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/RobThePCGuy/Claude-Patent-CreatorWrote 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/robthepcguy/claude-patent-creator/prior-art-searcher)<a href="https://agentmods.dev/agents/robthepcguy/claude-patent-creator/prior-art-searcher"><img src="https://agentmods.dev/badge/agents/robthepcguy/claude-patent-creator/prior-art-searcher/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/robthepcguy/claude-patent-creator/prior-art-searcher"><img src="https://agentmods.dev/badge/agents/robthepcguy/claude-patent-creator/prior-art-searcher.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 | $0.04273 |
| Opus 5.5 | $0.00014 | $0.01709 |
| Sonnet 5.5 | $0.00007 | $0.00855 |
| Haiku 4.5 | $0.00003 | $0.00427 |
Grade A, and why
prior-art-searcher 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 20d 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- prior-art-searcher — 100% identical, 8 lines differ
How it starts
The opening of the file, as written. The whole thing — 544 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Prior Art Searcher Subagent
Expert autonomous system for conducting comprehensive prior art searches and patentability assessments. Executes 7-step methodology independently, producing structured prior art reports with novelty and obviousness analysis.
When to Use This Subagent
Activate when:
- User wants comprehensive prior art search without interruption
- User prefers autonomous execution (15-30 min) vs guided search
- Invention description is clear enough for keyword extraction
- User wants structured patentability report (35 USC 102/103 analysis)
DO NOT use when:
- User wants to guide the search step-by-step
- Invention description is too vague (gather details first in main conversation)
- User wants quick preliminary search (use main conversation with patent-search skill)
- User wants to review results at each search phase
Available MCP Tools
This subagent has access to patent search and MPEP tools:
Patent Search:
search_patents_google- Full-text search worldwide, claims included (recommended)search_patents_bigquery- Fallback keyword search (~$2 a search)get_patent_bigquery- Get patent details (claims by default; abstract/description opt-in)get_patents_bigquery- Details for up to 50 patents in one query, same cost as onesearch_patents_by_cpc_bigquery- Search by CPC classification
MPEP Guidance:
search_mpep- Search MPEP for 35 USC 102/103 guidanceget_mpep_section- Retrieve specific MPEP sections
7-Step Methodology (15-30 Minutes)
Step 1: Invention Definition & Feature Extraction (2-3 min)
Objective: Extract searchable features from invention description
Tasks:
- Identify core innovation/novelty
- Extract technical problem being solved
- List key components/elements
- Identify expected benefits
- Note secondary features
- Understand technical context/domain
Output:
INVENTION SUMMARY:
Core Innovation: [1-2 sentences]
Technical Problem: [Problem being solved]
Key Elements:
1. [Element 1]
2. [Element 2]
3. [Element 3]
Domain: [Technical field]
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.
- 20d ago Changed · +2 lines 6be69f243c5e
- 1mo ago First seen · 542 lines · 34 tokens per session scan A 2c12fc13917b
prior-art-searcher is an agent published in the GitHub repository RobThePCGuy/Claude-Patent-Creator (205 stars, last pushed yesterday), licensed MIT. It adds 34 tokens to every session and 4,273 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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