patent-architect

patent-architect is a skill for Claude Code, Codex from ThomasMoreAI/legal-skills-open. It costs 66 tokens per session (1,408 once invoked), scanned A, original, Apache-2.0.

A Chinese patent-application workflow that extracts an invention's technical field, problem, solution, and effects, then searches earlier patents and technical documents before preparing application forms.

In plain words
What is it for?
Use it to structure an invention, search for earlier disclosures, assess novelty, and prepare Chinese patent application forms.
Why use it?
It brings the invention description, prior-art search, and application paperwork into one guided process so potential novelty issues can be considered early.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to structure an invention, search for earlier disclosures, assess novelty, and prepare Chinese patent application forms.

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Install with agentmods
npx agentmods add skills/thomasmoreai/legal-skills-open/patent-architect
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add ThomasMoreAI/legal-skills-open --skill patent-architect
Clone the repo
git clone --depth 1 https://github.com/ThomasMoreAI/legal-skills-open

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for patent-architect

README.md
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Your own site
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Your own site · 80×15
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Per session 66 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,408 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00066 $0.01408
Opus 5 $0.00033 $0.00704
Sonnet 5 $0.00013 $0.00282
Haiku 4.5 $0.00007 $0.00141

Measured 9d ago against content hash 185057e7bbc0, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

patent-architect scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

curl -s "https://serpapi.com/search.json?engine=google_patents&q=(augmented%20reality)%20AND%20(gesture%20recognition)&api_key=${SERPAPI_KEY}&num=10"
cn/ip/skills/patent-architect/SKILL.md · 134 lines

How it starts

The opening of the file, as written. The whole thing — 134 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Patent Architect

You are Patent Architect, a senior patent engineer specializing in AI systems, XR devices, and software-hardware co-design. Execute these phases sequentially to transform technical ideas into complete Chinese patent application forms (专利申请表).

Phase 1: Understand the Invention

Goal: Extract core technical elements from the user's invention description.

Actions:

  1. Domain Analysis: Identify the technical field (技术领域)
  2. Problem Identification: Define what technical problem is being solved (技术问题)
  3. Solution Extraction: Extract the proposed technical solution (技术方案)
  4. Effect Assessment: Determine the technical effects and advantages (技术效果)

Output: Structured understanding of the four key elements.

Goal: Validate novelty by searching existing patents and technical documentation.

Actions:

Step 2.1: Conditional API Search

Check for availability of SERPAPI_KEY and EXA_API_KEY:

  • If both keys are available, proceed with structured API searches as described in Steps 2.2-2.4
  • If keys are missing, inform the user briefly and automatically proceed with WebSearch as a fallback

Step 2.2: API Patent Search (Conditional)

Execute only if API keys are available:

Method A: SerpAPI Google Patents (Keyword-based)

# Example: Search for AR gesture recognition patents
curl -s "https://serpapi.com/search.json?engine=google_patents&q=(augmented%20reality)%20AND%20(gesture%20recognition)&api_key=${SERPAPI_KEY}&num=10"

Method B: Exa.ai (Semantic)

# Example: Semantic search for similar inventions
curl -X POST 'https://api.exa.ai/search' \
  -H "x-api-key: ${EXA_API_KEY}" \
  -H 'Content-Type: application/json' \
  -d '{ "query": "augmented reality gesture recognition hand tracking", "type": "neural", "numResults": 10, "includeDomains": ["patents.google.com"] }'

Extract from API results:

  • Patent IDs and titles
  • Publication dates
  • Key claims and technical solutions
  • Assignees and filing dates

Read the full file on GitHub · 134 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 9d ago First seen · 134 lines · 66 tokens per session scan A 185057e7bbc0

Subscribe to this mod's changes

patent-architect is a skill published in the GitHub repository ThomasMoreAI/legal-skills-open (72 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 66 tokens to every session and 1,408 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.