agent legal skill risk: medium
Patent Novelty Non-Obviousness Assessment
Assess patentability of an invention by extracting claim elements, performing anticipation and obviousness analysis against prior art references, conducting cross-model examiner ve…
- Policy sensitive
- Human review
SKILL 1 file
SKILL.md
---
name: 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."
---
# Patent Novelty and Non-Obviousness Check
Assess patentability of: **$ARGUMENTS**
Adapted from `/novelty-check` for patent legal standards. Research novelty is NOT the same as patent novelty.
## Constants
- `REVIEWER_MODEL = gpt-5.5` — Model used via Codex MCP for cross-model examiner verification
- `NOVELTY_STANDARD = patent` — Always use legal patentability standard, not research contribution standard
## Inputs
1. Invention description from `$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:
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`:
```markdown
## 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-5.4 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.
INPUTS
- $ARGUMENTS REQUIRED
Invention description to assess
REQUIRED CONTEXT
- invention description from $ARGUMENTS
- patent/PRIOR_ART_REPORT.md
- patent/INVENTION_BRIEF.md if exists
- ../shared-references/patent-writing-principles.md
- ../shared-references/patent-format-us.md
TOOLS REQUIRED
- mcp__codex__codex
ROLES & RULES
Role assignments
- You are a senior patent examiner at the [USPTO/CNIPA/EPO].
- Patent novelty is absolute: any public disclosure before the priority date counts as prior art, worldwide.
- Research novelty is NOT the same as patent novelty.
- Obviousness requires BOTH a combination of references AND 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.
EXPECTED OUTPUT
- Format
- markdown
- Schema
- markdown_sections · Patentability Assessment, Invention Summary, Overall Assessment, Anticipation Analysis, Obviousness Analysis, Cross-Model Examiner Review, Recommended Claim Amendments, Risk Factors
- Constraints
- write to patent/NOVELTY_ASSESSMENT.md
- include specific sections: Invention Summary, Overall Assessment, Anticipation Analysis, Obviousness Analysis, Cross-Model Examiner Review, Recommended Claim Amendments, Risk Factors
- use tables for claim element and combination matrices
SUCCESS CRITERIA
- Assess patentability under 102/103, CN, and EP standards
- Produce patent/NOVELTY_ASSESSMENT.md with required sections
- Perform anticipation and obviousness analyses with matrices
- Include cross-model examiner verification when available
FAILURE MODES
- May skip cross-model verification if MCP unavailable
- May confuse research novelty with patent novelty
CAVEATS
- Dependencies
- $ARGUMENTS
- patent/PRIOR_ART_REPORT.md
- patent/INVENTION_BRIEF.md
- ../shared-references/patent-writing-principles.md
- ../shared-references/patent-format-us.md
- mcp__codex__codex
- Missing context
- Target jurisdictions beyond the three explicitly listed
- How to obtain or generate the prior-art report if `/prior-art-search` has not been run
- Ambiguities
- Model name `gpt-5.5` and `REVIEWER_MODEL` reference are not defined outside the prompt.
- Does not specify behavior if `patent/PRIOR_ART_REPORT.md` or `patent/INVENTION_BRIEF.md` are missing.
QUALITY
- OVERALL
- 0.87
- CLARITY
- 0.88
- SPECIFICITY
- 0.92
- REUSABILITY
- 0.82
- COMPLETENESS
- 0.90
IMPROVEMENT SUGGESTIONS
- Add an explicit input section for priority date and inventor disclosure details.
- Replace hardcoded model name with a configurable parameter.
- Include a short note on output file overwrite policy.
USAGE
Copy the prompt above and paste it into your AI of choice — Claude, ChatGPT, Gemini, or anywhere else you're working. Replace any placeholder sections with your own context, then ask for the output.
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