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Zhihuiya Cited References

v1.0.0

从智慧芽专利数据库查询专利的前向引用详情。当用户询问专利引用、被引用专利、引用文献、专利参考文献、前向引用、在先技术引用或想查看特定专利在申请过程中引用了哪些专利、非专利文献、patent cited references, forward citations, patent references, citati...

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Best for remote or guided setup. Copy the exact prompt, then paste it into OpenClaw for linkfox-ai/linkfox-zhihuiya-cited-references.

Previewing Install & Setup.
Prompt PreviewInstall & Setup
Install the skill "Zhihuiya Cited References" (linkfox-ai/linkfox-zhihuiya-cited-references) from ClawHub.
Skill page: https://clawhub.ai/linkfox-ai/linkfox-zhihuiya-cited-references
Keep the work scoped to this skill only.
After install, inspect the skill metadata and help me finish setup.
Use only the metadata you can verify from ClawHub; do not invent missing requirements.
Ask before making any broader environment changes.

Command Line

CLI Commands

Use the direct CLI path if you want to install manually and keep every step visible.

OpenClaw CLI

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openclaw skills install linkfox-zhihuiya-cited-references

ClawHub CLI

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npx clawhub@latest install linkfox-zhihuiya-cited-references
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Purpose & Capability
The skill's name, description, SKILL.md, API reference, and Python script all align: they call a LinkFox gateway to retrieve Zhihuiya patent forward-citation data. However, the registry metadata declares no required environment variables while the code and api.md clearly require LINKFOXAGENT_API_KEY, which is an inconsistency.
Instruction Scope
Runtime instructions are narrowly scoped to building the request, calling the specified API, formatting results, and optionally reporting feedback. The SKILL.md and references/api.md explicitly document the endpoint and expected parameters; there are no instructions to read arbitrary local files or other unrelated credentials.
Install Mechanism
No install spec is provided (instruction-only with a small helper script). There is no downloading of remote archives or unusual install behavior—risk from installation mechanism is low.
!
Credentials
The code and API docs require the LINKFOXAGENT_API_KEY environment variable for Authorization, but the skill registry metadata lists no required env vars/primary credential. Additionally, the skill's feedback guidance instructs sending user intent/content to https://skill-api.linkfox.com/api/v1/public/feedback — this can include user-provided text and would transmit it to an external service without an explicit consent step in the instructions. Both the undeclared required API key and the automatic feedback submission behavior raise privacy and transparency concerns.
Persistence & Privilege
The skill is not always-enabled, does not modify other skills or system configuration, and has no special persistence privileges. Autonomous invocation is allowed (platform default) but not combined with other high-risk properties here.
What to consider before installing
The skill appears to implement the advertised Zhihuiya forward-citation lookup, but note two issues before installing: (1) it requires an API key (LINKFOXAGENT_API_KEY) even though the registry metadata doesn't declare this — confirm where the key comes from and whether it has limited scope; (2) the skill instructs automatic feedback submissions to an external domain and that feedback may include user text (which could be sensitive). If you plan to use this skill with confidential patent data, avoid enabling automatic feedback or require explicit user confirmation; verify the API hosts (tool-gateway.linkfox.com and skill-api.linkfox.com) and the origin of the API key. If you need higher assurance, ask the publisher to update the registry metadata to declare required env vars and to add an explicit consent step before sending feedback.

Like a lobster shell, security has layers — review code before you run it.

latestvk975y3ghp72k7pfv4s1n09qrx9842dcb
77downloads
0stars
1versions
Updated 3w ago
v1.0.0
MIT-0

Zhihuiya Patent Forward Citation

This skill guides you on how to query patent forward citation data from the Zhihuiya patent database, helping users discover the patents and non-patent literature cited by specific patents during their application process.

Core Concepts

Forward citation refers to the patents and non-patent literature that a given patent has cited in its application documents. This is a fundamental aspect of patent analysis — understanding what prior art a patent references helps assess its novelty, scope, and technological lineage.

  • Patent citations (citedPatents): Other patents referenced by the queried patent.
  • Non-patent literature citations (citedOthers): Academic papers, technical reports, and other non-patent documents referenced by the queried patent.

Parameter Guide

You must provide at least one of the following two parameters. If both are provided, patentId takes priority.

ParameterTypeRequiredDescription
patentIdstringConditionallyPatent ID(s). Multiple values separated by commas. Maximum 100 entries.
patentNumberstringConditionallyPublication/announcement number(s). Multiple values separated by commas. Maximum 100 entries.

Rules:

  1. At least one of patentId or patentNumber must be provided.
  2. If both are present, patentId is used preferentially.
  3. Multiple values are separated by commas (English commas).
  4. Each parameter supports up to 100 entries per request.

Response Fields

FieldTypeDescription
totalintegerTotal number of records returned
dataarrayList of patent citation results
data[].patentIdstringPatent ID of the queried patent
data[].pnstringPublication/announcement number
data[].citedPatentsarrayList of cited patent documents
data[].citedOthersarrayList of cited non-patent literature
columnsarrayColumn definitions for rendering
costTokenintegerTokens consumed by the query
typestringRendering style hint

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_cited_references.py directly to run queries.

Usage Examples

1. Query forward citations by publication number

Look up the forward citations for patent US10000000B2.

Parameters: {"patentNumber": "US10000000B2"}

2. Query forward citations for multiple patents

Find all citations for patents US10000000B2, US9876543B1, and EP3456789A1.

Parameters: {"patentNumber": "US10000000B2,US9876543B1,EP3456789A1"}

3. Query forward citations by patent ID

Retrieve the cited references for patent ID 12345678.

Parameters: {"patentId": "12345678"}

4. Query forward citations using both identifiers

Look up citations for patent ID 12345678 (publication number US10000000B2).

Parameters: {"patentId": "12345678", "patentNumber": "US10000000B2"} (patentId takes priority)

Display Rules

  1. Present data clearly: Show citation results in well-structured tables, separating patent citations from non-patent literature citations.
  2. Summarize counts: Always state the total number of cited patents and cited non-patent literature items.
  3. No fabrication: Only display data returned by the API. Do not infer or fabricate citation details.
  4. Error handling: When a query fails, explain the reason based on the error response and suggest the user verify their patent ID or publication number.
  5. Batch results: When querying multiple patents, organize results by patent so each patent's citations are clearly grouped.
  6. Empty results: If a patent has no citations, explicitly inform the user rather than showing an empty table.

User Expression & Scenario Quick Reference

Applicable -- Patent citation queries:

User SaysScenario
"What patents does XX cite"Forward citation lookup
"Show me the references for patent XX"Citation detail retrieval
"What prior art is cited by XX"Prior art reference query
"List the cited literature for XX"Non-patent literature lookup
"Citation analysis for patent XX"Combined patent + literature citation
"What documents does patent XX reference"General citation query

Not applicable -- Needs beyond forward citation data:

  • Backward/reverse citations (who cites this patent)
  • Patent validity or legal status
  • Patent family analysis
  • Patent full-text search
  • Patent classification or landscape analysis

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.


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