patent expression search, patent query syntax, Analytics query, TACD…

MITAuto-check passedLegal & Compliance

Install Linkfox Zhihuiya Retrieval Patent Search

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

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

GitHub CLI
$ gh skill install linkfox-ai/linkfox-skills linkfox-zhihuiya-retrieval-patent-search --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-retrieval-patent-search .claude/skills/linkfox-zhihuiya-retrieval-patent-search && 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-retrieval-patent-search
GitHub stars
107
Token cost
~2.3k tokens
SKILL.md length
949 words
Files
5 (incl. scripts, references)
Skills in repo
177
Repo updated
First seen
Licence
MIT

At a glance

通过 Analytics 检索式(如 TACD: 关键词)在智慧芽专利数据库中检索专利列表,返回专利ID、公开号及命中总数。当用户提到专利检索式检索、专利表达式搜索、Analytics检索式、TACD检索、专利关键词检索、检索式查专利、专利语义检索、patent expression search, patent query syntax, Analytics query, TACD…

  • Works in 6 steps: Present results as a table: show pn,… → Show totals: always state… → Default sort: if the user does not… → …
  • Tasks that involve Intellectual property
  • SKILL.md covers Core Concepts, Data Fields, 调用方式 and 解决认证和算力问题, plus 6 more sections
  • Runs Python scripts from its folder; calls python; needs LINKFOX_AGENT_API_KEY and LINKFOXAGENT_API_KEY

What it does

Linkfox Zhihuiya Retrieval Patent Search is an agent skill from linkfox-ai/linkfox-skills. 通过 Analytics 检索式(如 TACD: 关键词)在智慧芽专利数据库中检索专利列表,返回专利ID、公开号及命中总数。当用户提到专利检索式检索、专利表达式搜索、Analytics检索式、TACD检索、专利关键词检索、检索式查专利、专利语义检索、patent expression search, patent query syntax, Analytics query, TACD search, PatSnap, 智慧芽专利检索时触发此技能。即使用户未明确提及"检索式"或"智慧芽",只要用户希望用检索式/表达式语法在专利库中检索专利列表,也应触发此技能。

Its SKILL.md is about 2.3k 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. The licence is MIT.

When your agent uses it

  • Tasks that involve Intellectual property

Example prompts

  • “/linkfox-zhihuiya-retrieval-patent-search”

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 results as a table: show pn, title, apdt/pbdt (format as dates), inventor, currentAssignee, authority per item.
  2. Show totals: always state allRecordsCount (total hits) and the current page range (offset–offset+limit).
  3. Default sort: if the user does not specify a sort, actively inject {"field": "SCORE", "order": "DESC"} so results are relevance-ordered…
  4. Large result sets: present a summary table first, note the total, and offer to expand specific patents.
  5. Expand via sibling skills: to get full metadata for a patent, direct the user to linkfox-zhihuiya-bibliography /…
  6. No fabrication: only display fields actually present in the response; never invent titles, dates, or assignees not returned.

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 Retrieval Patent Search loads about 2.3k tokens when it runs, and up to ~4.5k if it reads all its reference files. Until then it costs about 81 tokens; SKILL.md has 949 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~81
When it runs · the whole SKILL.md, loaded when a task matches
~2.3k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~4.5k

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). 949 words, ~2,302 tokens.

Download SKILL.mdSave it as .claude/skills/linkfox-zhihuiya-retrieval-patent-search/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.
name
linkfox-zhihuiya-retrieval-patent-search
description
通过 Analytics 检索式(如 TACD: 关键词)在智慧芽专利数据库中检索专利列表,返回专利ID、公开号及命中总数。当用户提到专利检索式检索、专利表达式搜索、Analytics检索式、TACD检索、专利关键词检索、检索式查专利、专利语义检索、patent expression search, patent query syntax, Analytics query, TACD search, PatSnap, 智慧芽专利检索时触发此技能。即使用户未明确提及"检索式"或"智慧芽",只要用户希望用检索式/表达式语法在专利库中检索专利列表,也应触发此技能。

This skill searches the Zhihuiya (PatSnap) patent database using an Analytics query expression (e.g. TACD: virtual reality), returning a list of matching patents with their patent IDs and publication numbers, plus the total hit count.

Core Concepts

Expression-based patent search uses Zhihuiya's Analytics query syntax to retrieve patents matching a field-scoped boolean expression. Unlike image-based search, this is a text query against the full patent corpus.

Query expression (queryText) holds an Analytics expression. Common field-scoped syntax:

SyntaxScope
TACD: <term>Title + Abstract + Claims + Description
TAC: <term>Title + Abstract + Claims
TA: <term>Title + Abstract
AND / OR / NOTBoolean operators (combine terms/fields)

This skill returns a list of patents (patentId + pn). To retrieve detailed bibliographic data, full text, legal status, family, or images for a specific patent, feed the returned patentId/pn into the corresponding linkfox-zhihuiya-bibliography / linkfox-zhihuiya-simple-bibliography / linkfox-zhihuiya-legal-status / linkfox-zhihuiya-patent-family skills.

