mang30/myskills/patent-novelty-check
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Checking that the SKILL.md file is still in the repository.
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 vskill@latest install mang30/myskills/patent-novelty-checkSKILL.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-5.5— 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:
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:
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.
Security
- Security scanPassed, 90 of 100Pattern checks on the skill's files.
- Model reviewPassed
Quality evaluation
- Task evaluationNot runNo evaluation yet. Run one in Skill Studio.
Source
- SKILL.md in the repositoryCheckingskills/patent-novelty-check/SKILL.md
Popularity
- 7-day trend score
- 0
Not refreshed yet.
Works with
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