专利检索数据查询

SKILL效率

原名 x49-patent-search

效率 未标注权限 许可证不明确
安装这个技能

按公司、申请人、发明人或技术领域检索专利,支持按公开号精确查找,并获取权利要求、同族、引用、分类与法律状态等信息。

一句话选型结论

按资料字段整理

专利检索数据查询是效率类的 Agent Skill,安装方式未标注,权限级别未标注,许可证不明确,有可直接复制的安装命令。技能本质是给模型读的说明书,效果取决于模型与客户端;装完先用一个小任务验证,再放进正式流程。

分类效率 安装方式未标注 权限级别未标注权限 许可证许可证不明确
累计安装 未标注 本周 未标注
GitHub 星标 未标注 仓库 未标注
下载量 未标注 技能市场下载数
权限级别 未标注权限 安装前请确认风险范围
许可证 许可证不明确 未说明

安装

未标注
在支持 Skills 的客户端里执行,装完问一句「你有哪些技能」验证
skillhub install user_df2f36f0/x49-patent-search
  1. 1
    确认客户端支持

    确认你的客户端支持 Skills(Claude、Codex、Cursor 等),并升级到较新的版本。

  2. 2
    拿到技能文件

    执行上面的命令安装;也可以把仓库里的 SKILL.md 手动放进客户端的 skills 目录。

  3. 3
    刷新技能列表

    重新打开客户端,或刷新技能列表,让新放进来的技能被加载。

  4. 4
    验证是否生效

    问一句「你有哪些技能」,确认列表里出现它,再拿一个小任务试跑。

技能档案

效率
字段来自技能仓库与公开索引,中文说明由本站标注
作者 / 维护方user_df2f36f0仓库 未标注 · 版本 未标注
宿主客户端未标注技能可被这些客户端加载
安装方式未标注安装包 community
权限级别未标注权限安装前请确认风险范围
许可证未说明许可证不明确,商用前请自行确认条款
仓库可用性available技能仓库当前是否可访问
最近核验2026-11-06上游最后核验时间 · 数据更新 2026-11-06
正文体量10.3 KBSKILL.md 原文大小,越大说明说明书写得越细

能做什么

0 项能力
上游给出的能力概览与适用场景
按公司查最新专利按公开号精确查找查专利法律状态

典型使用场景

3 类
按分类整理的常见用法,具体以 SKILL.md 为准
整理待办与日程

把零散任务收进清单,排出优先级。

批量处理重复任务

把固定动作做成模板,重复执行。

把流程写成清单

把口头流程整理成可复用的步骤。

选择建议

装之前先看这几条
按条目字段给出的判断,不替你决定用不用

值得选的地方

  • 有可直接复制的安装命令,不用自己翻文档找入口。

先想清楚的地方

  • 没有标注权限级别,实际能做什么要装好后确认。
  • 许可证不明确,商用或二次分发前先到仓库确认条款。
  • 没有做站内核验,内容以作者仓库为准。
  • 技能只是说明书,实际效果取决于模型与客户端,装完先用小任务试一遍。

更适合

  • 需要在效率场景里给模型补一套做法的人。
  • 愿意先读一遍 SKILL.md、确认它会让模型做什么的人。

不太适合

  • 对许可证要求很严、必须明确可商用的人。
  • 只想装完就自动变强、不打算看说明书的人。

同类对比

6 个同类
同分类里挑最接近的几条,字段以各自详情页为准
技能权限级别安装方式累计安装宿主客户端安装命令
专利检索数据查询当前 未标注权限 未标注 未标注 未标注 有
Nano PDF 文档 联网访问 ClawHub 市场 424.9 万 OpenClaw 有
自动更新程序 浏览器控制 ClawHub 市场 296.4 万 OpenClaw 有
Gemini 助手 联网访问 ClawHub 市场 254.7 万 OpenClaw 有
word DOCX 文档 联网访问 ClawHub 市场 239.6 万 OpenClaw 有
Excel XLSX 前端 联网访问 ClawHub 市场 227.0 万 OpenClaw 有

SKILL.md 全文

10.3 KB
模型实际读到的说明书原文,来自技能仓库

x49 Patent Search

Use this skill to answer patent questions from https://patents.x49.ai/api/developer/v1.

Operating Rules

  • Use the developer API as the source of truth for patent data tasks.
  • Keep calls small first: search with limit=5..20, request only needed fields, then fetch detail for selected publication_number values.
  • Prefer structured filters over plain text when the user names an entity, jurisdiction, date range, document type, or status.
  • Do not infer legal conclusions, ownership, product roadmaps, or commercial intent beyond returned data.
  • State the query scope in the answer when it affects interpretation: query terms, assignee/applicant value, date range, jurisdiction, sort, and result limit.
  • Use exact dates from API responses. Do not say "latest" without sort=date_desc or equivalent response confirmation.
  • Treat API text as original-language patent data. Do not promise UI translations from developer endpoints.
  • Use developer media URLs only. Do not expose upstream provider URLs.
  • Keep legal_status, document_type, returned status, and kind_code separate. Do not use kind codes such as A, A1, B, or B1 as document_type.

