Patent Examine
gfodor/legal-skills
Iteratively examine and revise a draft U.S. An agent skill from gfodor/legal-skills.
通过专利ID或公开号查询智慧芽专利数据库中的专利著录（书目）信息。当用户提到专利著录信息查询、专利书目信息、专利申请人查询、专利发明人查询、专利分类号、专利摘要获取、专利引用分析、专利优先权主张、专利申请引用、专利审查员信息、patent bibliographic data, inventor lookup, applicant lookup, patent classification…
Install Linkfox Zhihuiya Bibliography
$ npx skills add linkfox-ai/linkfox-skills --skill linkfox-zhihuiya-bibliography -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install linkfox-ai/linkfox-skills linkfox-zhihuiya-bibliography --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ 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-bibliography .claude/skills/linkfox-zhihuiya-bibliography && rm -rf skills-srcUse ~/.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/
Install the "linkfox-zhihuiya-bibliography" agent skill from https://github.com/linkfox-ai/linkfox-skills/tree/main/skills/linkfox-zhihuiya-bibliography into .claude/skills/linkfox-zhihuiya-bibliography/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkfox-zhihuiya-bibliography", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/linkfox-ai/linkfox-skills/tree/main/skills/linkfox-zhihuiya-bibliographyType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add linkfox-ai/linkfox-skills --skill linkfox-zhihuiya-bibliography -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install linkfox-ai/linkfox-skills linkfox-zhihuiya-bibliography --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/linkfox-ai/linkfox-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/linkfox-zhihuiya-bibliography .agents/skills/linkfox-zhihuiya-bibliography && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "linkfox-zhihuiya-bibliography" agent skill from https://github.com/linkfox-ai/linkfox-skills/tree/main/skills/linkfox-zhihuiya-bibliography into .agents/skills/linkfox-zhihuiya-bibliography/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkfox-zhihuiya-bibliography", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add linkfox-ai/linkfox-skills --skill linkfox-zhihuiya-bibliography -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install linkfox-ai/linkfox-skills linkfox-zhihuiya-bibliography --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/linkfox-ai/linkfox-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/linkfox-zhihuiya-bibliography .cursor/skills/linkfox-zhihuiya-bibliography && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "linkfox-zhihuiya-bibliography" agent skill from https://github.com/linkfox-ai/linkfox-skills/tree/main/skills/linkfox-zhihuiya-bibliography into .cursor/skills/linkfox-zhihuiya-bibliography/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkfox-zhihuiya-bibliography", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/linkfox-ai/linkfox-skills.git --path skills/linkfox-zhihuiya-bibliography--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add linkfox-ai/linkfox-skills --skill linkfox-zhihuiya-bibliography -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install linkfox-ai/linkfox-skills linkfox-zhihuiya-bibliography --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/linkfox-ai/linkfox-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/linkfox-zhihuiya-bibliography .gemini/skills/linkfox-zhihuiya-bibliography && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "linkfox-zhihuiya-bibliography" agent skill from https://github.com/linkfox-ai/linkfox-skills/tree/main/skills/linkfox-zhihuiya-bibliography into .gemini/skills/linkfox-zhihuiya-bibliography/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkfox-zhihuiya-bibliography", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install linkfox-ai/linkfox-skills linkfox-zhihuiya-bibliographyInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add linkfox-ai/linkfox-skills --skill linkfox-zhihuiya-bibliography -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/linkfox-ai/linkfox-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/linkfox-zhihuiya-bibliography .github/skills/linkfox-zhihuiya-bibliography && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "linkfox-zhihuiya-bibliography" agent skill from https://github.com/linkfox-ai/linkfox-skills/tree/main/skills/linkfox-zhihuiya-bibliography into .github/skills/linkfox-zhihuiya-bibliography/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkfox-zhihuiya-bibliography", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add linkfox-ai/linkfox-skills --skill linkfox-zhihuiya-bibliography -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install linkfox-ai/linkfox-skills linkfox-zhihuiya-bibliography --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/linkfox-ai/linkfox-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/linkfox-zhihuiya-bibliography .opencode/skills/linkfox-zhihuiya-bibliography && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "linkfox-zhihuiya-bibliography" agent skill from https://github.com/linkfox-ai/linkfox-skills/tree/main/skills/linkfox-zhihuiya-bibliography into .opencode/skills/linkfox-zhihuiya-bibliography/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkfox-zhihuiya-bibliography", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
