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patent-review

patent-review

github.com/wanshuiyinDocuments18.2k496 installsUpdated 4d ago
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About patent-review

patent-review is a multi-round review skill for patent applicants. It evaluates claims, specifications, and prior art from a patent examiner’s perspective, then records issues and revisions in a review report.

Key features

  1. 01Compile claims, specification, and prior art
  2. 02Review from a patent examiner’s perspective
  3. 03Run two rounds with follow-up review
  4. 04Classify issues by severity
  5. 05Generate a patent review report

Use cases

  1. 01Check a patent application before filing
  2. 02Revise claims in response to review findings
  3. 03Record issues and changes for traceability

MCP support

The skill invokes an external reviewer through Codex MCP and uses its reply interface for the second review round.

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/wanshuiyin/auto-claude-code-research-in-sleep --skill patent-review

After installing, type/patent-reviewin Claude Code to confirm it loaded.

Details

From the project README

Patent Examiner Review via Codex MCP (xhigh reasoning)

Before each reviewer slot, follow Selectable Reviewers: resolve invocation → .aris/reviewer.json → Claude Code default (Codex MCP) with reviewer_route.py through the canonical helper resolver, preserving this slot's tier, fresh contexts, source/image inputs and deterministic gates. Codex examples/pins below apply only to backend=codex; other routes use their own first-call/reply contract. Save the route and actual returned identity; unavailable selections are REVIEW_UNAVAILABLE. Classify acceptance from actual families/completion/scope. Forward invocation reviewer/model/effort overrides to reviewer-bearing children. Generation workers are unchanged.

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-6-astra — Model used via Codex MCP
  • REVIEW_ROUNDS = 2 — Number of review rounds
  • EXAMINER_PERSONA = "patent-examiner" — GPT-6-Astra persona

Prerequisites

  • Codex MCP Server configured:
    claude mcp add codex -s user -- python3 "$HOME/aris_repo/mcp-servers/codex-exec/server.py"   # your ARIS clone's path
    

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:

Resolve this reviewer slot first; the following is the backend=codex example.

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 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 mcp__codex__codex-reply with the threadId from Round 1:

Resolve this reviewer slot first; the following is the backend=codex example.

mcp__codex__codex-reply:
  threadId: [from Round 1]
  # inherits the thread's model/effort — do not re-send
  prompt: |
    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:

## 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.

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