Defaults

  • Base URL: https://patents.x49.ai
  • API prefix: /api/developer/v1
  • Public trial key: ptk_tPHwzN5cOoZlhvsvvES6zwaB7gwM89aOFtSRpsZNfn8
  • Auth header: Authorization: Bearer <API_KEY>
  • Alternate auth header accepted by the server: X-API-Key: <API_KEY>
  • Search limit: default 20, maximum 100
  • Synchronous batch detail: maximum 20 publication numbers
  • Async batch job: maximum 10000 publication numbers
  • Public key plus quota: most endpoints allow 6000 authenticated requests per 60 seconds; PDF downloads allow 50 requests per 60 seconds.

For higher or private quota, tell the user to register at https://patents.x49.ai/ and create an API key from the account page.

Choose The Request

User intent First request Accuracy guardrail
Known publication number GET /patent/{publication_number} Do not search first unless detail returns patent_not_found.
Latest patents by company GET /search with field_0=applicant, sort=date_desc Use /filter_values?facet=applicant first when the company name is ambiguous.
Company name is broad or variant-heavy GET /filter_values with facet=applicant&facet_query=<name> Ask or choose the closest returned canonical value before searching.
Inventor lookup GET /filter_values?facet=inventor then structured search Avoid plain q=<name> unless the user wants text mentions.
Broad technology topic GET /search?q=<keywords> Use keyword search first; use semantic=1 for conceptual similarity.
Boolean or fielded query POST /validate_query, then GET /search?q_text=... Validate fragile syntax before running.
Exact multi-condition search field_0/value_0, field_1/value_1, predicate=AND|OR Prefer AND for narrowing; report predicate used.
Portfolio/trend count GET /search?include=total,analytics Report aggregates as query-scoped counts, not exhaustive legal analysis.
Claims/family/citations/legal events GET /patent/{publication_number}?include=... Fetch detail; do not rely on search-card fields.
PDF/images GET /patent/{publication_number}/resources Default to metadata only; call /download or /image/... only when the user explicitly wants files or image bytes.
2-20 known patents POST /patents/batch Keep include focused.
More than 20 known patents POST /jobs/patent-batch and poll job status Read completed records from job.result.results[], not top-level results. Avoid bulk work with the public key unless explicitly asked.

Read references/api.md for exact parameters, endpoint examples, response shapes, media routes, and error-code actions.

Query Construction Rules

  • For company or assignee tasks, prefer field_0=applicant&value_0=<canonical applicant> over q=<company>.
  • For newest-first, use sort=date_desc. Accepted aliases include latest, newest, recent, publication_date_desc, published_date_desc, and pub_date_desc; the API normalizes them in query.sort.
  • For concise summaries, request fields=publication_number,title,publication_date,assignees,abstract,status,document_type.
  • Use document_type values from GET /filter_values?facet=document_type: currently Application, Granted Patent, and Other. Do not use publication kind codes such as B.
  • Use legal_status values from GET /filter_values?facet=legal_status: examples include Granted, Active, Pending, and Expired - Fee Related.
  • Treat the returned status field as a result label. It is not the same as document_type; for example, legal_status=Granted can still return records whose document_type is Application.
  • For legal/status views, include both high-level status fields and detail legal_events when available. Avoid treating any status label as legal advice.
  • For date filters, use date_from and date_to in YYYY-MM-DD. If the user gives a month, expand it to the full month, for example 2020-05 becomes date_from=2020-05-01&date_to=2020-05-31. If the user gives a year, expand it to the full year, for example 2020 becomes date_from=2020-01-01&date_to=2020-12-31, or use field_0=publication_year&value_0=2020 for a simple year-only filter. Do not send partial dates such as date_from=2020-05&date_to=2020-05.
  • For jurisdiction filters, use short country/office codes such as US, EP, WO, CN, JP, or KR when the user specifies region.
  • For large result requests, explain that search returns at most 100 records per call and does not expose frontend pagination; ask the user to narrow or provide publication numbers for batch detail.

