Agent skill

Linkfox Zhihuiya Simple Bibliography

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

从智慧芽专利数据库查询专利简要著录(书目)数据。当用户提到专利著录信息查询、专利基本信息获取、专利书目数据、专利公开详情、按专利号查询发明人、专利申请人信息、专利摘要获取、专利分类号(IPC/CPC)、专利引用查询或任何通过专利ID、公开号检索结构化元数据的请求、patent brief bibliography, patent basic info, patent number…

MITAuto-check passedLegal & Compliance

Install Linkfox Zhihuiya Simple Bibliography

skills CLI
$ npx skills add linkfox-ai/linkfox-skills --skill linkfox-zhihuiya-simple-bibliography -a claude-code

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

GitHub CLI
$ gh skill install linkfox-ai/linkfox-skills linkfox-zhihuiya-simple-bibliography --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-simple-bibliography .claude/skills/linkfox-zhihuiya-simple-bibliography && 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-simple-bibliography
GitHub stars
107
Used in
1 other repo
Token cost
~2.4k tokens
SKILL.md length
944 words
Files
5 (incl. scripts, references)
Skills in repo
177
Repo updated
First seen
Licence
MIT

At a glance

从智慧芽专利数据库查询专利简要著录(书目)数据。当用户提到专利著录信息查询、专利基本信息获取、专利书目数据、专利公开详情、按专利号查询发明人、专利申请人信息、专利摘要获取、专利分类号(IPC/CPC)、专利引用查询或任何通过专利ID、公开号检索结构化元数据的请求、patent brief bibliography, patent basic info, patent number…

  • Works in 6 steps: Present data clearly: Show bibliographic… → Selective display: When results contain… → List fields: For array fields… → …
  • Tasks that involve Citation management
  • SKILL.md covers Core Concepts, Parameter Guide, Response Data Fields and 调用方式, 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 Simple Bibliography is an agent skill from linkfox-ai/linkfox-skills. 从智慧芽专利数据库查询专利简要著录(书目)数据。当用户提到专利著录信息查询、专利基本信息获取、专利书目数据、专利公开详情、按专利号查询发明人、专利申请人信息、专利摘要获取、专利分类号(IPC/CPC)、专利引用查询或任何通过专利ID、公开号检索结构化元数据的请求、patent brief bibliography, patent basic info, patent number lookup, patent abstract, PatSnap, patent metadata时触发此技能。即使用户未明确提及"智慧芽"或"著录信息",只要其需求涉及查询特定专利的核心著录字段,也应触发此技能。

Its SKILL.md is about 2.4k 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 Citation management and Intellectual property. The licence is MIT.

When your agent uses it

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

Example prompts

  • “/linkfox-zhihuiya-simple-bibliography”

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 clearly: Show bibliographic results in well-structured tables or grouped sections. For a single patent, use a key-value…
  2. Selective display: When results contain many fields, prioritize showing title, publication number, applicants, inventors, application…
  3. List fields: For array fields (inventors, applicants, assignees, classification codes, citations), present them as comma-separated values…
  4. Empty fields: Omit fields that are null or empty from the display rather than showing blank entries.
  5. Error handling: When a query fails, explain the reason based on the error message and suggest the user verify the patent number or ID…
  6. Batch result notice: When querying many patents at once, remind the user that the maximum is 100 per request.

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 Simple Bibliography loads about 2.4k tokens when it runs, and up to ~4.2k if it reads all its reference files. Until then it costs about 84 tokens; SKILL.md has 944 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~84
When it runs · the whole SKILL.md, loaded when a task matches
~2.4k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~4.2k

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). 944 words, ~2,360 tokens.

Download SKILL.mdSave it as .claude/skills/linkfox-zhihuiya-simple-bibliography/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.
name
linkfox-zhihuiya-simple-bibliography
description
从智慧芽专利数据库查询专利简要著录(书目)数据。当用户提到专利著录信息查询、专利基本信息获取、专利书目数据、专利公开详情、按专利号查询发明人、专利申请人信息、专利摘要获取、专利分类号(IPC/CPC)、专利引用查询或任何通过专利ID、公开号检索结构化元数据的请求、patent brief bibliography, patent basic info, patent number lookup, patent abstract, PatSnap, patent metadata时触发此技能。即使用户未明确提及"智慧芽"或"著录信息",只要其需求涉及查询特定专利的核心著录字段,也应触发此技能。

Zhihuiya Patent Simple Bibliography

This skill guides you on how to query simple bibliographic data for patents using the Zhihuiya patent database, helping users retrieve structured patent metadata efficiently.

