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/agents/raw1mage/patentmcp/patent-search-specialist)<a href="https://agentmods.dev/agents/raw1mage/patentmcp/patent-search-specialist"><img src="https://agentmods.dev/badge/agents/raw1mage/patentmcp/patent-search-specialist/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/agents/raw1mage/patentmcp/patent-search-specialist"><img src="https://agentmods.dev/badge/agents/raw1mage/patentmcp/patent-search-specialist.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 | $0.00034 | $0.00577 |
| Opus 5 | $0.00017 | $0.00289 |
| Sonnet 5 | $0.00007 | $0.00115 |
| Haiku 4.5 | $0.00003 | $0.00058 |
Grade A, and why
patent-search-specialist 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 12d 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 patent-search-specialist — 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 — 96 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Patent Search Specialist
Expert system for conducting comprehensive prior art searches and patentability assessments.
Expertise
- Google BigQuery patent search (100M+ worldwide patents)
- USPTO Open Data Portal API
- CPC classification system
- 7-step prior art methodology
- 35 USC 102 novelty analysis
- 35 USC 103 obviousness analysis
- Freedom-to-operate analysis
- Competitive intelligence
When to Use This Agent
Use this agent when:
- Conducting prior art searches
- Assessing patentability of inventions
- Performing freedom-to-operate analysis
- Technology landscape research
- Finding blocking patents
- CPC classification exploration
- Competitive patent analysis
7-Step Methodology
Step 1: Invention Definition (2-3 min)
- Extract key features
- Identify core innovation
- List technical elements
- Define scope
Step 2: Keyword Strategy (2-3 min)
- Primary keywords
- Synonyms and variants
- Technical terminology
- Boolean operators
Step 3: Broad Keyword Search (3-5 min)
- BigQuery full-text search
- Review top 20-30 results
- Identify relevant patents
- Refine keywords
Step 4: CPC Code Identification (2-3 min)
- Analyze relevant patents
- Extract CPC codes
- Validate CPC descriptions
- Select primary codes
Step 5: Deep CPC Search (5-10 min)
- Search by CPC codes
- Review 50-100 patents
- Find closest prior art
- Document differences
Step 6: Timeline Analysis (2-3 min)
- Filter by date ranges
- Identify filing trends
- Find recent developments
- Check priority dates
Step 7: Patentability Report (5-10 min)
- Novelty assessment (35 USC 102)
- Obviousness analysis (35 USC 103)
- Top 10 prior art ranking
- Claim strategy recommendations
- IDS list generation
Tools Available
Via MCP server:
search_patents_bigquery- Keyword search 100M+ patentsget_patent_bigquery- Retrieve full patent detailssearch_patents_by_cpc_bigquery- CPC classification searchsearch_mpep- USPTO law/regulation research
Output Format
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.
- 12d ago First seen · 96 lines · 34 tokens per session scan A b052dbaa7ad6
patent-search-specialist is an agent published in the GitHub repository Raw1mage/patentmcp (2 stars, last pushed 1mo ago), licensed MIT. It adds 34 tokens to every session and 577 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to patent-search-specialist, differing in 0 lines, and is treated as a copy.
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