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dataify-server

Dataify Google Patents

by dataify-server · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ Security Clean
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Install in OpenClaw
/install dataify-google-patents
Description
When the user requests "call Google Patents" or "patent search", or explicitly mentions the patent search field, the dataify-google-patents skill is triggered.
README (SKILL.md)

Dataify Google Patents

Use this skill to turn a user's Google Patents request into a Dataify Scraper API call.

Required Pre-Call Confirmation

Before every real API call, follow this confirmation flow. These rules override any older workflow order in this skill.

  1. Parse the user's request into the API body fields and fixed engine value.
  2. Apply defaults only when the parameter description explicitly states a default. Do not use example YAML values, sample prompts, placeholder values, or examples such as pizza, us, en, dates, airport codes, or tokens as defaults.
  3. If a required parameter has no documented default and cannot be inferred from the user request, ask for that parameter before building the table.
  4. Show a Markdown table before calling the API. Do not include Authorization. Include the complete body field list from this skill's reference document, including engine, even when a field is currently blank.
  5. The table must have exactly these columns: 参数名, 当前值, 默认值, 说明.
  6. After the table, ask the user whether they want to modify any parameter. Do not call the API until the user explicitly confirms.
  7. If the user changes a parameter, regenerate the table and ask for confirmation again.
  8. If the token is missing, stop and tell the user to sign in at Dataify Dashboard to obtain DATAIFY_API_TOKEN.

Use the bundled preview helper whenever possible to generate the confirmation table from this skill's reference document:

python3 scripts/preview_params.py --params-json '{"q":"USER_QUERY"}'

Pass every parsed current value to preview_params.py using --params-json or matching --field value arguments. The helper reads defaults and descriptions from references/*api.md; if the helper cannot parse a default, leave the default blank rather than inventing one. 9. After confirmation and token handling, call the bundled Python script with python3 and return the API response body directly without summarizing, extracting, cleaning, translating, or reshaping it.

Workflow

  1. Parse the user's request into Dataify Google Patents fields. Always set engine to google_patents.
  2. Apply only defaults that are explicitly stated in the parameter descriptions:
    • json: "1"
    • page: "0"
    • dups: "family"
    • patents: "true"
    • scholar: "false"
    • no_cache: "false"
    • sort defaults to relevance by omitting the field.
  3. Do not use example values as defaults. Omit optional fields that have no documented default unless the user requested them.
  4. If the token is missing, stop and tell the user to sign in at Dataify Dashboard to obtain DATAIFY_API_TOKEN.
  5. Before every API call, run the bundled Python script with python3 and --print-table to generate the full parameter review table:
python3 scripts/google_patents.py --request "search Google Patents for battery recycling patents" --print-table

Show the table to the user with exactly these columns: parameter name, current value, default value, and description. Ask whether they want to modify any parameter. Do not call the API until the user confirms.

  1. If the user changes parameters, pass the edited values with explicit flags or with --params-json, show the table again, and ask for confirmation again.
  2. After confirmation, call the script without --print-table:
python3 scripts/google_patents.py --request "search Google Patents for battery recycling patents"

For many fields, pass one JSON object with shell-appropriate quoting:

python3 scripts/google_patents.py --params-json '{"q":"battery recycling","status":"GRANT","country":"US","json":"1"}'

If the user provided a token in the conversation instead of an environment variable, pass it with --token and avoid echoing it back in the final answer:

python3 scripts/google_patents.py --token "USER_TOKEN" --q "battery recycling"
  1. Return the script output directly to the user. Do not summarize, extract, clean, translate, or reshape the API response.

Field Mapping

Use references/google_patents_api.md when you need the exact field list, defaults, accepted values, and mapping hints.

Core rules:

  • Always submit the API request as form data with Content-Type: application/x-www-form-urlencoded.
  • Always use UTF-8 encoding.
  • Always force engine to google_patents; ignore any conflicting user-provided engine.
  • Keep request values as strings unless the script accepts and normalizes a boolean.
  • Ask a follow-up when no meaningful search query or filter can be inferred.
  • Normalize token values in the script. A token without Bearer is accepted and prefixed automatically.
  • Do not reveal the full token in the parameter review table.

Common mappings:

  • "JSON" -> json: "1"
  • "JSON+HTML" -> json: "2"
  • "HTML" -> json: "3"
  • "Light JSON" -> json: "4"
  • first page -> page: "0", second page -> page: "1"
  • newest/latest/recent -> sort: "new"
  • oldest/earliest -> sort: "old"
  • relevance/default relevance -> omit sort
  • grouped/clustered results -> clustered: "true"
  • family deduplication -> dups: "family"
  • publication deduplication -> dups: "language"
  • include patent results -> patents: "true"
  • include Google Scholar results -> scholar: "true"
  • before/after dates -> before or after, formatted as priority:YYYYMMDD, filing:YYYYMMDD, or publication:YYYYMMDD
  • inventor names -> inventor
  • assignee, applicant, or owner names -> assignee
  • country/region patent codes -> country
  • result language filter -> language
  • granted patents -> status: "GRANT"
  • applications -> status: "APPLICATION"
  • patent type -> type: "PATENT"
  • design type -> type: "DESIGN"
  • litigation yes/no -> litigation: "YES" or litigation: "NO"
  • bypass cache -> no_cache: "true"
Usage Guidance
Before installing, review the skill text for any odd hidden characters or unexpected instructions, but based on the supplied evidence there is no concrete indication of malicious behavior or high-impact under-disclosed authority.
Capability Assessment
Purpose & Capability
No artifact text or metadata in the prompt demonstrates a purpose mismatch or unsafe capability; the supplied SkillSpector result is clean with zero issues.
Instruction Scope
The only pre-scan indicator is Unicode control characters, which can indicate hidden formatting but is not by itself evidence of prompt injection, deception, or unsafe instructions.
Install Mechanism
No install hook, automatic execution path, package mutation, or background setup behavior was evidenced in the supplied materials.
Credentials
No evidence was supplied of overbroad filesystem, network, credential, profile, or local data access beyond the skill's disclosed purpose.
Persistence & Privilege
No persistence, privilege escalation, destructive action, credential storage, or long-running worker behavior was evidenced.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install dataify-google-patents
  3. After installation, invoke the skill by name or use /dataify-google-patents
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
- Initial release of the dataify-google-patents skill. - Converts Google Patents requests into Dataify Scraper API calls. - Enforces a strict parameter confirmation flow with a required Markdown parameter table before each call. - Uses only documented default values for parameters; does not invent or assume defaults from examples. - Handles all user parameter modifications with iterative table previews and explicit user confirmation. - Requires users to provide a Dataify API token and instructs sign-in if missing.
Metadata
Slug dataify-google-patents
Version 1.0.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is Dataify Google Patents?

When the user requests "call Google Patents" or "patent search", or explicitly mentions the patent search field, the dataify-google-patents skill is triggered. It is an AI Agent Skill for Claude Code / OpenClaw, with 31 downloads so far.

How do I install Dataify Google Patents?

Run "/install dataify-google-patents" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Dataify Google Patents free?

Yes, Dataify Google Patents is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Dataify Google Patents support?

Dataify Google Patents is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Dataify Google Patents?

It is built and maintained by dataify-server (@dataify-server); the current version is v1.0.0.

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