Core Concepts

The Zhihuiya Simple Bibliography tool retrieves basic bibliographic (front-page) information for patents. Given one or more patent IDs or publication numbers, it returns structured metadata including title, abstract, applicants, inventors, assignees, classification codes, filing dates, priority claims, and citation references.

Lookup modes: You can look up patents by either patentId (Zhihuiya internal patent ID) or patentNumber (public publication/grant number). If both are supplied, patentId takes priority. Multiple values are separated by commas, with a maximum of 100 per request.

Parameter Guide

ParameterTypeRequiredDescription
patentIdstringConditionallyZhihuiya internal patent ID. Comma-separated for multiple values, max 100. At least one of patentId or patentNumber must be provided.
patentNumberstringConditionallyPublic publication/grant number (e.g., US11234567B2, CN115000000A). Comma-separated for multiple values, max 100. At least one of patentId or patentNumber must be provided.

Priority rule: When both patentId and patentNumber are present, the API uses patentId and ignores patentNumber.

Response Data Fields

FieldAPI NameDescription
Patent IDpatentIdZhihuiya internal patent identifier
TitletitlePatent title
AbstractabstractContentPatent abstract text
Publication NumberpublicationNumberPublication number
Publication/Grant NumberpnFull publication/grant number
Country CodecountryCountry code of the patent
Publication CountrypublicationCountryCountry where the patent was published
Publication DatepublicationDatePublication date
Publication KindpublicationKindKind code of the publication
Patent TypepatentTypeType of patent (e.g., invention, utility model, design)
Kind CodekindPatent kind code
Application NumberapplicationNoApplication number
Application DateapplicationDateApplication filing date
ApplicantsapplicantsList of applicants
InventorsinventorsList of inventors
AssigneesassigneesList of patent assignees/owners
Assignee AddressesassigneeAddressesList of assignee addresses
IPC MainipcMainMain IPC classification code
IPC FurtheripcFurtherAdditional IPC classification codes
CPC MaincpcMainMain CPC classification code
CPC FurthercpcFurtherAdditional CPC classification codes
LOClocLocarno classification codes (design patents)
GBCgbcGBC classification codes
Priority ClaimspriorityClaimsList of priority claim entries
PCT Application NopctApplicationNoPCT international application number
PCT Filing DatepctFilingDatePCT international filing date
PCT Entry DatepctEntryDatePCT national phase entry date
Cited PatentscitedPatentsList of cited patent references
Cited Non-PatentscitedNonPatentsList of cited non-patent literature

调用方式

  • API 端点:POST /zhihuiya/simpleBibliography(完整参数/响应/错误码见 references/api.md)
  • Python 脚本:python scripts/zhihuiya_simple_bibliography.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-simple-bibliography-<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。

Usage Examples

1. Look up a single patent by publication number

User: "Show me the bibliographic info for patent US11234567B2."
Action: Call with patentNumber = "US11234567B2"

2. Look up multiple patents by publication number

User: "Get the basic info for CN115000000A, EP4000000A1, and JP2023100000A."
Action: Call with patentNumber = "CN115000000A,EP4000000A1,JP2023100000A"

3. Look up patents by Zhihuiya patent ID

User: "Retrieve bibliography for patent IDs abc123 and def456."
Action: Call with patentId = "abc123,def456"

4. Retrieve inventor and applicant information

User: "Who are the inventors and applicants for patent US20230001234A1?"
Action: Call with patentNumber = "US20230001234A1", then extract the inventors and applicants fields from the response.

5. Check patent classification codes

User: "What IPC and CPC codes does patent EP3999999B1 have?"
Action: Call with patentNumber = "EP3999999B1", then present ipcMain, ipcFurther, cpcMain, and cpcFurther from the response.

