Skip to content
All Skills

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.

Education & Writing|v1|Updated 7/14/2026|GitHub source
MCP get_skill({ skillId: "patent-examiner-review-via-codex-mcp-xhigh-reasoning-93a9d07f" })

Use this skill with your agent

Create a free account and connect via MCP

Get Started Free
# 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 `spawn_agent` with xhigh reasoning:

```text
spawn_agent:
  model: gpt-5.5
  reasoning_effort: xhigh
  message: |
    You are a senior patent examiner at the [USPTO/CNIPA/EPO].
    Examine this patent application and issue a detailed office action.

    CLAIMS:
    [all claims]

    SPECIFICATION SUMMARY:
    [key sections: title, technical field, background, summary, abstract]

    PRIOR ART KNOWN:
    [prior art references]

    PATENTABILITY STANDARDS TO APPLY:
    [US: 35 USC 101/102/103/112 | CN: Articles 22, 26 | EP: Articles 54, 56, 83, 84]

    Please issue an office action covering:

    1. CLAIM CLARITY (112(b)/Art 84):
       - Are all terms definite?
       - Any indefinite functional language?
       - Antecedent basis issues?

    2. WRITTEN DESCRIPTION (112(a)/Art 83 first para):
       - Does the spec support ALL claim scope?
       - Any claim elements without spec support?

    3. ENABLEMENT (112(a)/Art 83):
       - Can a POSITA practice the invention?
       - Any missing algorithm/structure for functional claims?

    4. NOVELTY (102/Art 54):
       - Would any known reference anticipate any claim?
       - Identify the closest single reference.

    5. NON-OBVIOUSNESS (103/Art 56):
       - Would any combination render claims obvious?
       - What is the motivation to combine?

    6. CLAIM SCOPE:
       - Are independent claims broad enough to be commercially valuable?
       - Do dependent claims provide meaningful fallback positions?
       - Any claims that are too broad (likely rejected) or too narrow (not valuable)?

    7. SPECIFICATION QUALITY:
       - Language issues (subjective terms, relative terms, result-to-be-achieved)
       - Reference numeral consistency
       - Missing embodiments

    Format your response as a formal office action with:
    - GROUNDS OF REJECTION for each issue (cite statute)
    - SUGGESTED AMENDMENTS for each issue
    - OVERALL PATENTABILITY SCORE: 1-10

    Be rigorous and specific. This is a real examination.
```

### Step 3: Implement Fixes (Round 1)

Based on the examiner's office action:

1. **CRITICAL issues** (102 rejection, 112 indefiniteness, missing enablement):
   - Must be fixed before proceeding
   - Amend claims or add specification support

2. **MAJOR issues** (103 obviousness, weak claim scope, missing support):
   - Should be fixed or argued
   - Consider claim amendments or specification additions

3. **MINOR issues** (language quality, numeral consistency, formatting):
   - Fix if time permits
   - Document in output for later cleanup

For each fix:
- Show the specific change (old claim -> new claim)
- Explain how the fix addresses the examiner's concern

### Step 4: Round 2 — Follow-Up Review

Use `send_input` with the saved reviewer id from Round 1:

```text
send_input:
  target: [saved reviewer id from Round 1]
  message: |
    Here is the revised patent application after addressing your office action.

    CHANGES MADE:
    [list of all changes with rationale]

    REVISED CLAIMS:
    [updated claims]

    REVISED SPECIFICATION EXCERPTS:
    [changed sections]

    Please re-examine:
    1. Are the previous rejections overcome?
    2. Are there new issues introduced by the amendments?
    3. What is the updated patentability score?
    4. Any remaining grounds for rejection?
```

### Step 5: Generate Improvement Report

Write `patent/PATENT_REVIEW.md`:

```markdown
## Patent Review Report

### Application Summary
[Title, claims count, jurisdiction]

### Review Round 1
#### Office Action Summary
[Key findings from examiner]

#### Issues Found
| # | Type | Severity | Claim/Section | Issue | Citation | Fix Applied |
|---|------|----------|--------------|-------|----------|-------------|
| 1 | Clarity | CRITICAL | Claim 3 | Indefinite term "rapid" | 112(b) | Defined in spec |
| 2 | Novelty | MAJOR | Claim 1 | Ref X anticipates element C | 102 | Amended claim |

#### Score After Round 1: [X]/10

### Review Round 2
#### Follow-Up Assessment
[Are previous rejections overcome?]

#### Remaining Issues
[Any issues still outstanding]

#### Score After Round 2: [X]/10

### Recommendations
[Final recommendations before proceeding to jurisdiction formatting]
- [ ] All CRITICAL issues resolved
- [ ] All MAJOR issues resolved or argued
- [ ] Specification supports all claim amendments
- [ ] Ready for jurisdiction formatting
```

## Key Rules

- The reviewer persona must be a patent examiner, not a paper reviewer or academic.
- Always use `model_reasoning_effort: "xhigh"` for maximum analysis depth.
- Address CRITICAL and MAJOR issues before proceeding to the next phase.
- Document all changes in the review report for traceability.
- If the patentability score is below 5/10 after Round 2, recommend significant rework before filing.
- The review is advisory -- actual prosecution may proceed differently.
#broad-capability#wanshuiyin-aris#ml-research#autonomous#patent#writingclaude-codecodex-mcp-server

Related Skills

More skills in Education & Writing

Academic Plotting

Generates publication-quality figures for ML papers from research context. Given a paper section or description, extracts system components and relationships to generate architecture diagrams via Gemini. Given experiment results or data, auto-selects chart type and generates data-driven figures via matplotlib/seaborn. Use when creating any figure for a conference paper.

#broad-capability#ai-researchMIT

Add Educational Comments

Add educational comments to the file specified, or prompt asking for file to comment if one is not provided.

#github-copilot#educationMIT

AI Prompt Engineering & Safety Best Practices

Comprehensive best practices for AI prompt engineering, safety frameworks, bias mitigation, and responsible AI usage for Copilot and LLMs.

#github-copilot#awesome-copilotMIT

Anti Slop

Comprehensive toolkit for detecting and eliminating "AI slop" - generic, low-quality AI-generated patterns in natural language, code, and design. Use when reviewing or improving content quality, preventing generic AI patterns, cleaning up existing content, or enforcing quality standards in writing, code, or design work.

#broad-capability#mathMIT

Apple Notes

Create, view, edit, delete, search, move, or export Apple Notes via the memo CLI on macOS.

#broad-capability#browserMIT

Asc Whats New Writer

Generate engaging, localized App Store release notes (What's New) from git log, bullet points, or free text using canonical metadata under `./metadata`. Optionally pairs with promotional text updates.

#rudrankriyam-app-store-connect#iosMIT