linkfox-zhihuiya-bibliography- GitHub stars
- 107
- Used in
- 1 other repo
- Token cost
- ~2.3k tokens
- SKILL.md length
- 919 words
- Files
- 5 (incl. scripts, references)
- Skills in repo
- 177
- Repo updated
- First seen
- Licence
- MIT
At a glance
通过专利ID或公开号查询智慧芽专利数据库中的专利著录（书目）信息。当用户提到专利著录信息查询、专利书目信息、专利申请人查询、专利发明人查询、专利分类号、专利摘要获取、专利引用分析、专利优先权主张、专利申请引用、专利审查员信息、patent bibliographic data, inventor lookup, applicant lookup, patent classification…
- Works in 6 steps: Present data clearly: Show query results… → Respect the query scope: Only display… → Patent type labels: Translate patentType… → …
- Tasks that involve Citation management
- SKILL.md covers Core Concepts, Data Fields, 调用方式 and 解决认证和算力问题, plus 5 more sections
- Runs Python scripts from its folder; calls python; needs LINKFOX_AGENT_API_KEY and LINKFOXAGENT_API_KEY
What it does
Linkfox Zhihuiya Bibliography is an agent skill from linkfox-ai/linkfox-skills. 通过专利ID或公开号查询智慧芽专利数据库中的专利著录（书目）信息。当用户提到专利著录信息查询、专利书目信息、专利申请人查询、专利发明人查询、专利分类号、专利摘要获取、专利引用分析、专利优先权主张、专利申请引用、专利审查员信息、patent bibliographic data, inventor lookup, applicant lookup, patent classification, patent metadata, PatSnap, patent citations时触发此技能。即使用户未明确提及"著录信息"，只要其需求涉及通过专利ID或公开号查询特定专利的详细元数据，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 Citation management, Intellectual property and Recruiting and HR. The licence is MIT.
When your agent uses it
- Tasks that involve Citation management
- Tasks that involve Intellectual property
- Tasks that involve Recruiting and HR
Example prompts
- “/linkfox-zhihuiya-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.
- Present data clearly: Show query results in well-structured tables or organized sections. For each patent, highlight the most commonly…
- Respect the query scope: Only display the fields the user asked about. If they asked for "inventors", do not dump the entire bibliography…
- Patent type labels: Translate patentType codes into human-readable labels (APPLICATION = Invention Application, PATENT = Granted…
- Multi-patent results: When results contain multiple patents, use a summary table first, then expand details per patent if the user wants…
- Error handling: When a query returns an error or empty results, explain clearly and suggest the user verify their patent ID or publication…
- No subjective analysis: Present factual bibliographic data without speculative legal or commercial interpretations.
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_KEYLINKFOXAGENT_API_KEY
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Linkfox Zhihuiya Bibliography loads about 2.3k tokens when it runs, and up to ~4.1k if it reads all its reference files. Until then it costs about 83 tokens; SKILL.md has 919 words of instructions outside code blocks.
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). 919 words, ~2,279 tokens.
Download SKILL.mdSave it as
.claude/skills/linkfox-zhihuiya-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-bibliography
- description
- 通过专利ID或公开号查询智慧芽专利数据库中的专利著录（书目）信息。当用户提到专利著录信息查询、专利书目信息、专利申请人查询、专利发明人查询、专利分类号、专利摘要获取、专利引用分析、专利优先权主张、专利申请引用、专利审查员信息、patent bibliographic data, inventor lookup, applicant lookup, patent classification, patent metadata, PatSnap, patent citations时触发此技能。即使用户未明确提及"著录信息"，只要其需求涉及通过专利ID或公开号查询特定专利的详细元数据，也应触发此技能。
Zhihuiya Patent Bibliography
This skill guides you on how to query patent bibliography (bibliographic) data from the Zhihuiya patent database, helping users retrieve detailed metadata for specific patents.
Core Concepts
Patent bibliography data (also called bibliographic data) is the structured metadata associated with a patent document. It includes the patent title, applicants, inventors, classification codes, priority claims, cited references, abstracts, and more. This tool allows querying by patent ID or publication number, returning comprehensive bibliographic records for up to 100 patents per request.
