Patent Novelty and Non-Obviousness Check
SkillAI & modelsLets your agent check whether an invention is likely patentable by testing it against prior art.
Instructions available. Your AI can read the instructions. Execution depends on the setup they require.
Account requirements not reviewed. Check the skill instructions before use; ahel provides instructions and does not run this skill.
Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.
Then ask your AI: use the Patent Novelty and Non-Obviousness Check skill
About this skill
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.
What this skill tells your AI
The instructions your AI receives, as published by wanshuiyin/auto-claude-code-research-in-sleep in skills/patent-novelty-check/SKILL.md and read by ahel’s review.
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.
Signals
- GitHub stars
- 17k
- Forks
- 1k
- Last commit
- Sep 2026
Others that do the same job
Advanced
- Item type
- skill
- Key
patent-novelty-check-wanshuiyin- Source
- github.com/wanshuiyin/auto-claude-code-research-in-sleep
github.com/wanshuiyin/auto-claude-code-research-in-sleep
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