patsnap-patent-analysis

patsnap-patent-analysis is a skill for Claude Code, Codex from patsnap/mcp. It costs 66 tokens per session (669 once invoked), scanned A, original, Apache-2.0.

A patent-analysis tool that turns an existing patent search result into summaries of trends, distributions, rankings, comparisons, keyword groups, and innovation relationships.

In plain words
What is it for?
Use it to study filing trends, compare companies or technologies, create keyword clouds, and map innovation areas. It analyzes search results rather than finding patents itself.
Why use it?
It helps interpret a search result without manually counting and sorting every patent.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to study filing trends, compare companies or technologies, create keyword clouds, and map innovation areas. It analyzes search results rather than finding patents itself.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/patsnap/mcp/patsnap-patent-analysis
Install

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.

Any agent
npx skills add patsnap/mcp --skill patsnap-patent-analysis
Clone the repo
git clone --depth 1 https://github.com/patsnap/mcp

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for patsnap-patent-analysis

README.md
[![agentmods](https://agentmods.dev/badge/skills/patsnap/mcp/patsnap-patent-analysis/github.svg)](https://agentmods.dev/skills/patsnap/mcp/patsnap-patent-analysis)
Your own site
<a href="https://agentmods.dev/skills/patsnap/mcp/patsnap-patent-analysis"><img src="https://agentmods.dev/badge/skills/patsnap/mcp/patsnap-patent-analysis/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.

agentmods 80×15 button for patsnap-patent-analysis

Your own site · 80×15
<a href="https://agentmods.dev/skills/patsnap/mcp/patsnap-patent-analysis"><img src="https://agentmods.dev/badge/skills/patsnap/mcp/patsnap-patent-analysis.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 66 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 669 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00066 $0.00669
Opus 5.5 $0.00026 $0.00268
Sonnet 5.5 $0.00013 $0.00134
Haiku 4.5 $0.00007 $0.00067

Measured 1mo ago against content hash dcba81a0d1f4, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

patsnap-patent-analysis 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 1mo 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.

ip-intelligence/patsnap-patent-analysis/SKILL.md · 67 lines

How it starts

The opening of the file, as written. The whole thing — 67 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Setup

Get your API key at https://open.zhihuiya.com

Patent Analysis

This skill connects your AI agent to Patsnap's Patent Analysis MCP server.

Prerequisites

{
  "mcpServers": {
    "patent_analysis": {
      "url": "https://connect.zhihuiya.com/e14e5f/logic-mcp?apikey=YOUR_API_KEY",
      "type": "streamableHttp"
    }
  }
}

For the full tool schema, refer to: https://open.zhihuiya.com/marketplace/mcp-servers/patent-analysis


Instructions for AI Agents

Preserve the upstream source

Both analysis tools require a source object derived from the search expression returned by search_patents. Preserve that object for downstream analysis. If it is absent, first invoke an available patent-search MCP. Do not fabricate source from prose or substitute a list of patent numbers unless the live tool schema explicitly supports it.

Choose the analysis tool

  • Use aggregate_patents for trend, distribution, ranking, or one-/two-dimensional cross-tab analysis. It requires source and dimensions; optional inputs include limit_per_dimension and sorts.
  • Use mine_patent_text for a keyword cloud or innovation sunburst. It requires source and subtype; chart_limit controls output size.

Keep comparisons valid

Keep the same source across comparisons unless the user asks to change the patent population. Report the source scope, date and jurisdiction coverage, and family-deduplication assumptions with every analysis.

Counts represent records under the supplied search expression. Do not equate them directly with market share, technical quality, commercial value, or legal strength. Clearly label interpretations and recommend drill-down queries that could test them.

Example Workflows

  • Show annual filing trends and top applicants for this search result.
  • Build a jurisdiction-by-applicant cross-tab.
  • Produce a keyword cloud and explain the dominant themes.
  • Generate an innovation sunburst and identify branches for deeper review.

Read the full file on GitHub · 67 lines

Files

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.

Changes

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.

  1. 1mo ago First seen · 67 lines · 66 tokens per session scan A dcba81a0d1f4

Subscribe to this mod's changes

patsnap-patent-analysis is a skill published in the GitHub repository patsnap/mcp (70 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 66 tokens to every session and 669 once invoked, about $0.0003 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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