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linkfox-zhihuiya-claim-translated

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Updated 10-16 00:00

About this skill

Zhihuiya Patent Claims (Translated)

This skill guides you on how to query translated patent claims from the Zhihuiya (PatSnap) patent database, enabling users to retrieve claim texts in Chinese, English, or Japanese for one or more patents.

Core Concepts

Patent claims define the legal scope of protection granted by a patent. This tool retrieves the translated text of patent claims, supporting three languages: Chinese (cn), English (en), and Japanese (jp). You can look up patents by their internal patent ID or by their publication (announcement) number.

Family patent substitution: When claims are unavailable for a specific patent, the tool can optionally substitute claims from a related family patent. This is controlled by the replaceByRelated parameter.

Data Fields

Field API Name Description Example
Patent ID patentId Internal patent identifier 84a1b2c3-...
Publication Number pn Publication (announcement) number of the patent CN112345678A
Related Publication Number pnRelated Publication number of the substitute family patent (only present when family substitution is used) US20210012345A1
Claims claims Translated patent claim text 1. A method for...

Supported Languages

Code Language
en English (default)
cn Chinese
jp Japanese

Default language is en (English). Use English when the user does not specify a language.

API Usage

This tool calls the LinkFox tool gateway API. See references/api.md for calling conventions, request parameters, and response structure. You can also execute scripts/zhihuiya_claim_translated.py directly to run queries.

Parameter Guide

Patent Identification

You must provide at least one of the following:

  • patentId -- The internal patent ID. When both patentId and patentNumber are provided, patentId takes precedence. Multiple values separated by commas, up to 100 patents per request.
  • patentNumber -- The publication or announcement number. Multiple values separated by commas, up to 100 patents per request.

Optional Parameters

  • lang -- Target translation language: en (English, default), cn (Chinese), or jp (Japanese).
  • replaceByRelated -- Whether to substitute claims from a family patent when the original claims are unavailable: 1 = yes, 0 = no (default).

Usage Examples

1. Get English claims for a single patent by publication number

patentNumber: "CN112345678A"
lang: "en"

2. Get Chinese claims for multiple patents by publication number

patentNumber: "US20210012345A1,EP3456789B1"
lang: "cn"

3. Get Japanese claims with family patent fallback

patentNumber: "JP2021123456A"
lang: "jp"
replaceByRelated: 1

4. Query by patent ID

patentId: "84a1b2c3-d4e5-6f78-9abc-def012345678"
lang: "en"

Display Rules

  1. Present claims clearly: Show the translated claim text with proper formatting. If multiple patents are returned, separate each patent's claims with its publication number as a heading.
  2. Family substitution notice: When pnRelated is present in the response, clearly inform the user that the claims were sourced from a related family patent and show the substitute publication number.
  3. Language notice: State the language of the returned claims so the user knows which translation they are viewing.
  4. Large results: When multiple patents are returned, summarize the count and show a few representative entries, reminding the user of the total.
  5. Error handling: When a query fails, explain the reason based on the error response and suggest checking the patent ID or publication number.

Important Limitations

  • At least one identifier required: Either patentId or patentNumber must be provided; otherwise the query will fail.
  • Batch limit: A maximum of 100 patents per request.
  • Language support: Only Chinese (cn), English (en), and Japanese (jp) are supported.
  • Family substitution: Substitute claims are only returned when replaceByRelated is set to 1 and the original claims are unavailable.

User Expression & Scenario Quick Reference

Applicable -- Queries related to patent claim text and translation:

User Says Scenario
"Show me the claims for patent XX" Single patent claim lookup
"Translate claims to Chinese/Japanese" Claim translation
"What does patent XX claim?" Claim content retrieval
"Get claims for these patents: XX, YY" Batch patent claim lookup
"Claims unavailable, try family patent" Family patent substitution
"Patent rights scope of XX" Claim text retrieval

Not applicable -- Needs beyond patent claim translation:

  • Patent search or discovery (finding patents by keyword)
  • Patent citation or legal status analysis
  • Patent abstract or description retrieval
  • Patent portfolio analytics or statistics

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.

Handling Large Responses

To avoid overflowing the agent context, persist the response to disk and extract only the fields you need:

python scripts/response_io.py run --script scripts/zhihuiya_claim_translated.py --out-dir <DIR> '<params>'
python scripts/response_io.py read <file> --fields "<paths>"   # or --path "<JMESPath>"

Pick --out-dir outside any git working tree (e.g. /tmp/... on Unix, %TEMP%/... on Windows). Persisted responses may contain PII, pricing, or auth-sensitive data — do not commit them. Files are not auto-deleted; clean up when the task is done.

run writes the full response to a file and emits only a schema preview + file path. read projects specific fields, with --limit/--offset for slicing and --format json|jsonl|csv|table for output.

When to prefer this pattern — apply your judgment based on the response characteristics, e.g.:

  • High field count per record, or fields you don't need
  • Batch/paginated results (multiple items per call)
  • Long-text fields (descriptions, reviews, HTML, time series)
  • Output reused across later steps rather than consumed immediately

For small, single-use responses, calling the main script directly is fine.

⚠️ The preview is a truncated schema + sample, not the full data. Any field-level decision must read from the persisted file via read.


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