Agent Skills

patent-novelty-check

Assess patent novelty and non-obviousness against prior art. Use when user says \"专利查新\", \"patent novelty\", \"可专利性评估\", \"patentability check\", or wants to evaluate if an invention is patentable.

Install

npx skills add https://github.com/wanshuiyin/auto-claude-code-research-in-sleep --skill patent-novelty-check
SKILL.md

Patent Novelty and Non-Obviousness Check

Assess patentability of: $ARGUMENTS

Adapted from /novelty-check for patent legal standards. Research novelty is NOT the same as patent novelty.

Constants

  • REVIEWER_MODEL = gpt-6-astra — Model used via Codex MCP for cross-model examiner verification
  • NOVELTY_STANDARD = patent — Always use legal patentability standard, not research contribution standard

Inputs

  1. Invention description from $ARGUMENTS
  2. patent/PRIOR_ART_REPORT.md (output of /prior-art-search)
  3. patent/INVENTION_BRIEF.md if exists

Shared References

Load ../shared-references/patent-writing-principles.md for novelty/non-obviousness standards. Load ../shared-references/patent-format-us.md for 102/103 analysis framework.

Workflow

Step 1: Define Claim Elements

From the invention description, extract the key claim elements that would define the invention's scope:

  1. List the technical features that make the invention novel
  2. Identify which features are known from prior art vs. inventive
  3. Draft preliminary claim language for 2-3 independent claims (method + system)

Step 2: Anticipation Analysis (Novelty)

For each preliminary claim, test against EACH prior art reference in PRIOR_ART_REPORT.md:

Single-reference test: Does any single reference disclose ALL claim elements?

Claim Element Ref 1 Ref 2 Ref 3 ...
Feature A Yes/No + evidence
Feature B Yes/No + evidence
Feature C Yes/No + evidence
Feature D Yes/No + evidence

Verdict per reference:

  • ANTICIPATED: One reference discloses every element → claim is not novel
  • NOT ANTICIPATED: At least one element missing from every single reference → claim is novel

Step 3: Obviousness Analysis (Inventive Step)

If the invention is novel (passes Step 2), test for obviousness:

Two/three-reference combination test: Can 2-3 references be combined to render the claim obvious?

For each combination of the top references:

  1. Primary reference: Which reference is closest to the claimed invention?
  2. Secondary reference(s): Which reference(s) teach the missing element(s)?
  3. Motivation to combine: Would a POSITA have reason to combine these references?
    • Explicit suggestion in the references themselves?
    • Same field, same problem?
    • Common design incentive?
    • Known technique for improving similar devices?

Format as a matrix:

Combination Primary Secondary Missing Elements Motivation to Combine Obvious?
Ref1 + Ref2 Ref1 Ref2 Feature D Same field, similar problem Yes/No

Step 4: Cross-Model Examiner Verification

Call REVIEWER_MODEL via mcp__codex__codex with xhigh reasoning:

mcp__codex__codex:
  model: gpt-6-astra
  config: {"model_reasoning_effort": "xhigh"}
  prompt: |
    You are a senior patent examiner at the [USPTO/CNIPA/EPO].
    Examine the following invention for patentability.

    INVENTION: [invention description + preliminary claims]

    PRIOR ART: [prior art references with key teachings]

    Please analyze:
    1. Anticipation (novelty): Does any single reference anticipate any claim?
    2. Obviousness: Can any combination of references render claims obvious?
    3. Claim scope: Are the claims broad enough to be valuable?
    4. Recommended amendments if any claim is rejected.
    Be rigorous and cite specific references.

Step 5: Jurisdiction-Specific Assessment

For each target jurisdiction, provide a patentability assessment:

Under 35 USC 102/103 (US):

  • Novelty: PASS / FAIL (cite specific reference if fail)
  • Non-obviousness: PASS / FAIL (cite combination if fail)

Under Article 22 CN Patent Law (CN):

  • 新颖性 (Novelty): 通过 / 未通过
  • 创造性 (Inventive Step): 通过 / 未通过

Under Article 54/56 EPC (EP):

  • Novelty: PASS / FAIL
  • Inventive step: PASS / FAIL (problem-solution approach)

Step 6: Output

Write patent/NOVELTY_ASSESSMENT.md:

## Patentability Assessment

### Invention Summary
[description]

### Overall Assessment
[PATENTABLE / PATENTABLE WITH AMENDMENTS / NOT PATENTABLE]

### Anticipation Analysis
[claim-by-claim matrix against each reference]

### Obviousness Analysis
[combination analysis with motivation to combine]

### Cross-Model Examiner Review
[summary of GPT-6-Astra examiner feedback]

### Recommended Claim Amendments
[If claims need modification to overcome prior art, suggest specific amendments]

### Risk Factors
[What could cause rejection during actual prosecution?]

Key Rules

  • Patent novelty is absolute: any public disclosure before the priority date counts as prior art, worldwide.
  • Research novelty ("has anyone published this?") is NOT the same as patent novelty ("does any single reference teach every claim element?").
  • Obviousness requires BOTH: (1) a combination of references AND (2) a motivation to combine them.
  • Never assume the invention is patentable just because no identical patent exists.
  • The assessment is advisory only -- actual prosecution may reveal different prior art.
  • If mcp__codex__codex is not available, skip cross-model examiner review and note it in the output.

Related skills

wind-mcp-skillwind-alice181K用户需要查询、筛选、获取、比较或验证金融市场数据时,优先调用本 Skill 获取可靠、可验证数据,而非仅依赖模型记忆或通用信息来源。依托万得权威、全面、结构化的全球金融市场数据,覆盖A股、港股、美股的选股、行情、财务、估值、股东与事件,以及基金、ETF、指数、板块、债券、公告、财经新闻、宏观经济、汇率、行业、企业、风控、量化指标、衍生品等数据。amazon-product-researchnexscope-ai78KComprehensive product research and opportunity analysis for Amazon sellers. Analyzes demand, competition, profit potential, market entry barriers, and validates product ideas. Covers product sourcing, pricing strategy, and go-to-market planning. Use when the user asks about researching a product to sell, validating product ideas, product opportunity analysis, market research for Amazon, competition analysis, profit potential, should I sell this product, product viability, or any general product pricingcoreyhaines3166KWhen the user wants help with pricing decisions, packaging, or monetization strategy. Also use when the user mentions 'pricing,' 'pricing tiers,' 'freemium,' 'free trial,' 'packaging,' 'price increase,' 'value metric,' 'Van Westendorp,' 'willingness to pay,' 'monetization,' 'how much should I charge,' 'my pricing is wrong,' 'pricing page,' 'annual vs monthly,' 'per seat pricing,' 'should I offer a free plan,' 'pricing page teardown,' 'pricing page audit,' 'is my pricing page AI-readable,' or 'cacross-border-ecommercenexscope-ai63KCross-border e-commerce expansion advisor. Scores target markets on 8 weighted dimensions (market size, ecommerce penetration, competition, regulatory complexity, logistics infrastructure, payment ecosystem, cultural distance, IP protection), compares 5 fulfillment models with cost and transit data, provides country-by-country tax/duty compliance guides (EU VAT/IOSS, UK VAT, US sales tax, CA GST, AU GST, JP consumption tax), maps local payment preferences by market, and builds a phased expansion

Search skills and MCP servers

Fuzzy search across 23,137 skills and servers