patent-novelty-check
Assess patent novelty and non-obviousness against prior art
Install / Use
npx skills add wanshuiyin/Auto-claude-code-research-in-sleep --skill patent-novelty-checkInstalls into whichever agent you are using.
SKILL.md
Installable skill definition
Quality Score
Category
Education & ResearchSupported Platforms
Our assessment of patent-novelty-check
patent-novelty-check scores 82/100 on our quality scale, 124th of 173 Education & Research skills we index.
Its SKILL.md is 5.6 KB long, well organised into 20 sections with 2 code examples: a solid amount of guidance for an agent.
With 16,644 GitHub stars, it is one of the more widely adopted skills in the catalogue.
Maintenance, license and trust
- The repository was last updated 8 days ago, so patent-novelty-check is actively maintained.
- It is released under the MIT license, a permissive license that allows use, modification and commercial use with attribution.
- Its trust signals score 100/100, with no cautions. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.
patent-novelty-check compared with similar skills
All 4 of these similar skills score higher than patent-novelty-check; compare them before choosing.
| Skill | Score | Stars | Updated | Format |
|---|---|---|---|---|
| patent-novelty-check (this skill)by wanshuiyin | 82 | 16.6k | 8d ago | SKILL.md |
| Agent-Reachby Panniantong | 100 | 85.6k | 11d ago | CLAUDE.md |
| headroomby headroomlabs-ai | 100 | 73.9k | today | CLAUDE.md |
| rufloby ruvnet | 100 | 73.3k | today | CLAUDE.md |
| last30days-skillby mvanhorn | 100 | 62.9k | 3d ago | CLAUDE.md |
Frequently asked questions
- How do I install patent-novelty-check?
- Run
npx skills add wanshuiyin/Auto-claude-code-research-in-sleep --skill patent-novelty-check. The install tabs above show the steps for each supported agent. - Which AI agents does patent-novelty-check work with?
- It is written for OpenAI Codex, as a SKILL.md file. Other agents that read the same format can often use it too.
- Is patent-novelty-check safe to use?
- It is MIT-licensed and scores 100/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
- Is patent-novelty-check still maintained?
- The repository was last updated 8 days ago, so patent-novelty-check is actively maintained.
Skill content
View source on GitHubname: patent-novelty-check description: "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." argument-hint: "[invention-description-or-brief-path]" allowed-tools: Bash(*), Read, Write, Edit, Grep, Glob, WebSearch, WebFetch, mcp__codex__codex
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 verificationNOVELTY_STANDARD = patent— Always use legal patentability standard, not research contribution standard
Inputs
- Invention description from
$ARGUMENTS patent/PRIOR_ART_REPORT.md(output of/prior-art-search)patent/INVENTION_BRIEF.mdif 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:
- List the technical features that make the invention novel
- Identify which features are known from prior art vs. inventive
- 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:
- Primary reference: Which reference is closest to the claimed invention?
- Secondary reference(s): Which reference(s) teach the missing element(s)?
- 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__codexis not available, skip cross-model examiner review and note it in the output.
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Languages
Trust signals
From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.
