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 Raw1mage/patentmcp --skill mpep-searchgit 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/skills/raw1mage/patentmcp/mpep-search)<a href="https://agentmods.dev/skills/raw1mage/patentmcp/mpep-search"><img src="https://agentmods.dev/badge/skills/raw1mage/patentmcp/mpep-search/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/raw1mage/patentmcp/mpep-search"><img src="https://agentmods.dev/badge/skills/raw1mage/patentmcp/mpep-search.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 | $0.00032 | $0.01077 |
| Opus 5 | $0.00016 | $0.00539 |
| Sonnet 5 | $0.00006 | $0.00215 |
| Haiku 4.5 | $0.00003 | $0.00108 |
Grade A, and why
mpep-search 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 mpep-search — 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 — 152 lines — stays where its author put it; the contents beside it link to each section on GitHub.
MPEP Search Skill
Search MPEP corpus through hybrid RAG (FAISS vector + BM25 keyword + HyDE + cross-encoder reranking).
Sources:
- MPEP: Manual of Patent Examining Procedure
- 35 USC: United States Code Title 35
- 37 CFR: Code of Federal Regulations Title 37
- Subsequent Publications: Federal Register updates (post-Jan 2024)
Core Operations
1. search_mpep
Inputs:
query(string, required): Search query (minimum 3 characters)top_k(int, optional): Number of results (default: 5, max: 20)retrieve_k(int | None, optional): Candidates before reranking (default: top_k * 4, max: 100)source_filter(string | None, optional): Filter by source ("MPEP","35_USC","37_CFR","SUBSEQUENT", orNone)is_statute(bool | None, optional): Filter for statute contentis_regulation(bool | None, optional): Filter for regulation contentis_update(bool | None, optional): Filter for recent updates
Outputs:
{
"rank": int,
"source": str,
"section": str,
"file": str,
"page": int,
"has_statute": bool,
"has_mpep_ref": bool,
"has_rule_ref": bool,
"is_statute": bool,
"is_regulation": bool,
"is_update": bool,
"relevance_score": float,
"text": str,
# Optional for SUBSEQUENT:
"doc_type": str,
"fr_citation": str,
"effective_date": str
}
Examples:
# Basic search
search_mpep("enablement requirement 35 USC 112", top_k=5)
# Search only statutes
search_mpep("written description", top_k=10, is_statute=True)
# Search recent updates
search_mpep("AI inventorship", is_update=True)
# Filter by source
search_mpep("fee schedule", source_filter="37_CFR")
2. get_mpep_section
Retrieve all content from specific MPEP section.
Inputs:
section_number(string, required): MPEP section number (e.g.,"2100","608.01")max_chunks(int, optional): Maximum chunks to return (default: 50)
Outputs:
{
"section": str,
"total_chunks": int,
"chunks": [
{
"text": str,
"metadata": {
"source": str,
"file": str,
"page": int,
"section": str,
"has_statute": bool,
"has_mpep_ref": bool,
"has_rule_ref": bool,
"is_statute": bool,
"is_regulation": bool,
"is_update": bool
}
}
]
}
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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 · 152 lines · 32 tokens per session scan A 9c00c588a92c
mpep-search is a skill published in the GitHub repository Raw1mage/patentmcp (2 stars, last pushed 1mo ago), licensed MIT. It adds 32 tokens to every session and 1,077 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 mpep-search, differing in 0 lines, and is treated as a copy.
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