Patent types: The patentType field indicates the type of patent document:
APPLICATION-- Invention application (published but not yet granted)PATENT-- Granted invention patentUTILITY-- Utility modelDESIGN-- Design patent
Data Fields
| Field | API Name | Description |
|---|---|---|
| Patent ID | patentId | Internal patent identifier |
| Publication Number | pn | Publication/announcement number |
| Invention Title | inventionTitle | Patent title with language info |
| Abstracts | abstracts | Patent abstract text |
| Patent Type | patentType | APPLICATION, PATENT, UTILITY, or DESIGN |
| Applicants | applicants | Original applicant(s) |
| Assignees | assignees | Current patent holder(s) / assignee(s) |
| Inventors | inventors | Inventor(s) listed on the patent |
| Agents | agents | Patent attorney / agent(s) |
| Agency | agency | Filing agency / patent firm |
| Examiners | examiners | Patent examiner(s) |
| Priority Claims | priorityClaims | Priority right declarations |
| Application Reference | applicationReference | Application filing data |
| Publication Reference | publicationReference | Publication data |
| Dates of Public Availability | datesOfPublicAvailability | Public availability dates |
| IPC Classification | classificationIpcr | International Patent Classification |
| CPC Classification | classificationCpc | Cooperative Patent Classification |
| UPC Classification | classificationUpc | US Patent Classification |
| LOC Classification | classificationLoc | Locarno Classification (designs) |
| FI Classification | classificationFi | FI classification codes (Japan) |
| F-term Classification | classificationFterm | F-term codes (Japan) |
| GBC Classification | classificationGbc | GBC classification |
| Cited Patents | referenceCitedPatents | Patent documents cited as references |
| Cited Non-Patent Literature | referenceCitedOthers | Non-patent literature cited |
| Related Documents | relatedDocuments | Divisional / continuation application info |
| PCT Filing Data | pctOrRegionalFilingData | PCT or regional phase filing data |
| PCT Publishing Data | pctOrRegionalPublishingData | PCT or regional phase publication data |
| Estimated Expiry Date | exdt | Estimated patent expiration date (Zhihuiya) |
调用方式
- API 端点：
POST /zhihuiya/bibliography（完整参数/响应/错误码见references/api.md） - Python 脚本：
python scripts/zhihuiya_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-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。
Parameter Guide
The tool accepts two parameters. At least one must be provided; if both are supplied, patentId takes priority.
| Parameter | When to Use | Format |
|---|---|---|
patentId | When the user provides an internal Zhihuiya patent ID | Comma-separated string, up to 100 IDs |
patentNumber | When the user provides a publication/announcement number | Comma-separated string, up to 100 numbers |
Tips for Identifying Input Type
- If the user provides something like
US10123456B2,CN112345678A,EP3456789B1, orWO2023123456A1, treat it as a publication number and usepatentNumber. - If the user provides a purely numeric or opaque identifier that does not match standard publication number patterns, treat it as a patent ID and use
patentId. - When the user provides multiple patents, join them with commas (no spaces around commas).
Usage Examples
1. Look up a single patent by publication number
User: "Show me the bibliography for US10123456B2"
Action: Call with patentNumber = "US10123456B2"2. Look up multiple patents by publication number
User: "Get bibliographic data for CN112345678A, EP3456789B1, and US20210012345A1"
Action: Call with patentNumber = "CN112345678A,EP3456789B1,US20210012345A1"3. Look up a patent by internal ID
User: "Query bibliography for patent ID 8fa3b2c1-xxxx-xxxx-xxxx-xxxxxxxxxxxx"
Action: Call with patentId = "8fa3b2c1-xxxx-xxxx-xxxx-xxxxxxxxxxxx"4. Batch lookup of patents
User: "I have a list of 20 publication numbers, look up all their inventors and assignees"
Action: Call with patentNumber = "<comma-separated list>"
Then extract and present inventors and assignees from the results.Show full SKILL.md (403 more words)Show less
Display Rules
- Present data clearly: Show query results in well-structured tables or organized sections. For each patent, highlight the most commonly needed fields: title, applicants/assignees, inventors, filing/publication dates, classification codes, and abstract.