Data Fields

Each data[] item (one matching patent):

FieldDescription
patentIdZhihuiya internal patent ID
pnPublication (announcement) number
titlePatent title
apdtApplication date (integer, YYYYMMDD)
pbdtPublication date (integer, YYYYMMDD)
apnoApplication number
authorityPatent office / authority (e.g. US)
inventorInventor(s), pipe-separated
originalAssigneeOriginal applicant(s), pipe-separated
currentAssigneeCurrent assignee(s), pipe-separated

Top-level fields:

FieldDescription
data专利列表(每项含上表 10 个字段)
totalNumber of records returned in this response
allRecordsCountTotal hits matching the query expression
costTokenToken cost for this query
columnsRender metadata (display hints, not data records)
typeRender style (e.g. tableListWorkbenches)
errcode200 on success
errmsgok on success

The top-level columns array is render metadata and may be longer than the real data list — do not treat it as data.

调用方式

  • API 端点:POST /zhihuiya/querySearchPatent(完整参数/响应/错误码见 references/api.md)
  • Python 脚本:python scripts/zhihuiya_query_search_patent.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、翻页或改检索式连续试探;需要继续检索或翻页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-retrieval-patent-search-<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
  • 响应提示算力或权限不足:消息含"算力余额不足/计费不足/余额不足/quota exceeded/insufficient balance/No permission/API package quota/套餐到期/需充值/请充值",或类似含义的内容。

Parameter Guide

ParameterRequiredDefaultDescription
queryTextYes-Analytics 检索式,最大 12000 字符
limitNo10返回专利个数,1–1000
offsetNo0偏移量,0–19999;limit + offset ≤ 20000
sortNo-排序数组,元素 {field, order}
stemmingNo0截词检索:1 开启 / 0 关闭,默认关闭
collapseTypeNoALL去重方式:ALL / APNO / DOCDB / INPADOC / EXTEND
collapseByNo-去重排序字段:APD / PBD / AUTHORITY / SCORE
collapseOrderNo-去重排序顺序:OLDEST / LATEST
collapseOrderAuthorityNo-受理局优先级数组(仅 collapseBy=AUTHORITY 时有效),按输入顺序保留对应专利
Sort object
fieldMeaning
PBDT_YEARMONTHDAYPublication date
APD_YEARMONTHDAYApplication date
ISDIssue / grant date
SCOREQuery relevance

order: DESC or ASC. Example: [{"field":"SCORE","order":"DESC"}].

Collapse (deduplication)
collapseTypeDescription
ALLNo dedup
APNOBy application number
DOCDBBy simple family
INPADOCBy INPADOC family
EXTENDBy PatSnap extended family

collapseBy selects which representative record to keep (APD/PBD/AUTHORITY/SCORE); collapseOrder picks OLDEST or LATEST.

Usage Examples

1. Basic expression search

检索 TACD: virtual reality 的专利,返回 10 条

Action: {"queryText": "TACD: virtual reality", "limit": 10}

2. Sort by relevance

用检索式 TACD: drone AND camera 查专利,按相关性排序

Action: {"queryText": "TACD: drone AND camera", "sort": [{"field": "SCORE", "order": "DESC"}]}

3. Paginate

翻到第 2 页,每页 10 条

Action: {"queryText": "TACD: virtual reality", "offset": 10, "limit": 10}

4. Dedup by DOCDB family

检索 TACD: virtual reality,按简单同族去重,保留最新

Action: {"queryText": "TACD: virtual reality", "collapseType": "DOCDB", "collapseBy": "APD", "collapseOrder": "LATEST"}

Display Rules

  1. Present results as a table: show pn, title, apdt/pbdt (format as dates), inventor, currentAssignee, authority per item.
  2. Show totals: always state allRecordsCount (total hits) and the current page range (offset–offset+limit).
  3. Default sort: if the user does not specify a sort, actively inject {"field": "SCORE", "order": "DESC"} so results are relevance-ordered; respect any sort the user explicitly requests.
  4. Large result sets: present a summary table first, note the total, and offer to expand specific patents.
  5. Expand via sibling skills: to get full metadata for a patent, direct the user to linkfox-zhihuiya-bibliography / linkfox-zhihuiya-simple-bibliography; do not re-query this search skill for details.
  6. No fabrication: only display fields actually present in the response; never invent titles, dates, or assignees not returned.
Show full SKILL.md (321 more words)Show less

Important Limitations

  • queryText is required and must be a valid Analytics expression. Missing it returns errcode 400.
  • Paging ceiling: limit + offset must be ≤ 20000; limit max 1000; offset max 19999.
  • List-only output: this skill returns patentId + pn (and basic fields). Full bibliographic/full-text/legal data must be fetched via dedicated linkfox-zhihuiya-* skills.
  • No auto-retry on empty/error: if the query returns no hits or an error, do not automatically swap keywords or rewrite the expression; confirm with the user first (each call costs credits).
  • Permission/quota: a 501 "No permission or API package quota" response means the current key lacks the query-search permission/quota. This is a permission/package issue (not merely low balance) and cannot be resolved by recharging alone — do not retry; surface it to the user to open/enable the query-search API package.

