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Patent Review
Get an external patent examiner review of a patent application. Use when user says "专利审查", "patent review", "审查意见", "examiner review", or wants critical feedback on patent claims and specification.
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# Patent Examiner Review via Codex MCP (xhigh reasoning)
Get a multi-round patent examiner review of the patent application based on: **$ARGUMENTS**
Adapted from `/research-review`. The reviewer persona is a patent examiner, not a paper reviewer.
## Constants
- `REVIEWER_MODEL = gpt-5.5` — Model used via Codex MCP
- `REVIEW_ROUNDS = 2` — Number of review rounds
- `EXAMINER_PERSONA = "patent-examiner"` — GPT-5.5 persona
## Prerequisites
- Codex MCP Server configured:
```bash
claude mcp add codex -s user -- codex mcp-server
```
## Inputs
1. `patent/CLAIMS.md` — all drafted claims
2. `patent/specification/` — all specification sections
3. `patent/figures/numeral_index.md` — reference numeral mapping
4. `patent/PRIOR_ART_REPORT.md` — known prior art
5. `patent/INVENTION_DISCLOSURE.md` — invention structure
## Workflow
### Step 1: Gather Patent Context
Before calling the external reviewer, compile a comprehensive briefing:
1. Read all claims (independent + dependent)
2. Read specification sections (at least summary and detailed description)
3. Read prior art report for context
4. Identify: core inventive concept, claim scope, known prior art, target jurisdiction
### Step 2: Round 1 — Full Examiner Review
Send to `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 this patent application and issue a detailed office action.
CLAIMS:
[all claims]#broad-capability#wanshuiyin-aris#ml-research#autonomous#literature#reviewcodex-mcp-server