- Respect the query scope: Only display the fields the user asked about. If they asked for "inventors", do not dump the entire bibliography unless requested.
- Patent type labels: Translate
patentTypecodes into human-readable labels (APPLICATION = Invention Application, PATENT = Granted Invention, UTILITY = Utility Model, DESIGN = Design Patent). - Multi-patent results: When results contain multiple patents, use a summary table first, then expand details per patent if the user wants more.
- Error handling: When a query returns an error or empty results, explain clearly and suggest the user verify their patent ID or publication number.
- No subjective analysis: Present factual bibliographic data without speculative legal or commercial interpretations.
User Expression & Scenario Quick Reference
Applicable -- Patent bibliography / metadata lookups:
| User Says | Scenario |
|---|---|
| "Look up patent info for XX" | Single patent bibliography |
| "Who are the inventors of patent XX" | Inventor lookup |
| "Who owns patent XX", "current assignee" | Assignee / applicant query |
| "What IPC/CPC class is patent XX" | Classification lookup |
| "Show me the abstract of patent XX" | Abstract retrieval |
| "What patents does XX cite" | Citation analysis |
| "When does patent XX expire" | Expiry date query |
| "Get bibliography for these patents: A, B, C" | Batch lookup |
| "Patent details", "patent metadata" | General bibliography |
Not applicable -- Needs beyond patent bibliography:
- Full-text patent search by keyword or semantic query
- Patent landscape / analytics reports
- Patent valuation or legal status tracking
- Freedom-to-operate or infringement analysis
- Patent family tree exploration (unless specific publication numbers are given)
Boundary judgment: When users say "find patents about X" or "search for patents in field Y", that is a patent search task, not a bibliography lookup. This skill only applies when the user already has a patent ID or publication number and wants to retrieve its metadata.
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:
- 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.
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© 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-bibliography of linkfox-ai/linkfox-skills.
- SKILL.md
- references/api.md
- references/onboarding.md
- scripts/onboarding.py
- scripts/zhihuiya_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.
Compare with similar skills
Linkfox Zhihuiya Bibliography 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Linkfox Zhihuiya Bibliography this skilllinkfox-ai/linkfox-skills | 107 | 1 repos | ~2.3k | Automated safety check: Pass | MIT | |
| Patent Examinegfodor/legal-skills | 393 | — | ~4.8k | Automated safety check: Pass | GPL-3.0 | |
| Researchalirezarezvani/claude-skills | 28k | — | ~4.3k | Automated safety check: Pass | MIT | |
| Ccf Literature Searchermikubaka88/CCFA-Skills | 3k | — | ~3.1k | Automated safety check: Pass | MIT | |
| Aminer MCP ResearchDrchronx/ai-agent-research-starter-kit | 139 | — | ~1.1k | Automated safety check: Pass | Custom licence | |
| Ijoc Literature Positioningbrycewang-stanford/Awesome-Journal-Skills | 1.2k | — | ~1.4k | Automated safety check: Pass | MIT |
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linkfox-ai/linkfox-skills
1688平台以图搜图，通过商品图片精准检索外观相似或同款的1688货源，返回标题、价格、起批量、月销量、复购率、交易评分等核心数据。当用户提到1688以图搜图、1688找货源、以图找同款、跨境找工厂、1688识图、图片找货源、找相似货源、image search 1688、find supplier by…
Linkfox Aba Intelligent Query
linkfox-ai/linkfox-skills
亚马逊ABA（品牌分析）搜索词数据的查询与分析，涵盖15个站点近3年的周维度数据。当用户提到ABA数据、亚马逊搜索词分析、关键词挖掘、搜索排名趋势、市场机会分析、季节性关键词、高点击低转化分析、蓝海词发现、竞品关键词分析、ABA data, search term report, keyword mining, search ranking trends, blue ocean…