User Expression & Scenario Quick Reference

Applicable — Find patents by query expression:

User SaysScenario
"检索 TACD: virtual reality 的专利"Basic expression search
"用检索式查虚拟现实相关专利"Expression search
"检索式:TAC AND camera"Boolean expression
"按公开日排序检索"Sorted search
"按简单同族去重"Deduplicated search
"翻到第 2 页"Pagination

Not applicable — Needs beyond expression search:

  • Bibliographic detail of a known patent ID/number (use linkfox-zhihuiya-bibliography)
  • Image-based patent search (use linkfox-zhihuiya-patent-image-search)
  • Legal status / family / full-text / PDF (use dedicated linkfox-zhihuiya-* skills)

Boundary judgment: When the user already has a patent ID or publication number and wants its metadata → use the bibliography skill. When the user wants to discover patents matching a query expression → this skill.

算力消耗规则

按动态规则计费:消耗算力 = 3 × 返回data条数。每条为 1 条检索式检索专利结果

重要:本技能的服务按倍数动态计算,返回条数越多消耗越大,必须提醒用户,由用户决定是否继续。优先用较小的 limit 验证检索式命中,确认后再决定是否扩大范围或翻页。

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, visit 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-retrieval-patent-search of linkfox-ai/linkfox-skills.

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

Open the folder on GitHubat commit 38fef04

Compare with similar skills

Linkfox Zhihuiya Retrieval Patent Search next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Linkfox Zhihuiya Retrieval Patent Search compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
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Paper To Cn Patentsnipp-zha/Paper-to-patent-Skill1071 repos~959Automated safety check: PassNone
Patent Examinegfodor/legal-skills393—~4.8kAutomated safety check: PassGPL-3.0
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Questions about Linkfox Zhihuiya Retrieval Patent Search

What does Linkfox Zhihuiya Retrieval Patent Search do?

通过 Analytics 检索式(如 TACD: 关键词)在智慧芽专利数据库中检索专利列表,返回专利ID、公开号及命中总数。当用户提到专利检索式检索、专利表达式搜索、Analytics检索式、TACD检索、专利关键词检索、检索式查专利、专利语义检索、patent expression search, patent query syntax, Analytics query, TACD…. Linkfox Zhihuiya Retrieval Patent Search is an agent skill from linkfox-ai/linkfox-skills.

When should I use Linkfox Zhihuiya Retrieval Patent Search?

Linkfox Zhihuiya Retrieval Patent Search fits situations like: tasks that involve Intellectual property.

How do I install Linkfox Zhihuiya Retrieval Patent Search in Claude Code?

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

How do I install Linkfox Zhihuiya Retrieval Patent Search in Codex?

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

Can I use Linkfox Zhihuiya Retrieval Patent Search 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-retrieval-patent-search -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-retrieval-patent-search, .gemini/skills/linkfox-zhihuiya-retrieval-patent-search, .github/skills/linkfox-zhihuiya-retrieval-patent-search and .opencode/skills/linkfox-zhihuiya-retrieval-patent-search in your project.

What does Linkfox Zhihuiya Retrieval Patent Search need to run?

Going by SKILL.md and its folder, Linkfox Zhihuiya Retrieval Patent Search 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 Retrieval Patent Search 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 Retrieval Patent Search 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 Retrieval Patent Search use?

Linkfox Zhihuiya Retrieval Patent Search 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 Retrieval Patent Search use?

About 2.3k tokens (SKILL.md is roughly 9.2k 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 2.2k tokens, read only when the agent opens those files.

What are the alternatives to Linkfox Zhihuiya Retrieval Patent Search?

Skills that share tags, products or a category with Linkfox Zhihuiya Retrieval Patent Search: Paper to Chinese Patent Drafter (Yuan1z0825/nature-skills, 47k stars), Paper To Cn Patent (snipp-zha/Paper-to-patent-Skill, 107 stars), Patent Examine (gfodor/legal-skills, 393 stars) and Patent Audit (gfodor/legal-skills, 393 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Linkfox Zhihuiya Retrieval Patent Search?

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.