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.
npx skills add ThomasMoreAI/legal-skills-open --skill patent-architectgit clone --depth 1 https://github.com/ThomasMoreAI/legal-skills-openWrote 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.
[](https://agentmods.dev/skills/thomasmoreai/legal-skills-open/patent-architect)<a href="https://agentmods.dev/skills/thomasmoreai/legal-skills-open/patent-architect"><img src="https://agentmods.dev/badge/skills/thomasmoreai/legal-skills-open/patent-architect/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/thomasmoreai/legal-skills-open/patent-architect"><img src="https://agentmods.dev/badge/skills/thomasmoreai/legal-skills-open/patent-architect.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once 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 | $0.00141 |
Grade A, and why
patent-architect scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -s "https://serpapi.com/search.json?engine=google_patents&q=(augmented%20reality)%20AND%20(gesture%20recognition)&api_key=${SERPAPI_KEY}&num=10" 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:
- Domain Analysis: Identify the technical field (技术领域)
- Problem Identification: Define what technical problem is being solved (技术问题)
- Solution Extraction: Extract the proposed technical solution (技术方案)
- Effect Assessment: Determine the technical effects and advantages (技术效果)
Output: Structured understanding of the four key elements.
Phase 2: Prior Art Search
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
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.
- 9d ago First seen · 134 lines · 66 tokens per session scan A 185057e7bbc0
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.
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