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.
git clone --depth 1 https://github.com/Raw1mage/patentmcpWrote 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/commands/raw1mage/patentmcp/search-prior-art)<a href="https://agentmods.dev/commands/raw1mage/patentmcp/search-prior-art"><img src="https://agentmods.dev/badge/commands/raw1mage/patentmcp/search-prior-art/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/commands/raw1mage/patentmcp/search-prior-art"><img src="https://agentmods.dev/badge/commands/raw1mage/patentmcp/search-prior-art.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 | $0.00019 | $0.02006 |
| Opus 5 | $0.00010 | $0.01003 |
| Sonnet 5 | $0.00004 | $0.00401 |
| Haiku 4.5 | $0.00002 | $0.00201 |
Grade A, and why
search-prior-art scanned grade A with 0 findings 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 10d 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.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
This is a copy
100% identical to search-prior-art — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 327 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Search for Prior Art
Professional patent prior art search with patentability assessment.
What This Command Does
Executes a systematic 7-step prior art search methodology:
- Invention Definition (2-3 min) - Extract key features
- Keyword Strategy (2-3 min) - Build search terms
- Broad Search (3-5 min) - Cast wide net
- CPC Identification (2-3 min) - Find classifications
- Deep CPC Search (5-10 min) - Thorough classification search
- Timeline Analysis (2-3 min) - Technology evolution
- Patentability Report (5-10 min) - Assessment + recommendations
Total Time: 25-45 minutes for thorough search
Who This Is For
- Inventors before filing
- Patent attorneys/agents
- Companies conducting due diligence
- Researchers checking novelty
- Anyone assessing patentability
Process
Step 1: Tell Me About Your Invention
I'll ask you:
- What problem does it solve?
- How does it work?
- What are the key features?
- What makes it novel?
Example:
> Describe your invention...
User: A blockchain-based authentication system that uses
distributed ledger verification instead of centralized
password databases.
> Got it. Key features I extracted:
> - Blockchain technology
> - Authentication/verification
> - Distributed ledger
> - No centralized database
>
> Is this correct? Any other key features?
Step 2: Keyword Search
I'll search BigQuery (100M+ patents) using keywords derived from your description:
# I'll run searches like:
"blockchain authentication"
"distributed ledger verification"
"decentralized identity"
"cryptographic authentication"
I'll review 20-30 results per query and identify the most relevant patents.
Step 3: CPC Classification Search
I'll:
- Extract CPC codes from relevant patents found
- Identify primary classification areas
- Search thoroughly within those classifications
Common CPC codes:
- G06F: Computing/data processing
- H04L: Digital communication
- G06Q: Business methods
- G06N: AI/neural networks
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.
- 10d ago First seen · 327 lines · 19 tokens per session scan A f7bc48385c94
search-prior-art is a command published in the GitHub repository Raw1mage/patentmcp (2 stars, last pushed 1mo ago), licensed MIT. It adds 19 tokens to every session and 2,006 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to search-prior-art, differing in 0 lines, and is treated as a copy.
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