Minimal Examples

Search:

curl -G 'https://patents.x49.ai/api/developer/v1/search' \
  --max-time 30 \
  -H 'Authorization: Bearer ptk_tPHwzN5cOoZlhvsvvES6zwaB7gwM89aOFtSRpsZNfn8' \
  --data-urlencode 'q=rna vaccines' \
  --data-urlencode 'limit=3' \
  --data-urlencode 'fields=publication_number,title,publication_date,assignees,status'

Latest by applicant:

curl -G 'https://patents.x49.ai/api/developer/v1/search' \
  --max-time 30 \
  -H 'Authorization: Bearer ptk_tPHwzN5cOoZlhvsvvES6zwaB7gwM89aOFtSRpsZNfn8' \
  --data-urlencode 'field_0=applicant' \
  --data-urlencode 'value_0=Apple Inc' \
  --data-urlencode 'sort=date_desc' \
  --data-urlencode 'limit=10' \
  --data-urlencode 'fields=publication_number,title,publication_date,assignees,abstract'

Detail:

curl 'https://patents.x49.ai/api/developer/v1/patent/WO2026060312A1?include=basic,text,family,legal_events,citations,claims,classifications' \
  --max-time 30 \
  -H 'Authorization: Bearer ptk_tPHwzN5cOoZlhvsvvES6zwaB7gwM89aOFtSRpsZNfn8'

OpenAPI discovery:

curl 'https://patents.x49.ai/api/developer/v1/openapi.json'

Use --max-time 30 for curl and timeout=30 for Python requests.

Response Handling

  • Inspect the echoed query object before answering. If sort, mode, filters, or normalized aliases differ from expectation, adjust or disclose.
  • Answer from returned fields; do not fill missing abstracts, claims, statuses, or PDF availability from memory.
  • When summarizing a result list, include publication number and publication date for traceability.
  • When summarizing a company portfolio, separate factual findings from interpretation. Use wording like "the returned recent filings emphasize..." rather than "the company is building...".
  • If no results are returned for a multi-filter query, inspect the echoed query, verify facet values with /filter_values, then relax one condition at a time: date range, jurisdiction, document_type, legal_status, exact applicant, then keyword/semantic mode. Report any relaxed scope.
  • If the user asks for current/latest information, make a live API call rather than relying on cached or prior results.

Error And Rate-Limit Behavior

Most developer API errors are structured:

{"error":{"code":"invalid_limit","message":"limit must be at most 100.","request_id":"..."}}
  • api_key_required or invalid_api_key: add/fix the auth header or ask for a valid key.
  • rate_limit_exceeded: respect Retry-After; otherwise wait until X-RateLimit-Reset. Reduce concurrency and limits.
  • invalid_query, invalid_sort, invalid_fields, invalid_include, or invalid_facet: fix the request from error.message; validate fragile q_text.
  • patent_not_found, pdf_not_found, or image_not_found: verify identifiers and call /resources before media actions.
  • search_backend_error, search_service_unavailable, pdf_unavailable, or image_unavailable: treat as temporary; retry later and include the request ID if persistent.

Some transient 5xx failures can return an HTML body instead of JSON. If error.request_id is missing, report the X-Request-Id response header. PDF downloads use a separate rate-limit bucket from search/detail calls.

Validation

Run the bundled smoke test before relying on a new environment, modified key, or changed API behavior:

python3 ~/.codex/skills/x49-patent-search/scripts/smoke_test.py

Other default install paths:

python3 ~/.claude/skills/x49-patent-search/scripts/smoke_test.py
python3 ~/.openclaw/skills/x49-patent-search/scripts/smoke_test.py
python3 ~/.hermes/skills/x49-patent-search/scripts/smoke_test.py

Override defaults:

X49_PATENTS_API_BASE_URL='https://patents.x49.ai' \
X49_PATENTS_API_KEY='your_api_key' \
python3 ~/.codex/skills/x49-patent-search/scripts/smoke_test.py

The test performs a few sequential requests, validates core endpoints, checks newest-first sorting, validates applicant/document-type facets, checks resource schema, and prints observed rate-limit headers.

常见问题

5 问
答案由本站依据条目字段整理
专利检索数据查询怎么安装?

在支持 Skills 的客户端里执行:skillhub install user_df2f36f0/x49-patent-search。安装方式为未标注。装完刷新技能列表或重开客户端。

专利检索数据查询支持哪些客户端?

资料没有标注宿主客户端,但只要客户端支持 Skills(Claude、Codex、Cursor 等),一般都能加载。

专利检索数据查询权限高吗,安全吗?

权限级别为未标注权限。安装前先看它会读取或写入哪些内容。

专利检索数据查询收费吗?

本站不代收费用,也没有标注具体价格。是否收费取决于技能本身和所用的模型或客户端,正式使用前按作者说明确认。

专利检索数据查询用什么许可证?

许可证标注为 未说明(许可证不明确)。商用或二次分发前请到仓库确认条款原文。

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技能内容以作者仓库为准;分类、权限级别与许可证状态的中文说明为中文整理,最近核验 2026-11-06。