Linkfox Amazon Alexa Search
linkfox-ai/linkfox-skills
通过亚马逊前台的 Alexa 购物助手发起自然语言问答，获取与问题相关的导购回答、推荐商品分组、ASIN 列表，以及可继续追问的问题。每次调用仅支持 1 条 prompt，如需追问须由 agent 总结上下文后拼接新问题发起新请求。可用 url 补充亚马逊页面上下文。当用户提到亚马逊 Alexa、Alexa 购物助手、亚马逊智能助手、AI…
Linkfox Amazon Opportunity Search By Metrics
linkfox-ai/linkfox-skills
亚马逊反向选品：基于历史商业洞察报告沉淀的指标数据池，按 30+ 项商业维度（市场规模与增长、价格区间与档位份额、竞争密度与头部集中度、人群画像如年龄/性别/收入、评论卖点与痛点等）反向筛选亚马逊赛道与关键词。当用户提到反向选品、指标筛选、细分市场反查、蓝海赛道挖掘、低竞争赛道、新人友好赛道、品牌分散市场、痛点切入、卖点反查、定价档位机会、人群画像选品、Amazon niche reverse…
Linkfox Amazon Product Detail
linkfox-ai/linkfox-skills
通过ASIN获取亚马逊商品详细信息，包括标题、图片、五点描述、规格参数、A+页面、价格、评分评论、变体等；可在取得原始HTML时尝试提取Item Highlights（商品亮点）。当用户提到亚马逊商品详情、ASIN查询、商品页面数据、Listing分析、五点描述提取、Item…
Linkfox Amazon Reviews List
linkfox-ai/linkfox-skills
按ASIN获取并分析亚马逊商品评论，支持15个站点(含美国站)，按星级筛选评论。当用户提到亚马逊评论、美国站评论、商品评价、买家投诉、差评、好评、星级评分、评论分析、评论情感、产品改良建议、Vine评论、已验证购买评论、竞品评论研究、Amazon reviews, US reviews, Amazon.com reviews, product feedback, negative review…
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Questions about Linkfox Zhihuiya Bibliography
What does Linkfox Zhihuiya Bibliography do?
通过专利ID或公开号查询智慧芽专利数据库中的专利著录（书目）信息。当用户提到专利著录信息查询、专利书目信息、专利申请人查询、专利发明人查询、专利分类号、专利摘要获取、专利引用分析、专利优先权主张、专利申请引用、专利审查员信息、patent bibliographic data, inventor lookup, applicant lookup, patent classification…. Linkfox Zhihuiya Bibliography is an agent skill from linkfox-ai/linkfox-skills.
When should I use Linkfox Zhihuiya Bibliography?
Linkfox Zhihuiya Bibliography fits situations like: tasks that involve Citation management; tasks that involve Intellectual property; tasks that involve Recruiting and HR.
How do I install Linkfox Zhihuiya Bibliography in Claude Code?
Run `npx skills add linkfox-ai/linkfox-skills --skill linkfox-zhihuiya-bibliography -a claude-code`. Or copy the skill folder (skills/linkfox-zhihuiya-bibliography in linkfox-ai/linkfox-skills) into .claude/skills/linkfox-zhihuiya-bibliography in your project. Claude Code loads it when a task matches its description.
How do I install Linkfox Zhihuiya Bibliography in Codex?
Run `npx skills add linkfox-ai/linkfox-skills --skill linkfox-zhihuiya-bibliography -a codex`. Or copy the skill folder (skills/linkfox-zhihuiya-bibliography in linkfox-ai/linkfox-skills) into .agents/skills/linkfox-zhihuiya-bibliography in your project. Codex loads it when a task matches its description.
Can I use Linkfox Zhihuiya 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-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-bibliography, .gemini/skills/linkfox-zhihuiya-bibliography, .github/skills/linkfox-zhihuiya-bibliography and .opencode/skills/linkfox-zhihuiya-bibliography in your project.
What does Linkfox Zhihuiya Bibliography need to run?
Going by SKILL.md and its folder, Linkfox Zhihuiya 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 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 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 Bibliography use?
Linkfox Zhihuiya 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 Bibliography use?
About 2.3k tokens (SKILL.md is roughly 9.1k 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 1.9k tokens, read only when the agent opens those files.
What are the alternatives to Linkfox Zhihuiya Bibliography?
Skills that share tags, products or a category with Linkfox Zhihuiya Bibliography: Patent Examine (gfodor/legal-skills, 393 stars), Research (alirezarezvani/claude-skills, 28k stars), Ccf Literature Searcher (mikubaka88/CCFA-Skills, 3k stars) and Aminer MCP Research (Drchronx/ai-agent-research-starter-kit, 139 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Linkfox Zhihuiya 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.