6. Get patent abstract and citation references

User: "Show me the abstract and cited patents for CN114000000B."
Action: Call with patentNumber = "CN114000000B", then display abstractContent and citedPatents.
Show full SKILL.md (452 more words)Show less

Display Rules

  1. Present data clearly: Show bibliographic results in well-structured tables or grouped sections. For a single patent, use a key-value layout. For multiple patents, use a table with the most relevant columns.
  2. Selective display: When results contain many fields, prioritize showing title, publication number, applicants, inventors, application date, publication date, IPC/CPC main codes, and abstract. Show additional fields only when the user specifically asks.
  3. List fields: For array fields (inventors, applicants, assignees, classification codes, citations), present them as comma-separated values or bulleted lists depending on length.
  4. Empty fields: Omit fields that are null or empty from the display rather than showing blank entries.
  5. Error handling: When a query fails, explain the reason based on the error message and suggest the user verify the patent number or ID format.
  6. Batch result notice: When querying many patents at once, remind the user that the maximum is 100 per request.

Important Limitations

  • Maximum batch size: Up to 100 patent IDs or publication numbers per request.
  • At least one identifier required: Either patentId or patentNumber must be provided; omitting both will cause an error.
  • patentId takes priority: If both parameters are supplied, only patentId is used.
  • Data scope: This tool returns simple bibliographic data only. It does not return full-text claims, detailed descriptions, legal status, or patent family information.

User Expression & Scenario Quick Reference

Applicable -- Patent bibliographic data retrieval:

User SaysScenario
"Look up patent XX" / "Get info for patent XX"Single patent bibliography lookup
"Who invented patent XX" / "Who is the applicant"Inventor / applicant retrieval
"What's the IPC code for XX" / "Classification of XX"Classification code lookup
"Show me the abstract of XX"Abstract retrieval
"When was patent XX filed" / "Publication date of XX"Date information lookup
"What patents does XX cite"Citation reference lookup
"Get bibliographic data for these patents: A, B, C"Batch bibliography query
"Patent basic info" / "Patent front page data"General bibliography retrieval

Not applicable -- Needs beyond simple bibliographic data:

  • Full-text patent claims or detailed description
  • Patent legal status or prosecution history
  • Patent family / equivalents analysis
  • Patent valuation or landscaping
  • Freedom-to-operate or infringement analysis
  • Patent search by keyword or semantic query (this tool requires specific patent identifiers)

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 条简版专利著录项结果

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-simple-bibliography of linkfox-ai/linkfox-skills.

  • SKILL.md
  • references/api.md
  • references/onboarding.md
  • scripts/onboarding.py
  • scripts/zhihuiya_simple_bibliography.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 Simple Bibliography

What does Linkfox Zhihuiya Simple Bibliography do?

从智慧芽专利数据库查询专利简要著录(书目)数据。当用户提到专利著录信息查询、专利基本信息获取、专利书目数据、专利公开详情、按专利号查询发明人、专利申请人信息、专利摘要获取、专利分类号(IPC/CPC)、专利引用查询或任何通过专利ID、公开号检索结构化元数据的请求、patent brief bibliography, patent basic info, patent number…. Linkfox Zhihuiya Simple Bibliography is an agent skill from linkfox-ai/linkfox-skills.

When should I use Linkfox Zhihuiya Simple Bibliography?

Linkfox Zhihuiya Simple Bibliography fits situations like: tasks that involve Citation management; tasks that involve Intellectual property.

How do I install Linkfox Zhihuiya Simple Bibliography in Claude Code?

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

How do I install Linkfox Zhihuiya Simple Bibliography in Codex?

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

Can I use Linkfox Zhihuiya Simple Bibliography 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-simple-bibliography -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-simple-bibliography, .gemini/skills/linkfox-zhihuiya-simple-bibliography, .github/skills/linkfox-zhihuiya-simple-bibliography and .opencode/skills/linkfox-zhihuiya-simple-bibliography in your project.

What does Linkfox Zhihuiya Simple Bibliography need to run?

Going by SKILL.md and its folder, Linkfox Zhihuiya Simple Bibliography 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 Simple Bibliography 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 Simple Bibliography 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 Simple Bibliography use?

Linkfox Zhihuiya Simple Bibliography 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 Simple Bibliography use?

About 2.4k tokens (SKILL.md is roughly 9.4k 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 1.8k tokens, read only when the agent opens those files.

What are the alternatives to Linkfox Zhihuiya Simple Bibliography?

Skills that share tags, products or a category with Linkfox Zhihuiya Simple Bibliography: 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 Simple Bibliography?

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.